diff --git a/.gitignore b/.gitignore
index d77e9c7..cdc857c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -72,6 +72,7 @@ docs/source/notebooks/*.yaml
 # Heavy data
 *.cgns
 !notebooks/ex_rotor37_pv.cgns
+*artifact*
 
 ###############################################################################
 # .gitignore PATTERN FORMAT:
diff --git a/examples/pipelines/config.yml b/examples/pipelines/config.yml
new file mode 100644
index 0000000..90adff1
--- /dev/null
+++ b/examples/pipelines/config.yml
@@ -0,0 +1,57 @@
+global:
+  dataset_path: "PLAID-datasets/VKI-LS59"
+  save_path: "./artifacts"
+  train_split_name: "train"
+  test_split_name: "test"
+
+input_scalar_scaler:
+  type: "MinMaxScaler"
+  scalar_names:
+    - angle_in
+    - mach_out
+
+output_scalar_scaler:
+  type: "MinMaxScaler"
+  scalar_names:
+    - Q
+    - power
+    - Pr
+    - Tr
+    - eth_is
+    - angle_out
+
+pca_nodes:
+  base_name: Base_2_2
+  field_name: nodes
+  n_components: 3
+
+pca_mach:
+  base_name: Base_2_2
+  field_name: mach
+  n_components: 5
+
+pca_nut:
+  base_name: Base_2_2
+  field_name: nut
+  n_components: 8
+
+regressor_mach:
+  type: "GaussianProcessRegressor"
+  options:
+    kernel: Matern
+    kernel_options:
+      nu: 2.5
+    optim: fmin_l_bfgs_b
+    num_restarts: 2
+    anisotropic: True
+    random_state: 42
+    show_warnings: False
+  input:
+    scalar_names:
+      - angle_in
+      - mach_out
+    vector_names:
+      - reduced_nodes
+  output:
+    vector_names:
+      - reduced_mach
\ No newline at end of file
diff --git a/examples/pipelines/ml_pipeline_nodes.py b/examples/pipelines/ml_pipeline_nodes.py
new file mode 100644
index 0000000..d099fd1
--- /dev/null
+++ b/examples/pipelines/ml_pipeline_nodes.py
@@ -0,0 +1,280 @@
+# -*- coding: utf-8 -*-
+#
+# This file is subject to the terms and conditions defined in
+# file 'LICENSE.txt', which is part of this source code package.
+#
+#
+
+import numpy as np
+from sklearn.base import BaseEstimator, RegressorMixin, TransformerMixin
+from sklearn.decomposition import PCA
+from plaid.containers.dataset import Dataset
+import copy
+
+from sklearn.preprocessing import StandardScaler, MinMaxScaler
+
+available_scalers = {
+    "StandardScaler": StandardScaler,
+    "MinMaxScaler": MinMaxScaler,
+}
+
+class ScalarScalerNode(BaseEstimator, TransformerMixin):
+
+    def __init__(self, params):
+
+        self.params = params
+
+        self.type_ = params['type']
+        self.scalar_names = params['scalar_names']
+
+        assert self.type_ in available_scalers.keys(), "Scaler "+self.type_+" not available"
+
+        self.model = None
+
+    def get_scalars(self, dataset):
+        if isinstance(dataset, list):
+            dataset = Dataset.from_list_of_samples(dataset)
+        return dataset.get_scalars_to_tabular(
+            scalar_names = self.scalar_names,
+            as_nparray = True
+        )
+
+    def set_scalars(self, dataset, scalars):
+        for i in range(len(dataset)):
+            for j, sn in enumerate(self.scalar_names):
+                dataset[i].add_scalar(sn, scalars[i, j])
+
+    def fit(self, dataset, y=None):
+        self.model = available_scalers[self.type_]()
+
+        scalars = self.get_scalars(dataset)
+        self.model.fit(scalars)
+        self.fitted_ = True
+        return self
+
+    def transform(self, dataset):
+        scalars = self.get_scalars(dataset)
+        scaled_scalars = self.model.transform(scalars)
+        dataset_ = copy.deepcopy(dataset)
+        self.set_scalars(dataset_, scaled_scalars)
+        return dataset_
+
+    def inverse_transform(self, dataset):
+        scaled_scalars = self.get_scalars(dataset)
+        scalars = self.model.inverse_transform(scaled_scalars)
+        dataset_ = copy.deepcopy(dataset)
+        self.set_scalars(dataset_, scalars)
+        return dataset_
+
+
+class PCAEmbeddingNode(BaseEstimator, RegressorMixin, TransformerMixin):
+
+    def __init__(self, params, n_components = None):
+
+        self.params = params
+
+        self.n_components = n_components if n_components is not None else params['n_components']
+
+        self.field_name = params['field_name']
+        self.zone_name  = params.get('zone_name')
+        self.base_name  = params.get('base_name')
+        self.location   = params.get('location', 'Vertex')
+
+        self.model = None
+
+    def get_all_fields(self, dataset):
+        all_fields = []
+        for sample in dataset:
+            for time in sample.get_all_mesh_times():
+                if self.field_name == "nodes":
+                    field = sample.get_nodes(self.zone_name, self.base_name, time).flatten()
+                else:
+                    field = sample.get_field(self.field_name, self.zone_name, self.base_name, self.location, time)
+                all_fields.append(field)
+        return np.array(all_fields)
+
+    def set_reduced_fields(self, dataset, reduced_fields):
+        for i in range(len(dataset)):
+            for j in range(self.n_components):
+                dataset[i].add_scalar(f"reduced_{self.field_name}_{j}", reduced_fields[i, j])
+
+    def get_reduced_fields(self, dataset):
+        if isinstance(dataset, list):
+            dataset = Dataset.from_list_of_samples(dataset)
+        return dataset.get_scalars_to_tabular(
+            scalar_names = [f"reduced_{self.field_name}_{j}" for j in range(self.n_components)],
+            as_nparray = True
+        )
+
+    def set_fields(self, dataset, fields): # TODO: this will not work with multiple times step per sample
+        for i in range(len(dataset)):
+            for time in dataset[i].get_all_mesh_times():
+                dataset[i].add_field(self.field_name, fields[i], self.zone_name, self.base_name, self.location, time)
+
+    def fit(self, dataset, y=None):
+        self.model = PCA(n_components = self.n_components)
+
+        all_fields = self.get_all_fields(dataset)
+        self.model.fit(all_fields)
+        self.fitted_ = True
+        return self
+
+    def transform(self, dataset):
+        all_fields = self.get_all_fields(dataset)
+        reduced_fields = self.model.transform(all_fields)
+        dataset_ = copy.deepcopy(dataset)
+        self.set_reduced_fields(dataset_, reduced_fields)
+        return dataset_
+
+    def inverse_transform(self, dataset):
+        reduced_fields = self.get_reduced_fields(dataset)
+        fields = self.model.inverse_transform(reduced_fields)
+        dataset_ = copy.deepcopy(dataset)
+        self.set_fields(dataset_, fields)
+        return dataset_
+
+
+from sklearn.gaussian_process import GaussianProcessRegressor
+from sklearn.gaussian_process.kernels import Matern, WhiteKernel, ConstantKernel
+from sklearn.multioutput import MultiOutputRegressor
+
+available_kernel_classes = {
+    "Matern":Matern
+}
+
+class GPRegressorNode(BaseEstimator, RegressorMixin, TransformerMixin):
+
+    def __init__(self, params):
+
+        self.params = params
+
+        self.type_   = params['type']
+        self.input   = params['input']
+        self.output  = params['output']
+        self.options = params['options']
+
+
+        assert self.type_ == "GaussianProcessRegressor"
+        assert self.options['kernel'] in available_kernel_classes.keys(), "scikit-learn kernel "+self.options['kernel']+" not available"
+
+        self.model = None
+
+
+    def get_scalars(self, dataset):
+        if isinstance(dataset, list):
+            dataset = Dataset.from_list_of_samples(dataset)
+        return dataset.get_scalars_to_tabular(
+            scalar_names = self.input_names,
+            as_nparray = True
+        )
+
+    def fit(self, dataset, y=None):
+        if isinstance(dataset, list):
+            dataset = Dataset.from_list_of_samples(dataset)
+        all_available_scalar = dataset.get_scalar_names()
+
+        self.input_names = []
+        if "scalar_names" in self.input:
+            self.input_names += self.input["scalar_names"]
+        if "vector_names" in self.input:
+            for vn in self.input["vector_names"]:
+                self.input_names += [s for s in all_available_scalar if s.startswith(vn)]
+
+        self.output_names = []
+        if "scalar_names" in self.output:
+            self.output_names += self.output["scalar_names"]
+        if "vector_names" in self.output:
+            for vn in self.output["vector_names"]:
+                self.output_names += [s for s in all_available_scalar if s.startswith(vn)]
+
+        kernel_class = available_kernel_classes[self.options['kernel']]
+        if self.options["anisotropic"]:
+            kernel = ConstantKernel() * kernel_class(length_scale=np.ones(len(self.input_names)), length_scale_bounds=(1e-8, 1e8),
+                                    **self.options["kernel_options"]) + WhiteKernel(noise_level_bounds=(1e-8, 1e8))
+        else:
+            kernel = kernel_class(length_scale_bounds=(1e-8, 1e8), **self.options["kernel_options"]) \
+                + WhiteKernel(noise_level_bounds=(1e-8, 1e8))
+
+        gpr = GaussianProcessRegressor(
+            kernel=kernel,
+            optimizer=self.options["optim"],
+            n_restarts_optimizer=self.options["num_restarts"],
+            random_state = self.options["random_state"])
+
+        self.model = MultiOutputRegressor(gpr)
+        if isinstance(dataset, list):
+            dataset = Dataset.from_list_of_samples(dataset)
+        X = dataset.get_scalars_to_tabular(
+            scalar_names = self.input_names,
+            as_nparray = True
+        )
+        y = dataset.get_scalars_to_tabular(
+            scalar_names = self.output_names,
+            as_nparray = True
+        )
+        self.model.fit(X, y)
+
+        self.fitted_ = True
+        return self
+
+    def predict(self, dataset):
+        if isinstance(dataset, list):
+            dataset = Dataset.from_list_of_samples(dataset)
+        X = dataset.get_scalars_to_tabular(
+            scalar_names = self.input_names,
+            as_nparray = True
+        )
+
+        pred= self.model.predict(X)
+        if len(self.output_names) == 1:
+            pred = pred.reshape((-1, 1))
+
+        dataset_ = copy.deepcopy(dataset)
+        for i in range(len(dataset)):
+            for j, sn in enumerate(self.output_names):
+                dataset_[i].add_scalar(sn, pred[i, j])
+
+        return dataset_
+
+    def transform(self, dataset):
+        return dataset
+
+    def inverse_transform(self, dataset):
+        return dataset
+
+    def score(self, dataset, dataset_ref):
+        if not dataset_ref:
+            # case where GirdSearchCV is called with only one argument search.fit(dataset)
+            dataset_ref = dataset
+        if isinstance(dataset, list):
+            dataset = Dataset.from_list_of_samples(dataset)
+        X = dataset.get_scalars_to_tabular(
+            scalar_names = self.input_names,
+            as_nparray = True
+        )
+        if isinstance(dataset_ref, list):
+            dataset_ref = Dataset.from_list_of_samples(dataset_ref)
+        y = dataset_ref.get_scalars_to_tabular(
+            scalar_names = self.output_names,
+            as_nparray = True
+        )
+        return self.model.score(X, y)
+
+
+class DatasetTargetTransformerRegressor(BaseEstimator, RegressorMixin):
+    def __init__(self, regressor, transformer):
+        self.regressor = regressor
+        self.transformer = transformer
+
+    def fit(self, dataset, y=None):
+        # Appliquer la transformation sur le dataset (modifie y dans les samples)
+        transformed_dataset = self.transformer.fit_transform(dataset)
+
+        # Entraîner le régressseur sur le dataset transformé
+        self.regressor.fit(transformed_dataset)
+        return self
+
+    def predict(self, dataset):
+        # Prédiction dans l’espace transformé (log(y) par ex.)
+        dataset_pred_transformed = self.regressor.predict(dataset)
+        return self.transformer.inverse_transform(dataset_pred_transformed)
diff --git a/examples/pipelines/sklearn_pipeline.ipynb b/examples/pipelines/sklearn_pipeline.ipynb
new file mode 100644
index 0000000..0ee437f
--- /dev/null
+++ b/examples/pipelines/sklearn_pipeline.ipynb
@@ -0,0 +1,6109 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/data/ssa/users/d582428/envs/plaid-devenv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "import os\n",
+    "import yaml\n",
+    "import time\n",
+    "\n",
+    "from datasets import load_dataset, load_from_disk\n",
+    "from plaid.bridges.huggingface_bridge import huggingface_dataset_to_plaid, huggingface_description_to_problem_definition\n",
+    "from sklearn.model_selection import GridSearchCV\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.compose import ColumnTransformer, TransformedTargetRegressor\n",
+    "\n",
+    "from ml_pipeline_nodes import ScalarScalerNode, GPRegressorNode, PCAEmbeddingNode, DatasetTargetTransformerRegressor\n",
+    "from sklearn.utils import estimator_html_repr\n",
+    "\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore', module='sklearn')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading dataset from HuggingFace Hub took: 0.055 seconds\n",
+      "Converting huggingface dataset to plaid dataset...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 100/100 [00:00<00:00, 478.59it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "with open(\"config.yml\") as f:\n",
+    "    config = yaml.safe_load(f)\n",
+    "\n",
+    "global_params = config[\"global\"]\n",
+    "\n",
+    "\n",
+    "start = time.time()\n",
+    "# hf_dataset = load_dataset(global_params['dataset_path'], split=\"all_samples\")\n",
+    "hf_dataset = load_from_disk(global_params['dataset_path'])\n",
+    "print(f\"Loading dataset from HuggingFace Hub took: {time.time() - start:.2g} seconds\")\n",
+    "\n",
+    "prob_def = huggingface_description_to_problem_definition(hf_dataset.description)\n",
+    "\n",
+    "train_split = prob_def.get_split(global_params['train_split_name'])[:100]\n",
+    "dataset_train, _ = huggingface_dataset_to_plaid(hf_dataset, ids = train_split, processes_number = 24)#os.cpu_count())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-1 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content {\n",
+       "  display: none;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  overflow: visible;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-1 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-1 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".estimator-table summary {\n",
+       "    padding: .5rem;\n",
+       "    font-family: monospace;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "\n",
+       ".estimator-table details[open] {\n",
+       "    padding-left: 0.1rem;\n",
+       "    padding-right: 0.1rem;\n",
+       "    padding-bottom: 0.3rem;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
+       "    background-color: #fff;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(even) {\n",
+       "    background-color: #f6f6f6;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:hover {\n",
+       "    background-color: #e0e0e0;\n",
+       "}\n",
+       "\n",
+       ".estimator-table table td {\n",
+       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
+       "}\n",
+       "\n",
+       ".user-set td {\n",
+       "    color:rgb(255, 94, 0);\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td.value pre {\n",
+       "    color:rgb(255, 94, 0) !important;\n",
+       "    background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".default td {\n",
+       "    color: black;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td i,\n",
+       ".default td i {\n",
+       "    color: black;\n",
+       "}\n",
+       "\n",
+       ".copy-paste-icon {\n",
+       "    background-image: url(data:image/svg+xml;base64,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);\n",
+       "    background-repeat: no-repeat;\n",
+       "    background-size: 14px 14px;\n",
+       "    background-position: 0;\n",
+       "    display: inline-block;\n",
+       "    width: 14px;\n",
+       "    height: 14px;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "</style><body><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>ColumnTransformer(remainder=&#x27;passthrough&#x27;,\n",
+       "                  transformers=[(&#x27;pca&#x27;, PCA(n_components=8),\n",
+       "                                 [0, 1, 2, 3, 4, 5, 6, 7])])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for ColumnTransformer</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transformers',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transformers&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;pca&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('remainder',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">remainder&nbsp;</td>\n",
+       "            <td class=\"value\">&#x27;passthrough&#x27;</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('sparse_threshold',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">sparse_threshold&nbsp;</td>\n",
+       "            <td class=\"value\">0.3</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_jobs',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_jobs&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transformer_weights',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transformer_weights&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose_feature_names_out',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose_feature_names_out&nbsp;</td>\n",
+       "            <td class=\"value\">True</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('force_int_remainder_cols',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">force_int_remainder_cols&nbsp;</td>\n",
+       "            <td class=\"value\">&#x27;deprecated&#x27;</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>pca</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"pca__\"><pre>[0, 1, 2, 3, 4, 5, 6, 7]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCA</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.decomposition.PCA.html\">?<span>Documentation for PCA</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"pca__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">8</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('copy',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">copy&nbsp;</td>\n",
+       "            <td class=\"value\">True</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('whiten',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">whiten&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('svd_solver',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">svd_solver&nbsp;</td>\n",
+       "            <td class=\"value\">&#x27;auto&#x27;</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('tol',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">tol&nbsp;</td>\n",
+       "            <td class=\"value\">0.0</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('iterated_power',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">iterated_power&nbsp;</td>\n",
+       "            <td class=\"value\">&#x27;auto&#x27;</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_oversamples',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_oversamples&nbsp;</td>\n",
+       "            <td class=\"value\">10</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('power_iteration_normalizer',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">power_iteration_normalizer&nbsp;</td>\n",
+       "            <td class=\"value\">&#x27;auto&#x27;</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('random_state',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">random_state&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>remainder</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"remainder__\"></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>passthrough</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"remainder__\"><pre>passthrough</pre></div></div></div></div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
+       "    // Get the parameter prefix from the closest toggleable content\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
+       "\n",
+       "    const originalStyle = element.style;\n",
+       "    const computedStyle = window.getComputedStyle(element);\n",
+       "    const originalWidth = computedStyle.width;\n",
+       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
+       "\n",
+       "    navigator.clipboard.writeText(fullParamName)\n",
+       "        .then(() => {\n",
+       "            element.style.width = originalWidth;\n",
+       "            element.style.color = 'green';\n",
+       "            element.innerHTML = \"Copied!\";\n",
+       "\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        })\n",
+       "        .catch(err => {\n",
+       "            console.error('Failed to copy:', err);\n",
+       "            element.style.color = 'red';\n",
+       "            element.innerHTML = \"Failed!\";\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        });\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
+       "\n",
+       "    element.setAttribute('title', fullParamName);\n",
+       "});\n",
+       "</script></body>"
+      ],
+      "text/plain": [
+       "ColumnTransformer(remainder='passthrough',\n",
