DOC: Clear warnings when building docs (#2134)

* clear warnings when building docs * remove d4p data science notebook * Update doc/build-doc.sh Co-authored-by: Victoriya Fedotova <[email protected]> --------- Co-authored-by: Victoriya Fedotova <[email protected]>
uxlfoundation · Oct 31, 2024 · 7d57161 · 7d57161
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Showing 4 changed files with 11 additions and 4 deletions.
diff --git a/doc/build-doc.sh b/doc/build-doc.sh
@@ -25,7 +25,7 @@ mkdir $SAMPLES_DIR
 
 # copy jupyter notebooks
 cd ..
-cp examples/notebooks/*.ipynb doc/$SAMPLES_DIR
+rsync -a --exclude='doc/$SAMPLES_DIR/daal4py_data_science.ipynb' examples/notebooks/*.ipynb doc/$SAMPLES_DIR
 
 # build the documentation
 cd doc

diff --git a/doc/sources/conf.py b/doc/sources/conf.py
@@ -128,7 +128,7 @@
 
 html_theme_options = {
     "logo_only": False,
-    "display_version": True,
+    "version_selector": True,
     "prev_next_buttons_location": "bottom",
     "style_external_links": False,
     "vcs_pageview_mode": "",

diff --git a/doc/sources/kaggle/classification.rst b/doc/sources/kaggle/classification.rst
@@ -113,7 +113,7 @@ MultiClass Classification
        - training and prediction using scikit-learn-intelex
        - search for optimal paramters using Optuna
        - performance comparison to scikit-learn
-   * - `Support Vector Classification (SVC) for MultiClass Classification
+   * - `Support Vector Classification (SVC) for MultiClass Classification (example 1)
        <https://www.kaggle.com/napetrov/svm-tps-may-2021-with-scikit-learn-intelex>`_
 
        **Data:** [TPS May 2021] Synthetic eCommerce data
@@ -135,7 +135,7 @@ MultiClass Classification
        - searching for optimal parameters for the stacking classifier
        - training and prediction using scikit-learn-intelex
        - performance comparison to scikit-learn
-   * - `Support Vector Classification (SVC) for MultiClass Classification
+   * - `Support Vector Classification (SVC) for MultiClass Classification (example 2)
        <https://www.kaggle.com/code/alexeykolobyanin/tps-dec-svc-with-sklearnex-20x-speedup>`_
 
        **Data:** [TPS Dec 2021] Synthetic Forest Cover Type data

diff --git a/doc/sources/samples.rst b/doc/sources/samples.rst
@@ -53,6 +53,13 @@ If you want to run them locally, refer to `these instructions
    Kmeans for spoken arabic digit dataset <samples/kmeans.ipynb>
    DBSCAN for spoken arabic digit dataset <samples/dbscan.ipynb>
 
+.. rubric:: Dimensionality Reduction Tasks
+
+.. toctree::
+   :maxdepth: 1
+
+   Intel® Extension for Scikit-learn TSNE example <samples/tsne.ipynb>
+
 .. rubric:: Jupyter Notebook Samples
 
 .. toctree::