.. Copyright 2021 Intel Corporation
..
.. Licensed under the Apache License, Version 2.0 (the "License");
.. you may not use this file except in compliance with the License.
.. You may obtain a copy of the License at
..
..     http://www.apache.org/licenses/LICENSE-2.0
..
.. Unless required by applicable law or agreed to in writing, software
.. distributed under the License is distributed on an "AS IS" BASIS,
.. WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
.. See the License for the specific language governing permissions and
.. limitations under the License.

.. _samples:

#######
Samples
#######

The following samples are also provided as Jupyter notebooks in |intelex| repository.
If you want to run them locally, refer to `these instructions
<https://github.com/uxlfoundation/scikit-learn-intelex/tree/main/examples/notebooks#snake-intelr-extension-for-scikit-learn-notebooks>`_.

.. rubric:: Classification Tasks

.. toctree::
   :maxdepth: 1

   k-Nearest Neighbors (kNN) for MNIST dataset <samples/knn_mnist.ipynb>
   Logistic Regression for Cifar dataset <samples/logistictic_regression_cifar.ipynb>
   Support Vector Classification (SVC) for Adult dataset <samples/svc_adult.ipynb>

.. rubric:: Regression Tasks

.. toctree::
   :maxdepth: 1

   ElasticNet for Airlines DepDelay dataset <samples/ElasticNet.ipynb>
   Lasso Regression for YearPredictionMSD dataset <samples/lasso_regression.ipynb>
   Linear Regression for YearPredictionMSD dataset <samples/linear_regression.ipynb>
   Nu-Support Vector Regression (NuSVR) for Medical Charges dataset <samples/nusvr_medical_charges.ipynb>
   Random Forest for Yolanda dataset <samples/random_forest_yolanda.ipynb>
   Rigde Regression for Airlines DepDelay dataset <samples/ridge_regression.ipynb>

.. rubric:: Clustering Tasks

.. toctree::
   :maxdepth: 1

   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>

.. seealso::

   There are also :ref:`Kaggle kernels <kaggle>` that use |intelex| for a variety of machine learning scenarios.

.. note:: Explore the complete list of oneAPI code samples in the `oneAPI Samples Catalog <https://oneapi-src.github.io/oneAPI-samples/>`_. These samples were designed to help you develop, offload, and optimize multiarchitecture applications targeting CPUs, GPUs, and FPGAs.