+       "                  transformers=[('pca', PCA(n_components=8),\n",
+       "                                 [0, 1, 2, 3, 4, 5, 6, 7])])"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.decomposition import PCA\n",
+    "feats_to_reduce = list(range(8))\n",
+    "preprocessor = ColumnTransformer(\n",
+    "    transformers=[\n",
+    "        (\n",
+    "            \"pca\",\n",
+    "            PCA(n_components=8),\n",
+    "            feats_to_reduce,\n",
+    "        ),\n",
+    "    ],\n",
+    "    remainder=\"passthrough\",\n",
+    ")\n",
+    "preprocessor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-2 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content {\n",
+       "  display: none;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  overflow: visible;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-2 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-2 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".estimator-table summary {\n",
+       "    padding: .5rem;\n",
+       "    font-family: monospace;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "\n",
+       ".estimator-table details[open] {\n",
+       "    padding-left: 0.1rem;\n",
+       "    padding-right: 0.1rem;\n",
+       "    padding-bottom: 0.3rem;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
+       "    background-color: #fff;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(even) {\n",
+       "    background-color: #f6f6f6;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:hover {\n",
+       "    background-color: #e0e0e0;\n",
+       "}\n",
+       "\n",
+       ".estimator-table table td {\n",
+       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
+       "}\n",
+       "\n",
+       ".user-set td {\n",
+       "    color:rgb(255, 94, 0);\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td.value pre {\n",
+       "    color:rgb(255, 94, 0) !important;\n",
+       "    background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".default td {\n",
+       "    color: black;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td i,\n",
+       ".default td i {\n",
+       "    color: black;\n",
+       "}\n",
+       "\n",
+       ".copy-paste-icon {\n",
+       "    background-image: url(data:image/svg+xml;base64,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);\n",
+       "    background-repeat: no-repeat;\n",
+       "    background-size: 14px 14px;\n",
+       "    background-position: 0;\n",
+       "    display: inline-block;\n",
+       "    width: 14px;\n",
+       "    height: 14px;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "</style><body><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;input_scalar_scaler&#x27;,\n",
+       "                 ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;,\n",
+       "                                                           &#x27;mach_out&#x27;],\n",
+       "                                          &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                (&#x27;pca_nodes&#x27;,\n",
+       "                 PCAEmbeddingNode(n_components=3,\n",
+       "                                  params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                          &#x27;field_name&#x27;: &#x27;nodes&#x27;,\n",
+       "                                          &#x27;n_components&#x27;: 3}))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('steps',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">steps&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;input_scalar_scaler&#x27;, ...), (&#x27;pca_nodes&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transform_input',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transform_input&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('memory',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">memory&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"input_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"pca_nodes__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;nodes&#x27;, &#x27;n_components&#x27;: 3}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">3</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
+       "    // Get the parameter prefix from the closest toggleable content\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
+       "\n",
+       "    const originalStyle = element.style;\n",
+       "    const computedStyle = window.getComputedStyle(element);\n",
+       "    const originalWidth = computedStyle.width;\n",
+       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
+       "\n",
+       "    navigator.clipboard.writeText(fullParamName)\n",
+       "        .then(() => {\n",
+       "            element.style.width = originalWidth;\n",
+       "            element.style.color = 'green';\n",
+       "            element.innerHTML = \"Copied!\";\n",
+       "\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        })\n",
+       "        .catch(err => {\n",
+       "            console.error('Failed to copy:', err);\n",
+       "            element.style.color = 'red';\n",
+       "            element.innerHTML = \"Failed!\";\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        });\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
+       "\n",
+       "    element.setAttribute('title', fullParamName);\n",
+       "});\n",
+       "</script></body>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('input_scalar_scaler',\n",
+       "                 ScalarScalerNode(params={'scalar_names': ['angle_in',\n",
+       "                                                           'mach_out'],\n",
+       "                                          'type': 'MinMaxScaler'})),\n",
+       "                ('pca_nodes',\n",
+       "                 PCAEmbeddingNode(n_components=3,\n",
+       "                                  params={'base_name': 'Base_2_2',\n",
+       "                                          'field_name': 'nodes',\n",
+       "                                          'n_components': 3}))])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "preprocessor = Pipeline([\n",
+    "    ('input_scalar_scaler', ScalarScalerNode(params = config['input_scalar_scaler'])),\n",
+    "    ('pca_nodes', PCAEmbeddingNode(params = config['pca_nodes'], n_components = config['pca_nodes']['n_components'])),\n",
+    "])\n",
+    "preprocessor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-3 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content {\n",
+       "  display: none;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  overflow: visible;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-3 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-3 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-3 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-3 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-3 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".estimator-table summary {\n",
+       "    padding: .5rem;\n",
+       "    font-family: monospace;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "\n",
+       ".estimator-table details[open] {\n",
+       "    padding-left: 0.1rem;\n",
+       "    padding-right: 0.1rem;\n",
+       "    padding-bottom: 0.3rem;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
+       "    background-color: #fff;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(even) {\n",
+       "    background-color: #f6f6f6;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:hover {\n",
+       "    background-color: #e0e0e0;\n",
+       "}\n",
+       "\n",
+       ".estimator-table table td {\n",
+       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
+       "}\n",
+       "\n",
+       ".user-set td {\n",
+       "    color:rgb(255, 94, 0);\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td.value pre {\n",
+       "    color:rgb(255, 94, 0) !important;\n",
+       "    background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".default td {\n",
+       "    color: black;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td i,\n",
+       ".default td i {\n",
+       "    color: black;\n",
+       "}\n",
+       "\n",
+       ".copy-paste-icon {\n",
+       "    background-image: url(data:image/svg+xml;base64,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);\n",
+       "    background-repeat: no-repeat;\n",
+       "    background-size: 14px 14px;\n",
+       "    background-position: 0;\n",
+       "    display: inline-block;\n",
+       "    width: 14px;\n",
+       "    height: 14px;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "</style><body><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;output_scalar_scaler&#x27;,\n",
+       "                 ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;Q&#x27;, &#x27;power&#x27;, &#x27;Pr&#x27;,\n",
+       "                                                           &#x27;Tr&#x27;, &#x27;eth_is&#x27;,\n",
+       "                                                           &#x27;angle_out&#x27;],\n",
+       "                                          &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                (&#x27;pca_mach&#x27;,\n",
+       "                 PCAEmbeddingNode(n_components=5,\n",
+       "                                  params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                          &#x27;field_name&#x27;: &#x27;mach&#x27;,\n",
+       "                                          &#x27;n_components&#x27;: 5}))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('steps',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">steps&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;output_scalar_scaler&#x27;, ...), (&#x27;pca_mach&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transform_input',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transform_input&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('memory',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">memory&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"output_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;Q&#x27;, &#x27;power&#x27;, ...], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" ><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"pca_mach__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;mach&#x27;, &#x27;n_components&#x27;: 5}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">5</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
+       "    // Get the parameter prefix from the closest toggleable content\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
+       "\n",
+       "    const originalStyle = element.style;\n",
+       "    const computedStyle = window.getComputedStyle(element);\n",
+       "    const originalWidth = computedStyle.width;\n",
+       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
+       "\n",
+       "    navigator.clipboard.writeText(fullParamName)\n",
+       "        .then(() => {\n",
+       "            element.style.width = originalWidth;\n",
+       "            element.style.color = 'green';\n",
+       "            element.innerHTML = \"Copied!\";\n",
+       "\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        })\n",
+       "        .catch(err => {\n",
+       "            console.error('Failed to copy:', err);\n",
+       "            element.style.color = 'red';\n",
+       "            element.innerHTML = \"Failed!\";\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        });\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
+       "\n",
+       "    element.setAttribute('title', fullParamName);\n",
+       "});\n",
+       "</script></body>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('output_scalar_scaler',\n",
+       "                 ScalarScalerNode(params={'scalar_names': ['Q', 'power', 'Pr',\n",
+       "                                                           'Tr', 'eth_is',\n",
+       "                                                           'angle_out'],\n",
+       "                                          'type': 'MinMaxScaler'})),\n",
+       "                ('pca_mach',\n",
+       "                 PCAEmbeddingNode(n_components=5,\n",
+       "                                  params={'base_name': 'Base_2_2',\n",
+       "                                          'field_name': 'mach',\n",
+       "                                          'n_components': 5}))])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "postprocessor = Pipeline(\n",
+    "    [\n",
+    "    ('output_scalar_scaler', ScalarScalerNode(params = config['output_scalar_scaler'])),\n",
+    "    ('pca_mach', PCAEmbeddingNode(params = config['pca_mach'], n_components = config['pca_mach']['n_components'])),\n",
+    "    ]\n",
+    ")\n",
+    "postprocessor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-4 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-4 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-4 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-4 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-4 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-4 div.sk-toggleable__content {\n",
+       "  display: none;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  overflow: visible;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-4 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-4 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-4 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-4 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-4 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-4 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-4 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".estimator-table summary {\n",
+       "    padding: .5rem;\n",
+       "    font-family: monospace;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "\n",
+       ".estimator-table details[open] {\n",
+       "    padding-left: 0.1rem;\n",
+       "    padding-right: 0.1rem;\n",
+       "    padding-bottom: 0.3rem;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
+       "    background-color: #fff;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(even) {\n",
+       "    background-color: #f6f6f6;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:hover {\n",
+       "    background-color: #e0e0e0;\n",
+       "}\n",
+       "\n",
+       ".estimator-table table td {\n",
+       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
+       "}\n",
+       "\n",
+       ".user-set td {\n",
+       "    color:rgb(255, 94, 0);\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td.value pre {\n",
+       "    color:rgb(255, 94, 0) !important;\n",
+       "    background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".default td {\n",
+       "    color: black;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td i,\n",
+       ".default td i {\n",
+       "    color: black;\n",
+       "}\n",
+       "\n",
+       ".copy-paste-icon {\n",
+       "    background-image: url(data:image/svg+xml;base64,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);\n",
+       "    background-repeat: no-repeat;\n",
+       "    background-size: 14px 14px;\n",
+       "    background-position: 0;\n",
+       "    display: inline-block;\n",
+       "    width: 14px;\n",
+       "    height: 14px;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "</style><body><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DatasetTargetTransformerRegressor(regressor=GPRegressorNode(params={&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;,\n",
+       "                                                                                               &#x27;mach_out&#x27;],\n",
+       "                                                                              &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]},\n",
+       "                                                                    &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True,\n",
+       "                                                                                &#x27;kernel&#x27;: &#x27;Matern&#x27;,\n",
+       "                                                                                &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5},\n",
+       "                                                                                &#x27;num_restarts&#x27;: 2,\n",
+       "                                                                                &#x27;optim&#x27;: &#x27;fmin_l_bfgs_b&#x27;,\n",
+       "                                                                                &#x27;random_state&#x27;: 42,\n",
+       "                                                                                &#x27;show_warnings&#x27;: False},\n",
+       "                                                                    &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]},\n",
+       "                                                                    &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;}),\n",
+       "                                  transformer=Pipeline(steps=[(&#x27;output_scalar_scaler&#x27;,\n",
+       "                                                               ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;Q&#x27;,\n",
+       "                                                                                                         &#x27;power&#x27;,\n",
+       "                                                                                                         &#x27;Pr&#x27;,\n",
+       "                                                                                                         &#x27;Tr&#x27;,\n",
+       "                                                                                                         &#x27;eth_is&#x27;,\n",
+       "                                                                                                         &#x27;angle_out&#x27;],\n",
+       "                                                                                        &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                                                              (&#x27;pca_mach&#x27;,\n",
+       "                                                               PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                                                                        &#x27;field_name&#x27;: &#x27;mach&#x27;,\n",
+       "                                                                                        &#x27;n_components&#x27;: 5}))]))</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>DatasetTargetTransformerRegressor</div></div><div><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('regressor',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">regressor&nbsp;</td>\n",
+       "            <td class=\"value\">GPRegressorNo...ssRegressor&#x27;})</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transformer',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transformer&nbsp;</td>\n",
+       "            <td class=\"value\">Pipeline(step...nents&#x27;: 5}))])</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>regressor: GPRegressorNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__\"><pre>GPRegressorNode(params={&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;],\n",
+       "                                  &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]},\n",
+       "                        &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;,\n",
+       "                                    &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5},\n",
+       "                                    &#x27;num_restarts&#x27;: 2, &#x27;optim&#x27;: &#x27;fmin_l_bfgs_b&#x27;,\n",
+       "                                    &#x27;random_state&#x27;: 42,\n",
+       "                                    &#x27;show_warnings&#x27;: False},\n",
+       "                        &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]},\n",
+       "                        &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;})</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>GPRegressorNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]}, &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;, &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5}, &#x27;num_restarts&#x27;: 2, ...}, &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]}, &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-15\" type=\"checkbox\" ><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>transformer: Pipeline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"transformer__\"></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-16\" type=\"checkbox\" ><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"transformer__output_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;Q&#x27;, &#x27;power&#x27;, ...], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-17\" type=\"checkbox\" ><label for=\"sk-estimator-id-17\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"transformer__pca_mach__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;mach&#x27;, &#x27;n_components&#x27;: 5}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">5</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
