DOC: Clear warnings when building docs

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": "",

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

doc/sources/samples.rst

@@ -53,13 +53,21 @@ 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::
    :maxdepth: 1
 
    Intel® Extension for Scikit-Learn* Getting Started Sample <https://github.com/oneapi-src/oneAPI-samples/tree/master/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_SKLearn_GettingStarted>
    Intel® Extension for Scikit-Learn*: SVC for Adult dataset Performance Sample <https://github.com/oneapi-src/oneAPI-samples/tree/master/AI-and-Analytics/Features-and-Functionality/Intel_Extension_For_SKLearn_Performance_SVC_Adult>
+   Utilizing daal4py in Data Science Workflows <samples/daal4py_data_science.ipynb>
 
 .. seealso::