Add CircleCI for build documentation. Fix #1807

.circleci/config.yml

@@ -0,0 +1,44 @@
+version: 2
+jobs:
+  build:
+    docker:
+      - image: circleci/python:2.7
+
+    working_directory: ~/gensim
+
+    steps:
+      - checkout
+
+      - restore_cache:
+          key: pip-cache
+
+      - run:
+          name: Apt install (for latex render)
+          command: |
+            sudo apt-get -yq update
+            sudo apt-get -yq remove texlive-binaries --purge
+            sudo apt-get -yq --no-install-suggests --no-install-recommends --force-yes install dvipng texlive-latex-base texlive-latex-extra texlive-latex-recommended texlive-latex-extra texlive-fonts-recommended latexmk
+
+      - run:
+          name: Basic installation (tox)
+          command: |
+            python -m virtualenv venv
+            source venv/bin/activate
+            pip install tox
+
+      - run:
+          name: Build documentation
+          command: |
+            source venv/bin/activate
+            tox -e docs -vv
+
+      - store_artifacts:
+          path:  docs/src/_build
+          destination: documentation
+
+      - save_cache:
+          key: pip-cache
+          paths:
+            - "~/.cache/pip"
+            - "~/.ccache"
+            - "~/.pip-cache"

.gitignore

@@ -72,4 +72,5 @@ data
 *_out.txt
 *.html
 *.inv
-*.js
+*.js
+docs/_images/

.travis.yml

@@ -13,7 +13,7 @@ language: python
 matrix:
   include:
     - python: '2.7'
-      env: TOXENV="flake8, docs"
+      env: TOXENV="flake8"
 
     - python: '2.7'
       env: TOXENV="py27-linux"

docs/src/conf.py

@@ -25,7 +25,7 @@
 
 # Add any Sphinx extension module names here, as strings. They can be extensions
 # coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
-extensions = ['sphinx.ext.autodoc', 'sphinxcontrib.napoleon']
+extensions = ['sphinx.ext.autodoc', 'sphinxcontrib.napoleon', 'sphinx.ext.imgmath']
 autoclass_content = "both"
 
 # Add any paths that contain templates here, relative to this directory.

gensim/topic_coherence/direct_confirmation_measure.py

@@ -21,7 +21,7 @@ def log_conditional_probability(segmented_topics, accumulator, with_std=False, w
     """
     This function calculates the log-conditional-probability measure
     which is used by coherence measures such as U_mass.
-    This is defined as: m_lc(S_i) = log[(P(W', W*) + e) / P(W*)]
+    This is defined as :math:`m_{lc}(S_i) = log \\frac{P(W', W^{*}) + \epsilon}{P(W^{*})}`.
 
     Args:
         segmented_topics (list): Output from the segmentation module of the segmented