+       "    // Get the parameter prefix from the closest toggleable content\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
+       "\n",
+       "    const originalStyle = element.style;\n",
+       "    const computedStyle = window.getComputedStyle(element);\n",
+       "    const originalWidth = computedStyle.width;\n",
+       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
+       "\n",
+       "    navigator.clipboard.writeText(fullParamName)\n",
+       "        .then(() => {\n",
+       "            element.style.width = originalWidth;\n",
+       "            element.style.color = 'green';\n",
+       "            element.innerHTML = \"Copied!\";\n",
+       "\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        })\n",
+       "        .catch(err => {\n",
+       "            console.error('Failed to copy:', err);\n",
+       "            element.style.color = 'red';\n",
+       "            element.innerHTML = \"Failed!\";\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        });\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
+       "\n",
+       "    element.setAttribute('title', fullParamName);\n",
+       "});\n",
+       "</script></body>"
+      ],
+      "text/plain": [
+       "DatasetTargetTransformerRegressor(regressor=GPRegressorNode(params={'input': {'scalar_names': ['angle_in',\n",
+       "                                                                                               'mach_out'],\n",
+       "                                                                              'vector_names': ['reduced_nodes']},\n",
+       "                                                                    'options': {'anisotropic': True,\n",
+       "                                                                                'kernel': 'Matern',\n",
+       "                                                                                'kernel_options': {'nu': 2.5},\n",
+       "                                                                                'num_restarts': 2,\n",
+       "                                                                                'optim': 'fmin_l_bfgs_b',\n",
+       "                                                                                'random_state': 42,\n",
+       "                                                                                'show_warnings': False},\n",
+       "                                                                    'output': {'vector_names': ['reduced_mach']},\n",
+       "                                                                    'type': 'GaussianProcessRegressor'}),\n",
+       "                                  transformer=Pipeline(steps=[('output_scalar_scaler',\n",
+       "                                                               ScalarScalerNode(params={'scalar_names': ['Q',\n",
+       "                                                                                                         'power',\n",
+       "                                                                                                         'Pr',\n",
+       "                                                                                                         'Tr',\n",
+       "                                                                                                         'eth_is',\n",
+       "                                                                                                         'angle_out'],\n",
+       "                                                                                        'type': 'MinMaxScaler'})),\n",
+       "                                                              ('pca_mach',\n",
+       "                                                               PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                params={'base_name': 'Base_2_2',\n",
+       "                                                                                        'field_name': 'mach',\n",
+       "                                                                                        'n_components': 5}))]))"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "regressor = DatasetTargetTransformerRegressor(\n",
+    "    regressor=GPRegressorNode(params = config['regressor_mach']),\n",
+    "    transformer=postprocessor,\n",
+    ")\n",
+    "regressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-5 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-5 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-5 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-5 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-5 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-5 div.sk-toggleable__content {\n",
+       "  display: none;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  overflow: visible;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-5 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-5 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-5 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-5 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-5 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-5 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-5 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".estimator-table summary {\n",
+       "    padding: .5rem;\n",
+       "    font-family: monospace;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "\n",
+       ".estimator-table details[open] {\n",
+       "    padding-left: 0.1rem;\n",
+       "    padding-right: 0.1rem;\n",
+       "    padding-bottom: 0.3rem;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
+       "    background-color: #fff;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(even) {\n",
+       "    background-color: #f6f6f6;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:hover {\n",
+       "    background-color: #e0e0e0;\n",
+       "}\n",
+       "\n",
+       ".estimator-table table td {\n",
+       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
+       "}\n",
+       "\n",
+       ".user-set td {\n",
+       "    color:rgb(255, 94, 0);\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td.value pre {\n",
+       "    color:rgb(255, 94, 0) !important;\n",
+       "    background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".default td {\n",
+       "    color: black;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td i,\n",
+       ".default td i {\n",
+       "    color: black;\n",
+       "}\n",
+       "\n",
+       ".copy-paste-icon {\n",
+       "    background-image: url(data:image/svg+xml;base64,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);\n",
+       "    background-repeat: no-repeat;\n",
+       "    background-size: 14px 14px;\n",
+       "    background-position: 0;\n",
+       "    display: inline-block;\n",
+       "    width: 14px;\n",
+       "    height: 14px;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "</style><body><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
+       "                 Pipeline(steps=[(&#x27;input_scalar_scaler&#x27;,\n",
+       "                                  ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;,\n",
+       "                                                                            &#x27;mach_out&#x27;],\n",
+       "                                                           &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                                 (&#x27;pca_nodes&#x27;,\n",
+       "                                  PCAEmbeddingNode(n_components=3,\n",
+       "                                                   params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                                           &#x27;field_name&#x27;: &#x27;nodes&#x27;,\n",
+       "                                                           &#x27;n_components&#x27;: 3}))])),\n",
+       "                (&#x27;regressor&#x27;,\n",
+       "                 DatasetTargetTransformerRegressor(regressor=GPRegressorNo...\n",
+       "                                                                                     &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]},\n",
+       "                                                                                     &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;}),\n",
+       "                                                   transformer=Pipeline(steps=[(&#x27;output_scalar_scaler&#x27;,\n",
+       "                                                                                ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;Q&#x27;,\n",
+       "                                                                                                                          &#x27;power&#x27;,\n",
+       "                                                                                                                          &#x27;Pr&#x27;,\n",
+       "                                                                                                                          &#x27;Tr&#x27;,\n",
+       "                                                                                                                          &#x27;eth_is&#x27;,\n",
+       "                                                                                                                          &#x27;angle_out&#x27;],\n",
+       "                                                                                                         &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                                                                               (&#x27;pca_mach&#x27;,\n",
+       "                                                                                PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                                 params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                                                                                         &#x27;field_name&#x27;: &#x27;mach&#x27;,\n",
+       "                                                                                                         &#x27;n_components&#x27;: 5}))])))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-18\" type=\"checkbox\" ><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('steps',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">steps&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;preprocessor&#x27;, ...), (&#x27;regressor&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transform_input',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transform_input&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('memory',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">memory&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-19\" type=\"checkbox\" ><label for=\"sk-estimator-id-19\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>preprocessor: Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for preprocessor: Pipeline</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocessor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('steps',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">steps&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;input_scalar_scaler&#x27;, ...), (&#x27;pca_nodes&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transform_input',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transform_input&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('memory',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">memory&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-20\" type=\"checkbox\" ><label for=\"sk-estimator-id-20\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocessor__input_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-21\" type=\"checkbox\" ><label for=\"sk-estimator-id-21\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocessor__pca_nodes__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;nodes&#x27;, &#x27;n_components&#x27;: 3}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">3</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-22\" type=\"checkbox\" ><label for=\"sk-estimator-id-22\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>regressor: DatasetTargetTransformerRegressor</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('regressor',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">regressor&nbsp;</td>\n",
+       "            <td class=\"value\">GPRegressorNo...ssRegressor&#x27;})</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transformer',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transformer&nbsp;</td>\n",
+       "            <td class=\"value\">Pipeline(step...nents&#x27;: 5}))])</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-23\" type=\"checkbox\" ><label for=\"sk-estimator-id-23\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>regressor: GPRegressorNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__regressor__\"><pre>GPRegressorNode(params={&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;],\n",
+       "                                  &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]},\n",
+       "                        &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;,\n",
+       "                                    &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5},\n",
+       "                                    &#x27;num_restarts&#x27;: 2, &#x27;optim&#x27;: &#x27;fmin_l_bfgs_b&#x27;,\n",
+       "                                    &#x27;random_state&#x27;: 42,\n",
+       "                                    &#x27;show_warnings&#x27;: False},\n",
+       "                        &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]},\n",
+       "                        &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;})</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-24\" type=\"checkbox\" ><label for=\"sk-estimator-id-24\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>GPRegressorNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__regressor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]}, &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;, &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5}, &#x27;num_restarts&#x27;: 2, ...}, &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]}, &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-25\" type=\"checkbox\" ><label for=\"sk-estimator-id-25\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>transformer: Pipeline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__transformer__\"></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-26\" type=\"checkbox\" ><label for=\"sk-estimator-id-26\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__transformer__output_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;Q&#x27;, &#x27;power&#x27;, ...], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-27\" type=\"checkbox\" ><label for=\"sk-estimator-id-27\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__transformer__pca_mach__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;mach&#x27;, &#x27;n_components&#x27;: 5}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">5</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div></div></div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
+       "    // Get the parameter prefix from the closest toggleable content\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
+       "\n",
+       "    const originalStyle = element.style;\n",
+       "    const computedStyle = window.getComputedStyle(element);\n",
+       "    const originalWidth = computedStyle.width;\n",
+       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
+       "\n",
+       "    navigator.clipboard.writeText(fullParamName)\n",
+       "        .then(() => {\n",
+       "            element.style.width = originalWidth;\n",
+       "            element.style.color = 'green';\n",
+       "            element.innerHTML = \"Copied!\";\n",
+       "\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        })\n",
+       "        .catch(err => {\n",
+       "            console.error('Failed to copy:', err);\n",
+       "            element.style.color = 'red';\n",
+       "            element.innerHTML = \"Failed!\";\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        });\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
+       "\n",
+       "    element.setAttribute('title', fullParamName);\n",
+       "});\n",
+       "</script></body>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('preprocessor',\n",
+       "                 Pipeline(steps=[('input_scalar_scaler',\n",
+       "                                  ScalarScalerNode(params={'scalar_names': ['angle_in',\n",
+       "                                                                            'mach_out'],\n",
+       "                                                           'type': 'MinMaxScaler'})),\n",
+       "                                 ('pca_nodes',\n",
+       "                                  PCAEmbeddingNode(n_components=3,\n",
+       "                                                   params={'base_name': 'Base_2_2',\n",
+       "                                                           'field_name': 'nodes',\n",
+       "                                                           'n_components': 3}))])),\n",
+       "                ('regressor',\n",
+       "                 DatasetTargetTransformerRegressor(regressor=GPRegressorNo...\n",
+       "                                                                                     'output': {'vector_names': ['reduced_mach']},\n",
+       "                                                                                     'type': 'GaussianProcessRegressor'}),\n",
+       "                                                   transformer=Pipeline(steps=[('output_scalar_scaler',\n",
+       "                                                                                ScalarScalerNode(params={'scalar_names': ['Q',\n",
+       "                                                                                                                          'power',\n",
+       "                                                                                                                          'Pr',\n",
+       "                                                                                                                          'Tr',\n",
+       "                                                                                                                          'eth_is',\n",
+       "                                                                                                                          'angle_out'],\n",
+       "                                                                                                         'type': 'MinMaxScaler'})),\n",
+       "                                                                               ('pca_mach',\n",
+       "                                                                                PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                                 params={'base_name': 'Base_2_2',\n",
+       "                                                                                                         'field_name': 'mach',\n",
+       "                                                                                                         'n_components': 5}))])))])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pipeline = Pipeline(\n",
+    "    steps=[\n",
+    "        (\"preprocessor\", preprocessor),\n",
+    "        (\"regressor\", regressor),\n",
+    "    ]\n",
+    ")\n",
+    "pipeline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-6 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-6 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-6 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-6 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-6 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-6 div.sk-toggleable__content {\n",
+       "  display: none;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  overflow: visible;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-6 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-6 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-6 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-6 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-6 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-6 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-6 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-6 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".estimator-table summary {\n",
+       "    padding: .5rem;\n",
+       "    font-family: monospace;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "\n",
+       ".estimator-table details[open] {\n",
+       "    padding-left: 0.1rem;\n",
+       "    padding-right: 0.1rem;\n",
+       "    padding-bottom: 0.3rem;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
+       "    background-color: #fff;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(even) {\n",
+       "    background-color: #f6f6f6;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:hover {\n",
+       "    background-color: #e0e0e0;\n",
+       "}\n",
+       "\n",
+       ".estimator-table table td {\n",
+       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
