feat: Adds additional_experiments field to AutoMlTablesInputs

protos/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_classification.proto

@@ -25,7 +25,7 @@ option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instan
 
 // Prediction input format for Image Classification.
 message ImageClassificationPredictionInstance {
-  // The image bytes or GCS URI to make the prediction on.
+  // The image bytes or Cloud Storage URI to make the prediction on.
   string content = 1;
 
   // The MIME type of the content of the image. Only the images in below listed

protos/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_object_detection.proto

@@ -25,7 +25,7 @@ option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instan
 
 // Prediction input format for Image Object Detection.
 message ImageObjectDetectionPredictionInstance {
-  // The image bytes or GCS URI to make the prediction on.
+  // The image bytes or Cloud Storage URI to make the prediction on.
   string content = 1;
 
   // The MIME type of the content of the image. Only the images in below listed

protos/google/cloud/aiplatform/v1beta1/schema/predict/instance/text_extraction.proto

@@ -35,7 +35,7 @@ message TextExtractionPredictionInstance {
 
   // This field is only used for batch prediction. If a key is provided, the
   // batch prediction result will by mapped to this key. If omitted, then the
-  // batch prediction result will contain the entire input instance. AI Platform
+  // batch prediction result will contain the entire input instance. Vertex AI
   // will not check if keys in the request are duplicates, so it is up to the
   // caller to ensure the keys are unique.
   string key = 3;

protos/google/cloud/aiplatform/v1beta1/schema/predict/params/video_classification.proto

@@ -34,15 +34,15 @@ message VideoClassificationPredictionParams {
   // fewer predictions. Default value is 10,000.
   int32 max_predictions = 2;
 
-  // Set to true to request segment-level classification. AI Platform returns
+  // Set to true to request segment-level classification. Vertex AI returns
   // labels and their confidence scores for the entire time segment of the
   // video that user specified in the input instance.
   // Default value is true
   bool segment_classification = 3;
 
-  // Set to true to request shot-level classification. AI Platform determines
+  // Set to true to request shot-level classification. Vertex AI determines
   // the boundaries for each camera shot in the entire time segment of the
-  // video that user specified in the input instance. AI Platform then
+  // video that user specified in the input instance. Vertex AI then
   // returns labels and their confidence scores for each detected shot, along
   // with the start and end time of the shot.
   // WARNING: Model evaluation is not done for this classification type,
@@ -52,7 +52,7 @@ message VideoClassificationPredictionParams {
   bool shot_classification = 4;
 
   // Set to true to request classification for a video at one-second intervals.
-  // AI Platform returns labels and their confidence scores for each second of
+  // Vertex AI returns labels and their confidence scores for each second of
   // the entire time segment of the video that user specified in the input
   // WARNING: Model evaluation is not done for this classification type, the
   // quality of it depends on the training data, but there are no metrics

protos/google/cloud/aiplatform/v1beta1/schema/predict/prediction/classification.proto

@@ -25,8 +25,7 @@ option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.predic
 
 // Prediction output format for Image and Text Classification.
 message ClassificationPredictionResult {
-  // The resource IDs of the AnnotationSpecs that had been identified, ordered
-  // by the confidence score descendingly.
+  // The resource IDs of the AnnotationSpecs that had been identified.
   repeated int64 ids = 1;
 
   // The display names of the AnnotationSpecs that had been identified, order

protos/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_image_classification.proto

@@ -1,4 +1,4 @@
-// Copyright 2020 Google LLC
+// Copyright 2021 Google LLC
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.

protos/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_tables.proto

@@ -267,6 +267,9 @@ message AutoMlTablesInputs {
   // Configuration for exporting test set predictions to a BigQuery table. If
   // this configuration is absent, then the export is not performed.
   ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
+
+  // Additional experiment flags for the Tables training pipeline.
+  repeated string additional_experiments = 11;
 }
 
 // Model metadata specific to AutoML Tables.

protos/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_time_series_forecasting.proto

@@ -270,6 +270,9 @@ message AutoMlForecastingInputs {
   //
   //   * "ignore-validation" - ignore the results of the validation and continue
   string validation_options = 17;
+
+  // Additional experiment flags for the time series forcasting training.
+  repeated string additional_experiments = 25;
 }
 
 // Model metadata specific to AutoML Forecasting.

protos/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_video_action_recognition.proto

@@ -43,6 +43,16 @@ message AutoMlVideoActionRecognitionInputs {
     // also be exported (see ModelService.ExportModel) as a TensorFlow or
     // TensorFlow Lite model and used on a mobile or edge device afterwards.
     MOBILE_VERSATILE_1 = 2;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) to a Jetson device
+    // afterwards.
+    MOBILE_JETSON_VERSATILE_1 = 3;
+
+    // A model that, in addition to being available within Google Cloud, can
+    // also be exported (see ModelService.ExportModel) as a TensorFlow or
+    // TensorFlow Lite model and used on a Coral device afterwards.
+    MOBILE_CORAL_VERSATILE_1 = 4;
   }
 
   ModelType model_type = 1;

protos/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/export_evaluated_data_items_config.proto

@@ -30,7 +30,6 @@ message ExportEvaluatedDataItemsConfig {
   //
   // If not specified, then results are exported to the following auto-created
   // BigQuery table:
-  //
   // <project_id>:export_evaluated_examples_<model_name>_<yyyy_MM_dd'T'HH_mm_ss_SSS'Z'>.evaluated_examples
   string destination_bigquery_uri = 1;