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doc: IDZ links update (#1325)
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INSTALL.md

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Intel(R) Extension for Scikit-learn is available at the [Python Package Index](https://pypi.org/project/scikit-learn-intelex/),
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on Anaconda Cloud in [Conda-Forge channel](https://anaconda.org/conda-forge/scikit-learn-intelex) and in [Intel channel](https://anaconda.org/intel/scikit-learn-intelex). You can also build the extension from sources.
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The extension is also available as a part of [Intel® AI Analytics Toolkit](https://software.intel.com/content/www/us/en/develop/tools/oneapi/ai-analytics-toolkit.html) (AI Kit). If you already have AI Kit installed, you do not need to separately install the extension.
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The extension is also available as a part of [Intel® AI Analytics Toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html) (AI Kit). If you already have AI Kit installed, you do not need to separately install the extension.
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## Installation scenarios <!-- omit in toc -->
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README.md

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Intel(R) Extension for Scikit-learn is available at the [Python Package Index](https://pypi.org/project/scikit-learn-intelex/),
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on Anaconda Cloud in [Conda-Forge channel](https://anaconda.org/conda-forge/scikit-learn-intelex) and in [Intel channel](https://anaconda.org/intel/scikit-learn-intelex). You can also build the extension from [sources](INSTALL.md#build-from-sources).
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The extension is also available as a part of [Intel® AI Analytics Toolkit](https://software.intel.com/content/www/us/en/develop/tools/oneapi/ai-analytics-toolkit.html) (AI Kit). If you already have AI Kit installed, you do not need to install the extension.
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The extension is also available as a part of [Intel® AI Analytics Toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html) (AI Kit). If you already have AI Kit installed, you do not need to install the extension.
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Installation via `pip` package manager is recommended by default:
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## oneAPI
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Intel(R) Extension for Scikit-learn is part of [oneAPI](https://oneapi.io) and [Intel® AI Analytics Toolkit](https://software.intel.com/content/www/us/en/develop/tools/oneapi/ai-analytics-toolkit.html) (AI Kit).
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Intel(R) Extension for Scikit-learn is part of [oneAPI](https://oneapi.io) and [Intel® AI Analytics Toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html) (AI Kit).
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## daal4py and oneDAL
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daal4py/sklearn/tree/decision_tree.py

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"""
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Decision tree classifier powered by Intel(R) oneAPI Data Analytics Library.
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https://software.intel.com/en-us/daal-programming-guide-decision-tree-2
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https://software.intel.com/en-us/daal-programming-guide-batch-processing-50
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https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal-documentation.html
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Parameters
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----------
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Fitted estimator.
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[1] https://software.intel.com/en-us/daal-programming-guide-decision-tree-2
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[1] https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal-documentation.html
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"""
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if self.split_criterion not in ('gini', 'infoGain'):

doc/sources/installation.rst

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in `Intel channel <https://anaconda.org/intel/scikit-learn-intelex>`_.
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|intelex| is also available as a part of `Intel AI Analytics Toolkit
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<https://software.intel.com/content/www/us/en/develop/tools/oneapi/ai-analytics-toolkit.html#gs.3lkbv3>`_ (AI Kit).
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<https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html>`_ (AI Kit).
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If you already have AI Kit installed, you do not need to separately install the extension.
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You can also build the extension from :ref:`sources <build_from_sources>`.

doc/sources/oneapi-gpu.rst

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-------------
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For execution on GPU, DPC++ compiler runtime and driver are required. Refer to `DPC++ system
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requirements <https://software.intel.com/content/www/us/en/develop/articles/intel-oneapi-dpcpp-system-requirements.html>`_ for details.
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requirements <https://www.intel.com/content/www/us/en/developer/articles/system-requirements/intel-oneapi-dpcpp-system-requirements.html>`_ for details.
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DPC++ compiler runtime can be installed either from PyPI or Anaconda:
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