+       "}\n",
+       "\n",
+       ".user-set td {\n",
+       "    color:rgb(255, 94, 0);\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td.value pre {\n",
+       "    color:rgb(255, 94, 0) !important;\n",
+       "    background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".default td {\n",
+       "    color: black;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td i,\n",
+       ".default td i {\n",
+       "    color: black;\n",
+       "}\n",
+       "\n",
+       ".copy-paste-icon {\n",
+       "    background-image: url(data:image/svg+xml;base64,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);\n",
+       "    background-repeat: no-repeat;\n",
+       "    background-size: 14px 14px;\n",
+       "    background-position: 0;\n",
+       "    display: inline-block;\n",
+       "    width: 14px;\n",
+       "    height: 14px;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "</style><body><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
+       "                 Pipeline(steps=[(&#x27;input_scalar_scaler&#x27;,\n",
+       "                                  ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;,\n",
+       "                                                                            &#x27;mach_out&#x27;],\n",
+       "                                                           &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                                 (&#x27;pca_nodes&#x27;,\n",
+       "                                  PCAEmbeddingNode(n_components=3,\n",
+       "                                                   params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                                           &#x27;field_name&#x27;: &#x27;nodes&#x27;,\n",
+       "                                                           &#x27;n_components&#x27;: 3}))])),\n",
+       "                (&#x27;regressor&#x27;,\n",
+       "                 DatasetTargetTransformerRegressor(regressor=GPRegressorNo...\n",
+       "                                                                                     &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]},\n",
+       "                                                                                     &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;}),\n",
+       "                                                   transformer=Pipeline(steps=[(&#x27;output_scalar_scaler&#x27;,\n",
+       "                                                                                ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;Q&#x27;,\n",
+       "                                                                                                                          &#x27;power&#x27;,\n",
+       "                                                                                                                          &#x27;Pr&#x27;,\n",
+       "                                                                                                                          &#x27;Tr&#x27;,\n",
+       "                                                                                                                          &#x27;eth_is&#x27;,\n",
+       "                                                                                                                          &#x27;angle_out&#x27;],\n",
+       "                                                                                                         &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                                                                               (&#x27;pca_mach&#x27;,\n",
+       "                                                                                PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                                 params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                                                                                         &#x27;field_name&#x27;: &#x27;mach&#x27;,\n",
+       "                                                                                                         &#x27;n_components&#x27;: 5}))])))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-28\" type=\"checkbox\" ><label for=\"sk-estimator-id-28\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('steps',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">steps&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;preprocessor&#x27;, ...), (&#x27;regressor&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transform_input',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transform_input&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('memory',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">memory&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-29\" type=\"checkbox\" ><label for=\"sk-estimator-id-29\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>preprocessor: Pipeline</div></div><div><a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for preprocessor: Pipeline</span></a></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocessor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('steps',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">steps&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;input_scalar_scaler&#x27;, ...), (&#x27;pca_nodes&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transform_input',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transform_input&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('memory',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">memory&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-30\" type=\"checkbox\" ><label for=\"sk-estimator-id-30\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocessor__input_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-31\" type=\"checkbox\" ><label for=\"sk-estimator-id-31\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"preprocessor__pca_nodes__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;nodes&#x27;, &#x27;n_components&#x27;: 3}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">3</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-32\" type=\"checkbox\" ><label for=\"sk-estimator-id-32\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>regressor: DatasetTargetTransformerRegressor</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('regressor',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">regressor&nbsp;</td>\n",
+       "            <td class=\"value\">GPRegressorNo...ssRegressor&#x27;})</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transformer',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transformer&nbsp;</td>\n",
+       "            <td class=\"value\">Pipeline(step...nents&#x27;: 5}))])</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-33\" type=\"checkbox\" ><label for=\"sk-estimator-id-33\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>regressor: GPRegressorNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__regressor__\"><pre>GPRegressorNode(params={&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;],\n",
+       "                                  &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]},\n",
+       "                        &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;,\n",
+       "                                    &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5},\n",
+       "                                    &#x27;num_restarts&#x27;: 2, &#x27;optim&#x27;: &#x27;fmin_l_bfgs_b&#x27;,\n",
+       "                                    &#x27;random_state&#x27;: 42,\n",
+       "                                    &#x27;show_warnings&#x27;: False},\n",
+       "                        &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]},\n",
+       "                        &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;})</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-34\" type=\"checkbox\" ><label for=\"sk-estimator-id-34\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>GPRegressorNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__regressor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]}, &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;, &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5}, &#x27;num_restarts&#x27;: 2, ...}, &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]}, &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-35\" type=\"checkbox\" ><label for=\"sk-estimator-id-35\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>transformer: Pipeline</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__transformer__\"></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-36\" type=\"checkbox\" ><label for=\"sk-estimator-id-36\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__transformer__output_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;Q&#x27;, &#x27;power&#x27;, ...], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-37\" type=\"checkbox\" ><label for=\"sk-estimator-id-37\" class=\"sk-toggleable__label  sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content \" data-param-prefix=\"regressor__transformer__pca_mach__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;mach&#x27;, &#x27;n_components&#x27;: 5}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">5</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div></div></div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
+       "    // Get the parameter prefix from the closest toggleable content\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
+       "\n",
+       "    const originalStyle = element.style;\n",
+       "    const computedStyle = window.getComputedStyle(element);\n",
+       "    const originalWidth = computedStyle.width;\n",
+       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
+       "\n",
+       "    navigator.clipboard.writeText(fullParamName)\n",
+       "        .then(() => {\n",
+       "            element.style.width = originalWidth;\n",
+       "            element.style.color = 'green';\n",
+       "            element.innerHTML = \"Copied!\";\n",
+       "\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        })\n",
+       "        .catch(err => {\n",
+       "            console.error('Failed to copy:', err);\n",
+       "            element.style.color = 'red';\n",
+       "            element.innerHTML = \"Failed!\";\n",
+       "            setTimeout(() => {\n",
+       "                element.innerHTML = originalHTML;\n",
+       "                element.style = originalStyle;\n",
+       "            }, 2000);\n",
+       "        });\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
+       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
+       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
+       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
+       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
+       "\n",
+       "    element.setAttribute('title', fullParamName);\n",
+       "});\n",
+       "</script></body>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('preprocessor',\n",
+       "                 Pipeline(steps=[('input_scalar_scaler',\n",
+       "                                  ScalarScalerNode(params={'scalar_names': ['angle_in',\n",
+       "                                                                            'mach_out'],\n",
+       "                                                           'type': 'MinMaxScaler'})),\n",
+       "                                 ('pca_nodes',\n",
+       "                                  PCAEmbeddingNode(n_components=3,\n",
+       "                                                   params={'base_name': 'Base_2_2',\n",
+       "                                                           'field_name': 'nodes',\n",
+       "                                                           'n_components': 3}))])),\n",
+       "                ('regressor',\n",
+       "                 DatasetTargetTransformerRegressor(regressor=GPRegressorNo...\n",
+       "                                                                                     'output': {'vector_names': ['reduced_mach']},\n",
+       "                                                                                     'type': 'GaussianProcessRegressor'}),\n",
+       "                                                   transformer=Pipeline(steps=[('output_scalar_scaler',\n",
+       "                                                                                ScalarScalerNode(params={'scalar_names': ['Q',\n",
+       "                                                                                                                          'power',\n",
+       "                                                                                                                          'Pr',\n",
+       "                                                                                                                          'Tr',\n",
+       "                                                                                                                          'eth_is',\n",
+       "                                                                                                                          'angle_out'],\n",
+       "                                                                                                         'type': 'MinMaxScaler'})),\n",
+       "                                                                               ('pca_mach',\n",
+       "                                                                                PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                                 params={'base_name': 'Base_2_2',\n",
+       "                                                                                                         'field_name': 'mach',\n",
+       "                                                                                                         'n_components': 5}))])))])"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pipeline.fit(dataset_train, dataset_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pipeline.get_params()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n",
+      "5\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(pipeline.get_params()['preprocessor__pca_nodes__n_components'])\n",
+    "print(pipeline.get_params()['regressor__transformer__pca_mach__n_components'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 3 folds for each of 4 candidates, totalling 12 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:45,338:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,338:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,339:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,339:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,340:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,340:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,340:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,341:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,341:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,341:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,342:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,342:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,342:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,343:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,343:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,343:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,344:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,344:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,344:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,344:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,345:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,345:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,345:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,346:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,346:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,346:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,347:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,347:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,347:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,348:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,348:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,348:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,348:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:45,349:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 1/3] END preprocessor__pca_nodes__n_components=2, regressor__transformer__pca_mach__n_components=4;, score=nan total time=   0.9s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:46,292:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,292:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,293:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,293:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,293:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,294:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,294:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,294:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,295:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,295:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,295:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,296:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,296:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,296:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,296:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,297:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,297:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,297:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,298:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,298:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,298:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,299:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,299:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,299:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,300:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,300:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,300:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,300:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,301:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,301:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,301:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,302:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:46,302:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 2/3] END preprocessor__pca_nodes__n_components=2, regressor__transformer__pca_mach__n_components=4;, score=nan total time=   1.0s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:47,137:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,138:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,138:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,138:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,139:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,139:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,139:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,140:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,140:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,140:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,141:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,141:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,141:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,142:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,142:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,142:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,142:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,143:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,143:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,143:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,144:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,144:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,144:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,145:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,145:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,145:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,145:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,146:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,146:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,146:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,147:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,147:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:47,147:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 3/3] END preprocessor__pca_nodes__n_components=2, regressor__transformer__pca_mach__n_components=4;, score=nan total time=   0.9s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:48,151:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,152:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,152:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,153:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,153:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,153:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,154:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,154:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,154:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,155:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,155:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,155:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,156:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,156:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,156:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,156:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,157:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,157:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,157:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,158:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,158:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,158:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,159:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,159:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,159:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,160:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,160:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,160:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,160:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,161:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,161:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,161:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,162:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:48,162:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 1/3] END preprocessor__pca_nodes__n_components=2, regressor__transformer__pca_mach__n_components=5;, score=nan total time=   0.9s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:49,205:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,206:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,206:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,207:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,207:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,207:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,208:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,208:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,208:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,209:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,209:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,209:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,210:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,210:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,210:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,211:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,211:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,211:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,211:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,212:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,212:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,212:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,213:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,213:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,213:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,214:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,214:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,214:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,214:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,215:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,215:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,215:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:49,216:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 2/3] END preprocessor__pca_nodes__n_components=2, regressor__transformer__pca_mach__n_components=5;, score=nan total time=   1.1s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:50,098:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,099:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,099:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,100:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,100:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,100:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,101:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,101:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,101:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,101:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,102:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,102:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,102:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,103:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,103:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,103:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,104:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,104:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,104:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,104:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,105:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,105:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,105:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,106:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,106:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,106:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,107:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,107:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,107:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,107:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,108:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,108:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,108:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 3/3] END preprocessor__pca_nodes__n_components=2, regressor__transformer__pca_mach__n_components=5;, score=nan total time=   0.9s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:50,984:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,984:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,985:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,985:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,985:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,986:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,986:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,986:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,987:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,987:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,987:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,988:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,988:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,988:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,989:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,989:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,989:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,990:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,990:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,990:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,990:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,991:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,991:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,991:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,992:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,992:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,992:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,993:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,993:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,993:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,993:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,994:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,994:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:50,994:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 1/3] END preprocessor__pca_nodes__n_components=3, regressor__transformer__pca_mach__n_components=4;, score=nan total time=   0.9s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:51,868:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,868:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,869:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,869:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,870:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,870:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,870:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,870:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,871:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,871:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,871:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,872:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,872:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,872:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,873:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,873:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,873:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,874:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,874:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,874:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,874:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,875:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,875:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,875:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,876:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,876:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,876:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,877:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,877:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,877:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,877:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,878:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:51,878:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 2/3] END preprocessor__pca_nodes__n_components=3, regressor__transformer__pca_mach__n_components=4;, score=nan total time=   0.9s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:52,666:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,667:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,667:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,668:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,668:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,668:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,669:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,669:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,669:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,670:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,670:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,670:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,671:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,671:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,671:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,671:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,672:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,672:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,672:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,673:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,673:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,673:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,674:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,674:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,674:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,674:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,675:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,675:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,675:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,676:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,676:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,676:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:52,677:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 3/3] END preprocessor__pca_nodes__n_components=3, regressor__transformer__pca_mach__n_components=4;, score=nan total time=   0.8s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:53,603:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,603:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,604:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,605:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,605:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,605:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,606:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,606:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,606:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,607:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,607:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,607:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,608:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,608:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,608:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,608:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,609:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,609:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,609:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,610:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,610:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,610:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,611:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,611:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,611:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,611:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,612:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,612:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,612:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,613:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,613:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,613:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,614:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:53,614:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 1/3] END preprocessor__pca_nodes__n_components=3, regressor__transformer__pca_mach__n_components=5;, score=nan total time=   0.9s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:54,486:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,486:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,487:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,487:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,487:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,488:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,488:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,488:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,489:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,489:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,489:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,490:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,490:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,490:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,491:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,491:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,491:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,491:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,492:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,492:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,492:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,493:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,493:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,493:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,494:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,494:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,494:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,494:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,495:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,495:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,495:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,496:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:54,496:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 2/3] END preprocessor__pca_nodes__n_components=3, regressor__transformer__pca_mach__n_components=5;, score=nan total time=   1.0s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[2025-07-16 18:19:55,422:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,423:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,423:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,424:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,424:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,424:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,425:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,425:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,425:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,426:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,426:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,427:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,427:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,427:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,428:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,428:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,428:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,429:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,429:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,429:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,430:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,430:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,430:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,431:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,431:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,431:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,432:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,432:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,432:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,433:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,433:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,433:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n",
+      "[2025-07-16 18:19:55,434:WARNING:sample.py:add_field(1685)]:field node with name mach already exists -> data will be replaced\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV 3/3] END preprocessor__pca_nodes__n_components=3, regressor__transformer__pca_mach__n_components=5;, score=nan total time=   0.8s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-7 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-7 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-7 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-7 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-7 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-7 div.sk-toggleable__content {\n",
+       "  display: none;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  overflow: visible;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-7 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-7 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-7 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-7 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-7 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-7 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-7 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-7 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".estimator-table summary {\n",
+       "    padding: .5rem;\n",
+       "    font-family: monospace;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "\n",
+       ".estimator-table details[open] {\n",
+       "    padding-left: 0.1rem;\n",
+       "    padding-right: 0.1rem;\n",
+       "    padding-bottom: 0.3rem;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
+       "    background-color: #fff;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:nth-child(even) {\n",
+       "    background-color: #f6f6f6;\n",
+       "}\n",
+       "\n",
+       ".estimator-table .parameters-table tr:hover {\n",
+       "    background-color: #e0e0e0;\n",
+       "}\n",
+       "\n",
+       ".estimator-table table td {\n",
+       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
+       "}\n",
+       "\n",
+       ".user-set td {\n",
+       "    color:rgb(255, 94, 0);\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td.value pre {\n",
+       "    color:rgb(255, 94, 0) !important;\n",
+       "    background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".default td {\n",
+       "    color: black;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".user-set td i,\n",
+       ".default td i {\n",
+       "    color: black;\n",
+       "}\n",
+       "\n",
+       ".copy-paste-icon {\n",
+       "    background-image: url(data:image/svg+xml;base64,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);\n",
+       "    background-repeat: no-repeat;\n",
+       "    background-size: 14px 14px;\n",
+       "    background-position: 0;\n",
+       "    display: inline-block;\n",
+       "    width: 14px;\n",
+       "    height: 14px;\n",
+       "    cursor: pointer;\n",
+       "}\n",
+       "</style><body><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=3,\n",
+       "             estimator=Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
+       "                                        Pipeline(steps=[(&#x27;input_scalar_scaler&#x27;,\n",
+       "                                                         ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;,\n",
+       "                                                                                                   &#x27;mach_out&#x27;],\n",
+       "                                                                                  &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                                                        (&#x27;pca_nodes&#x27;,\n",
+       "                                                         PCAEmbeddingNode(n_components=3,\n",
+       "                                                                          params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                                                                  &#x27;field_name&#x27;: &#x27;nodes&#x27;,\n",
+       "                                                                                  &#x27;n_components&#x27;: 3}))])),\n",
+       "                                       (&#x27;regressor&#x27;,\n",
+       "                                        DatasetTargetTransformerRegre...\n",
+       "                                                                                                       ScalarScalerNode(params={&#x27;scalar_names&#x27;: [&#x27;Q&#x27;,\n",
+       "                                                                                                                                                 &#x27;power&#x27;,\n",
+       "                                                                                                                                                 &#x27;Pr&#x27;,\n",
+       "                                                                                                                                                 &#x27;Tr&#x27;,\n",
+       "                                                                                                                                                 &#x27;eth_is&#x27;,\n",
+       "                                                                                                                                                 &#x27;angle_out&#x27;],\n",
+       "                                                                                                                                &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;})),\n",
+       "                                                                                                      (&#x27;pca_mach&#x27;,\n",
+       "                                                                                                       PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                                                        params={&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;,\n",
+       "                                                                                                                                &#x27;field_name&#x27;: &#x27;mach&#x27;,\n",
+       "                                                                                                                                &#x27;n_components&#x27;: 5}))])))]),\n",
+       "             param_grid={&#x27;preprocessor__pca_nodes__n_components&#x27;: [2, 3],\n",
+       "                         &#x27;regressor__transformer__pca_mach__n_components&#x27;: [4,\n",
+       "                                                                            5]},\n",
+       "             verbose=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-38\" type=\"checkbox\" ><label for=\"sk-estimator-id-38\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>GridSearchCV</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.model_selection.GridSearchCV.html\">?<span>Documentation for GridSearchCV</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('estimator',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">estimator&nbsp;</td>\n",
+       "            <td class=\"value\">Pipeline(step...s&#x27;: 5}))])))])</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('param_grid',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">param_grid&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;preprocessor__pca_nodes__n_components&#x27;: [2, 3], &#x27;regressor__transformer__pca_mach__n_components&#x27;: [4, 5]}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('scoring',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">scoring&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_jobs',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_jobs&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('refit',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">refit&nbsp;</td>\n",
+       "            <td class=\"value\">True</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('cv',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">cv&nbsp;</td>\n",
+       "            <td class=\"value\">3</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">3</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('pre_dispatch',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">pre_dispatch&nbsp;</td>\n",
+       "            <td class=\"value\">&#x27;2*n_jobs&#x27;</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('error_score',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">error_score&nbsp;</td>\n",
+       "            <td class=\"value\">nan</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('return_train_score',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">return_train_score&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-39\" type=\"checkbox\" ><label for=\"sk-estimator-id-39\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>best_estimator_: Pipeline</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___\"></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-40\" type=\"checkbox\" ><label for=\"sk-estimator-id-40\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>preprocessor: Pipeline</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for preprocessor: Pipeline</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___preprocessor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('steps',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">steps&nbsp;</td>\n",
+       "            <td class=\"value\">[(&#x27;input_scalar_scaler&#x27;, ...), (&#x27;pca_nodes&#x27;, ...)]</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transform_input',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transform_input&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('memory',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">memory&nbsp;</td>\n",
+       "            <td class=\"value\">None</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"default\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('verbose',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">verbose&nbsp;</td>\n",
+       "            <td class=\"value\">False</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-41\" type=\"checkbox\" ><label for=\"sk-estimator-id-41\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___preprocessor__input_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-42\" type=\"checkbox\" ><label for=\"sk-estimator-id-42\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___preprocessor__pca_nodes__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;nodes&#x27;, &#x27;n_components&#x27;: 3}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">2</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-43\" type=\"checkbox\" ><label for=\"sk-estimator-id-43\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>regressor: DatasetTargetTransformerRegressor</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___regressor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('regressor',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">regressor&nbsp;</td>\n",
+       "            <td class=\"value\">GPRegressorNo...ssRegressor&#x27;})</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('transformer',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">transformer&nbsp;</td>\n",
+       "            <td class=\"value\">Pipeline(step...nents&#x27;: 5}))])</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-44\" type=\"checkbox\" ><label for=\"sk-estimator-id-44\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>regressor: GPRegressorNode</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___regressor__regressor__\"><pre>GPRegressorNode(params={&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;],\n",
+       "                                  &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]},\n",
+       "                        &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;,\n",
+       "                                    &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5},\n",
+       "                                    &#x27;num_restarts&#x27;: 2, &#x27;optim&#x27;: &#x27;fmin_l_bfgs_b&#x27;,\n",
+       "                                    &#x27;random_state&#x27;: 42,\n",
+       "                                    &#x27;show_warnings&#x27;: False},\n",
+       "                        &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]},\n",
+       "                        &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;})</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-45\" type=\"checkbox\" ><label for=\"sk-estimator-id-45\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>GPRegressorNode</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___regressor__regressor__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;input&#x27;: {&#x27;scalar_names&#x27;: [&#x27;angle_in&#x27;, &#x27;mach_out&#x27;], &#x27;vector_names&#x27;: [&#x27;reduced_nodes&#x27;]}, &#x27;options&#x27;: {&#x27;anisotropic&#x27;: True, &#x27;kernel&#x27;: &#x27;Matern&#x27;, &#x27;kernel_options&#x27;: {&#x27;nu&#x27;: 2.5}, &#x27;num_restarts&#x27;: 2, ...}, &#x27;output&#x27;: {&#x27;vector_names&#x27;: [&#x27;reduced_mach&#x27;]}, &#x27;type&#x27;: &#x27;GaussianProcessRegressor&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-46\" type=\"checkbox\" ><label for=\"sk-estimator-id-46\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>transformer: Pipeline</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___regressor__transformer__\"></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-47\" type=\"checkbox\" ><label for=\"sk-estimator-id-47\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>ScalarScalerNode</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___regressor__transformer__output_scalar_scaler__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;scalar_names&#x27;: [&#x27;Q&#x27;, &#x27;power&#x27;, ...], &#x27;type&#x27;: &#x27;MinMaxScaler&#x27;}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-48\" type=\"checkbox\" ><label for=\"sk-estimator-id-48\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>PCAEmbeddingNode</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"best_estimator___regressor__transformer__pca_mach__\">\n",
+       "        <div class=\"estimator-table\">\n",
+       "            <details>\n",
+       "                <summary>Parameters</summary>\n",
+       "                <table class=\"parameters-table\">\n",
+       "                  <tbody>\n",
+       "                    \n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('params',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
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+       "            <td class=\"param\">params&nbsp;</td>\n",
+       "            <td class=\"value\">{&#x27;base_name&#x27;: &#x27;Base_2_2&#x27;, &#x27;field_name&#x27;: &#x27;mach&#x27;, &#x27;n_components&#x27;: 5}</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "\n",
+       "        <tr class=\"user-set\">\n",
+       "            <td><i class=\"copy-paste-icon\"\n",
+       "                 onclick=\"copyToClipboard('n_components',\n",
+       "                          this.parentElement.nextElementSibling)\"\n",
+       "            ></i></td>\n",
+       "            <td class=\"param\">n_components&nbsp;</td>\n",
+       "            <td class=\"value\">4</td>\n",
+       "        </tr>\n",
+       "    \n",
+       "                  </tbody>\n",
+       "                </table>\n",
+       "            </details>\n",
+       "        </div>\n",
+       "    </div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
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+      ],
+      "text/plain": [
+       "GridSearchCV(cv=3,\n",
+       "             estimator=Pipeline(steps=[('preprocessor',\n",
+       "                                        Pipeline(steps=[('input_scalar_scaler',\n",
+       "                                                         ScalarScalerNode(params={'scalar_names': ['angle_in',\n",
+       "                                                                                                   'mach_out'],\n",
+       "                                                                                  'type': 'MinMaxScaler'})),\n",
+       "                                                        ('pca_nodes',\n",
+       "                                                         PCAEmbeddingNode(n_components=3,\n",
+       "                                                                          params={'base_name': 'Base_2_2',\n",
+       "                                                                                  'field_name': 'nodes',\n",
+       "                                                                                  'n_components': 3}))])),\n",
+       "                                       ('regressor',\n",
+       "                                        DatasetTargetTransformerRegre...\n",
+       "                                                                                                       ScalarScalerNode(params={'scalar_names': ['Q',\n",
+       "                                                                                                                                                 'power',\n",
+       "                                                                                                                                                 'Pr',\n",
+       "                                                                                                                                                 'Tr',\n",
+       "                                                                                                                                                 'eth_is',\n",
+       "                                                                                                                                                 'angle_out'],\n",
+       "                                                                                                                                'type': 'MinMaxScaler'})),\n",
+       "                                                                                                      ('pca_mach',\n",
+       "                                                                                                       PCAEmbeddingNode(n_components=5,\n",
+       "                                                                                                                        params={'base_name': 'Base_2_2',\n",
+       "                                                                                                                                'field_name': 'mach',\n",
+       "                                                                                                                                'n_components': 5}))])))]),\n",
+       "             param_grid={'preprocessor__pca_nodes__n_components': [2, 3],\n",
+       "                         'regressor__transformer__pca_mach__n_components': [4,\n",
+       "                                                                            5]},\n",
+       "             verbose=3)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "param_grid = {\n",
+    "    'preprocessor__pca_nodes__n_components': [2, 3],\n",
+    "    'regressor__transformer__pca_mach__n_components': [4, 5],\n",
+    "}\n",
+    "\n",
+    "# Run GridSearchCV\n",
+    "search = GridSearchCV(pipeline, param_grid=param_grid, cv=3, verbose=3, error_score='raise')\n",
+    "search.fit(dataset_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "plaid-devenv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/pipelines/sklearn_pipeline.py b/examples/pipelines/sklearn_pipeline.py
new file mode 100644
index 0000000..540e937
--- /dev/null
+++ b/examples/pipelines/sklearn_pipeline.py
@@ -0,0 +1,108 @@
+# -*- coding: utf-8 -*-
+#
+# This file is subject to the terms and conditions defined in
+# file 'LICENSE.txt', which is part of this source code package.
+#
+#
+
+import os
+import yaml
+import time
+
+from datasets import load_dataset
+from plaid.bridges.huggingface_bridge import huggingface_dataset_to_plaid, huggingface_description_to_problem_definition
+from sklearn.model_selection import GridSearchCV
+from sklearn.pipeline import Pipeline
+
+from ml_pipeline_nodes import ScalarScalerNode, GPRegressorNode, PCAEmbeddingNode
+
+import warnings
+warnings.filterwarnings('ignore', module='sklearn')
+
+
+with open("config.yml") as f:
+    config = yaml.safe_load(f)
+
+global_params = config["global"]
+
+
+start = time.time()
+hf_dataset = load_dataset(global_params['dataset_path'], split="all_samples")
+print(f"Loading dataset from HuggingFace Hub took: {time.time() - start:.2g} seconds")
+
+prob_def = huggingface_description_to_problem_definition(hf_dataset.description)
+
+train_split = prob_def.get_split(global_params['train_split_name'])[:100]
+dataset_train, _ = huggingface_dataset_to_plaid(hf_dataset, ids = train_split, processes_number = os.cpu_count())
+
+# Pipeline with ``n_components`` specified in PCAEmbeddingNode for GridSearchCV
+pipeline = Pipeline([
+    ('input_scalar_scaler', ScalarScalerNode(params = config['input_scalar_scaler'])),
+    ('output_scalar_scaler', ScalarScalerNode(params = config['output_scalar_scaler'])),
+    ('pca_nodes', PCAEmbeddingNode(params = config['pca_nodes'], n_components = config['pca_nodes']['n_components'])),
+    ('pca_mach', PCAEmbeddingNode(params = config['pca_mach'], n_components = config['pca_mach']['n_components'])),
+    ('regressor_mach', GPRegressorNode(params = config['regressor_mach']))
+])
+
+
+
+print("=================================")
+print("GridSearchCV example:")
+# print("pipeline parameters=", pipeline.get_params(deep=True))
+# print("pipeline parameters=", pipeline.get_params().keys())
+# print("Pipeline steps:", pipeline.steps)
+
+
+param_grid = {
+    'pca_nodes__n_components': [2, 3],
+    'pca_mach__n_components': [4, 5],
+}
+
+# Run GridSearchCV
+search = GridSearchCV(pipeline, param_grid=param_grid, cv=3, verbose=3)
+search.fit(dataset_train)
+
+# Results
+print("Best parameters:", search.best_params_)
+print("Best score:", search.best_score_)
+
+
+
+print("=================================")
+print("Direct pipeline example:")
+
+train_split = prob_def.get_split(global_params['train_split_name'])
+test_split = prob_def.get_split(global_params['train_split_name'])[:24]
+
+dataset_train, _ = huggingface_dataset_to_plaid(hf_dataset, ids = train_split, processes_number = os.cpu_count())
+dataset_test, _ = huggingface_dataset_to_plaid(hf_dataset, ids = test_split, processes_number = os.cpu_count())
+
+# Pipeline with all arguments specified in ``config.yml``
+pipeline = Pipeline([
+    ('input_scalar_scaler', ScalarScalerNode(params = config['input_scalar_scaler'])),
+    ('output_scalar_scaler', ScalarScalerNode(params = config['output_scalar_scaler'])),
+    ('pca_nodes', PCAEmbeddingNode(params = config['pca_nodes'])),
+    ('pca_mach', PCAEmbeddingNode(params = config['pca_mach'])),
+    ('regressor_mach', GPRegressorNode(params = config['regressor_mach']))
+])
+
+
+pipeline.fit(dataset_train)
+print("pipeline fitted")
+
+dataset_test_transformed = pipeline.transform(dataset_test)
+
+print("score =", pipeline.score(dataset_test, dataset_test_transformed))
+
+
+dataset_test_pred = pipeline.inverse_transform(pipeline.predict(dataset_test))
+
+import shutil
+
+if os.path.exists(os.path.join(global_params['save_path'], "dataset_test")):
+    shutil.rmtree(os.path.join(global_params['save_path'], "dataset_test"))
+dataset_test._save_to_dir_(os.path.join(global_params['save_path'], "dataset_test"), verbose = True)
+
+if os.path.exists(os.path.join(global_params['save_path'], "dataset_test_pred")):
+    shutil.rmtree(os.path.join(global_params['save_path'], "dataset_test_pred"))
+dataset_test_pred._save_to_dir_(os.path.join(global_params['save_path'], "dataset_test_pred"), verbose = True)
diff --git a/src/plaid/bridges/huggingface_bridge.py b/src/plaid/bridges/huggingface_bridge.py
index ac78d0b..28dc5f6 100644
--- a/src/plaid/bridges/huggingface_bridge.py
+++ b/src/plaid/bridges/huggingface_bridge.py
@@ -1,8 +1,14 @@
 """Huggingface bridge for PLAID datasets."""
 
+import os
 import pickle
+import shutil
 import sys
-from typing import Callable
+from multiprocessing import Pool
+from typing import Callable, Optional
+
+from datasets import load_from_disk
+from tqdm import tqdm
 
 if sys.version_info >= (3, 11):
     from typing import Self
@@ -83,7 +89,7 @@ def plaid_dataset_to_huggingface(
     """
 
     def generator():
-        for id in range(len(dataset)):
+        for id in tqdm(range(len(dataset))):
             yield {
                 "sample": pickle.dumps(dataset[id].model_dump()),
             }
@@ -135,8 +141,60 @@ def plaid_generator_to_huggingface(
     return ds
 
 
+def huggingface_description_to_problem_definition(
+    description: dict,
+) -> ProblemDefinition:
+    """Converts a huggingface dataset description to a plaid problem definition.
+
+    Args:
+        description (dict): the description field of a huggingface dataset, containing the problem definition
+
+    Returns:
+        problem_definition (ProblemDefinition): the plaid problem definition initialized from the huggingface dataset description
+    """
+    problem_definition = ProblemDefinition()
+    problem_definition.set_task(description["task"])
+    problem_definition.set_split(description["split"])
+    problem_definition.add_input_scalars_names(description["in_scalars_names"])
+    problem_definition.add_output_scalars_names(description["out_scalars_names"])
+    problem_definition.add_input_timeseries_names(description["in_timeseries_names"])
+    problem_definition.add_output_timeseries_names(description["out_timeseries_names"])
+    problem_definition.add_input_fields_names(description["in_fields_names"])
+    problem_definition.add_output_fields_names(description["out_fields_names"])
+    problem_definition.add_input_meshes_names(description["in_meshes_names"])
+    problem_definition.add_output_meshes_names(description["out_meshes_names"])
+
+    return problem_definition
+
+
+class HFToPlaidSampleConverter:
+    """Class to convert a huggingface dataset sample to a plaid sample."""
+
+    def __init__(self, ds):
+        self.ds = ds
+
+    def __call__(self, ind):  # pragma: no cover  (not reported with multiprocessing)
+        """Convert a single sample from the huggingface dataset to a plaid sample."""
+        return Sample.model_validate(pickle.loads(self.ds[ind]["sample"]))
+
+
+class HFShardToPlaidSampleConverter:
+    """Class to convert a huggingface dataset sample shard to a plaid sample."""
+
+    def __init__(self, shard_path):
+        self.ds = load_from_disk(shard_path)
+
+    def __call__(self, idx):  # pragma: no cover (not reported with multiprocessing)
+        """Convert a sample shard from the huggingface dataset to a plaid sample."""
+        sample = self.ds[idx]
+        return Sample.model_validate(pickle.loads(sample["sample"]))
+
+
 def huggingface_dataset_to_plaid(
     ds: datasets.Dataset,
+    ids: Optional[list[int]] = None,
+    processes_number: int = 1,
+    large_dataset: Optional[bool] = False,
 ) -> tuple[Self, ProblemDefinition]:
     """Use this function for converting a plaid dataset from a huggingface dataset.
 
@@ -146,6 +204,9 @@ def huggingface_dataset_to_plaid(
 
     Args:
         ds (datasets.Dataset): the dataset in huggingface format to be converted
+        ids (list, optional): The specific sample IDs to load from the dataset. Defaults to None.
+        processes_number (int, optional): The number of processes used to generate the plaid dataset
+        large_dataset (bool, optional): if True, uses a variant where parallel worker do not each load the complete dataset
 
     Returns:
         dataset (Dataset): the converted dataset.
@@ -160,9 +221,59 @@ def huggingface_dataset_to_plaid(
             dataset = load_from_disk("chanel/dataset")
             plaid_dataset, plaid_problem = huggingface_dataset_to_plaid(dataset)
     """
+    assert processes_number <= len(ds), (
+        "Trying to parallelize with more processes than samples in dataset"
+    )
+    if ids:
+        assert processes_number <= len(ids), (
+            "Trying to parallelize with more processes than selected samples in dataset"
+        )
+
     dataset = Dataset()
-    for i in range(len(ds)):
-        dataset.add_sample(Sample.model_validate(pickle.loads(ds[i]["sample"])))
+
+    print("Converting huggingface dataset to plaid dataset...")
+
+    if large_dataset:
+        if ids:
+            raise NotImplementedError(
+                "ids selection not implemented with large_dataset option"
+            )
+        for i in range(processes_number):
+            shard = ds.shard(num_shards=processes_number, index=i)
+            shard.save_to_disk(f"shards/dataset_shard_{i}")
+
+        def parallel_convert(shard_path, n_workers):
+            converter = HFShardToPlaidSampleConverter(shard_path)
+            with Pool(processes=n_workers) as pool:
+                return list(
+                    tqdm(
+                        pool.imap(converter, range(len(converter.ds))),
+                        total=len(converter.ds),
+                    )
+                )
+
+        samples = []
+
+        for i in range(processes_number):
+            shard_path = os.path.join("shards", f"dataset_shard_{i}")
+            shard_samples = parallel_convert(shard_path, n_workers=processes_number)
+            samples.extend(shard_samples)
+
+        dataset.add_samples(samples)
+
+        if os.path.exists("shards"):
+            shutil.rmtree("shards")
+
+    else:
+        if ids:
+            indices = ids
+        else:
+            indices = range(len(ds))
+        with Pool(processes=processes_number) as pool:
+            for sample in tqdm(
+                pool.imap(HFToPlaidSampleConverter(ds), indices), total=len(indices)
+            ):
+                dataset.add_sample(sample)
 
     infos = {}
     if "legal" in ds.description:
@@ -172,19 +283,7 @@ def huggingface_dataset_to_plaid(
 
     dataset.set_infos(infos)
 
-    problem_definition = ProblemDefinition()
-    problem_definition.set_task(ds.description["task"])
-    problem_definition.set_split(ds.description["split"])
-    problem_definition.add_input_scalars_names(ds.description["in_scalars_names"])
-    problem_definition.add_output_scalars_names(ds.description["out_scalars_names"])
-    problem_definition.add_input_timeseries_names(ds.description["in_timeseries_names"])
-    problem_definition.add_output_timeseries_names(
-        ds.description["out_timeseries_names"]
-    )
-    problem_definition.add_input_fields_names(ds.description["in_fields_names"])
-    problem_definition.add_output_fields_names(ds.description["out_fields_names"])
-    problem_definition.add_input_meshes_names(ds.description["in_meshes_names"])
-    problem_definition.add_output_meshes_names(ds.description["out_meshes_names"])
+    problem_definition = huggingface_description_to_problem_definition(ds.description)
 
     return dataset, problem_definition
 
diff --git a/src/plaid/containers/dataset.py b/src/plaid/containers/dataset.py
index c075146..045056f 100644
--- a/src/plaid/containers/dataset.py
+++ b/src/plaid/containers/dataset.py
@@ -697,6 +697,20 @@ def save(self, fname: Union[str, Path]) -> None:
         # Finally : removes directory <savedir>
         shutil.rmtree(savedir)
 
+    @classmethod
+    def from_list_of_samples(cls, list_of_samples: list[Sample]) -> Self:
+        """Initialise a dataset from a list of samples.
+
+        Args:
+            list_of_samples (list[Sample]): The list of samples.
+
+        Returns:
+            Self: The intialized dataset (Dataset).
+        """
+        instance = cls()
+        instance.add_samples(list_of_samples)
+        return instance
+
     @classmethod
     def load_from_file(
         cls, fname: Union[str, Path], verbose: bool = False, processes_number: int = 0
@@ -1025,17 +1039,19 @@ def __len__(self) -> int:
         """
         return len(self._samples)
 
-    def __getitem__(self, id: int) -> Sample:
+    def __getitem__(
+        self, id: Union[int, slice, list[int], np.ndarray]
+    ) -> Union[Sample, Self]:
         """Retrieve a specific sample by its ID int this dataset.
 
         Args:
-            id (int): The ID of the sample to retrieve.
+            id (Union[int, slice, list[int], np.ndarray]): The ID(s) of the sample to retrieve.
 
         Raises:
             IndexError: If the provided ID is out of bounds or does not exist in the dataset.
 
         Returns:
-            Sample: The sample with the specified ID.
+            Union[Sample, Dataset]: The sample with the specified ID or a dataset in the specified IDs.
 
         Example:
             .. code-block:: python
@@ -1047,12 +1063,21 @@ def __getitem__(self, id: int) -> Sample:
         Seealso:
             This function can also be called using `__call__()`.
         """
-        if id in self._samples:
-            return self._samples[id]
+        if isinstance(id, (slice, list, np.ndarray)):
+            if isinstance(id, slice):
+                id = list(range(*id.indices(len(self))))
+            dataset = Dataset()
+            for i in id:
+                dataset.add_sample(self[int(i)], int(i))
+            dataset.set_infos(self.get_infos())
+            return dataset
         else:
-            raise IndexError(
-                f"sample with {id=} not set -> use 'Dataset.add_sample' or 'Dataset.add_samples'"
-            )
+            if id in self._samples:
+                return self._samples[id]
+            else:
+                raise IndexError(
+                    f"sample with {id=} not set -> use 'Dataset.add_sample' or 'Dataset.add_samples'"
+                )
 
     __call__ = __getitem__
 
diff --git a/tests/bridges/test_huggingface_bridge.py b/tests/bridges/test_huggingface_bridge.py
index 3e6fa55..d54161c 100644
--- a/tests/bridges/test_huggingface_bridge.py
+++ b/tests/bridges/test_huggingface_bridge.py
@@ -22,7 +22,7 @@
 @pytest.fixture()
 def dataset(samples, infos) -> Dataset:
     dataset = Dataset()
-    dataset.add_samples(samples)
+    dataset.add_samples(samples[:2])
     dataset.set_infos(infos)
     return dataset
 
@@ -90,6 +90,32 @@ def test_huggingface_dataset_to_plaid(self, hf_dataset):
         ds, pbdef = huggingface_bridge.huggingface_dataset_to_plaid(hf_dataset)
         self.assert_plaid_dataset(ds, pbdef)
 
+    def test_huggingface_dataset_to_plaid_with_ids(self, hf_dataset):
+        huggingface_bridge.huggingface_dataset_to_plaid(hf_dataset, ids=[0, 1])
+
+    def test_huggingface_dataset_to_plaid_large(self, hf_dataset):
+        huggingface_bridge.huggingface_dataset_to_plaid(
+            hf_dataset, processes_number=2, large_dataset=True
+        )
+
+    def test_huggingface_dataset_to_plaid_with_ids_large(self, hf_dataset):
+        with pytest.raises(NotImplementedError):
+            huggingface_bridge.huggingface_dataset_to_plaid(
+                hf_dataset, ids=[0, 1], processes_number=2, large_dataset=True
+            )
+
+    def test_huggingface_dataset_to_plaid_error_processes_number(self, hf_dataset):
+        with pytest.raises(AssertionError):
+            huggingface_bridge.huggingface_dataset_to_plaid(
+                hf_dataset, processes_number=128
+            )
+
+    def test_huggingface_dataset_to_plaid_error_processes_number_2(self, hf_dataset):
+        with pytest.raises(AssertionError):
+            huggingface_bridge.huggingface_dataset_to_plaid(
+                hf_dataset, ids=[0], processes_number=2
+            )
+
     def test_create_string_for_huggingface_dataset_card(self, hf_dataset):
         huggingface_bridge.create_string_for_huggingface_dataset_card(
             description=hf_dataset.description,
diff --git a/tests/conftest.py b/tests/conftest.py
index 12254f9..8806eae 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -38,7 +38,7 @@ def generate_samples(nb: int, zone_name: str, base_name: str) -> list[Sample]:
 @pytest.fixture()
 def nb_samples() -> int:
     """Number of samples to generate for tests."""
-    return 11
+    return 4
 
 
 @pytest.fixture()
diff --git a/tests/containers/test_dataset.py b/tests/containers/test_dataset.py
index d13c4fb..b01a39d 100644
--- a/tests/containers/test_dataset.py
+++ b/tests/containers/test_dataset.py
@@ -417,6 +417,12 @@ def test_merge_dataset_with_bad_type(self, dataset_with_samples):
 
     # -------------------------------------------------------------------------#
 
+    def test_from_list_of_samples(self, samples):
+        loaded_dataset = Dataset.from_list_of_samples(samples)
+        assert len(loaded_dataset) == len(samples)
+
+    # -------------------------------------------------------------------------#
+
     def test_save(self, dataset_with_samples, tmp_path):
         fname = tmp_path / "test.plaid"
         dataset_with_samples.save(fname)
@@ -551,7 +557,10 @@ def test___getitem__empty(self, dataset):
             dataset[0]
 
     def test___getitem__(self, dataset_with_samples, nb_samples):
-        dataset_with_samples[np.random.randint(nb_samples)]
+        assert isinstance(dataset_with_samples[np.random.randint(nb_samples)], Sample)
+        assert isinstance(dataset_with_samples[1 : nb_samples - 1], Dataset)
+        assert isinstance(dataset_with_samples[np.arange(1, nb_samples - 1)], Dataset)
+        assert isinstance(dataset_with_samples[list(range(1, nb_samples - 1))], Dataset)
 
     def test___call__empty(self, dataset):
         with pytest.raises(IndexError):