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replace links also for oneDAL
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david-cortes-intel committed Dec 3, 2024
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2 changes: 1 addition & 1 deletion INSTALL.md
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Expand Up @@ -158,7 +158,7 @@ The build-process (using setup.py) happens in 4 stages:
* cmake and pybind11
* A C++ compiler with C++11 support
* Clang-Format
* [Intel® oneAPI Data Analytics Library (oneDAL)](https://github.com/oneapi-src/oneDAL) version 2021.1 or later
* [Intel® oneAPI Data Analytics Library (oneDAL)](https://github.com/uxlfoundation/oneDAL) version 2021.1 or later
* You can use the pre-built `dal-devel` conda package from conda-forge channel
* MPI (optional, needed for distributed mode)
* You can use the pre-built `impi_rt` and `impi-devel` conda packages from conda-forge channel
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -119,7 +119,7 @@ To patch scikit-learn, you can:
### daal4py and oneDAL
The acceleration is achieved through the use of the Intel(R) oneAPI Data Analytics Library (oneDAL). Learn more:
- [About Intel(R) oneAPI Data Analytics Library](https://github.com/oneapi-src/oneDAL)
- [About Intel(R) oneAPI Data Analytics Library](https://github.com/uxlfoundation/oneDAL)
- [About daal4py](https://github.com/uxlfoundation/scikit-learn-intelex/tree/main/daal4py)
## Samples & Examples
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2 changes: 1 addition & 1 deletion daal4py/README.md
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Expand Up @@ -24,7 +24,7 @@ We publish blogs on Medium, so [follow us](https://medium.com/intel-analytics-so
- [Documentation](https://intelpython.github.io/daal4py/)
- [scikit-learn API and patching](https://intelpython.github.io/daal4py/sklearn.html#sklearn)
- [Building from Sources](https://github.com/uxlfoundation/scikit-learn-intelex/blob/main/daal4py/INSTALL.md)
- [About Intel(R) oneAPI Data Analytics Library](https://github.com/oneapi-src/oneDAL)
- [About Intel(R) oneAPI Data Analytics Library](https://github.com/uxlfoundation/oneDAL)

## 💬 Support

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2 changes: 1 addition & 1 deletion deselected_tests.yaml
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Expand Up @@ -162,7 +162,7 @@ deselected_tests:
- ensemble/tests/test_stacking.py::test_stacking_with_sample_weight[StackingClassifier]

# Insufficient accuracy of "coefs" and "intercept" in Elastic Net for multi-target problems
# https://github.com/oneapi-src/oneDAL/issues/494
# https://github.com/uxlfoundation/oneDAL/issues/494
- linear_model/tests/test_coordinate_descent.py::test_enet_multitarget

# oneAPI Data Analytics Library (oneDAL) doesn't support sample_weight (back to scikit-learn),
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126 changes: 63 additions & 63 deletions doc/daal4py/algorithms.rst

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6 changes: 3 additions & 3 deletions doc/sources/samples.rst
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Expand Up @@ -65,11 +65,11 @@ If you want to run them locally, refer to `these instructions
.. 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>
Intel® Extension for Scikit-Learn* Getting Started Sample <https://github.com/uxlfoundation/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/uxlfoundation/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.
.. note:: Explore the complete list of oneAPI code samples in the `oneAPI Samples Catalog <https://uxlfoundation.github.io/oneAPI-samples/>`_. These samples were designed to help you develop, offload, and optimize multiarchitecture applications targeting CPUs, GPUs, and FPGAs.
2 changes: 1 addition & 1 deletion scripts/CMakeLists.txt
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Expand Up @@ -18,7 +18,7 @@ cmake_minimum_required(VERSION 3.13 FATAL_ERROR)

project("oneDAL python interface"
LANGUAGES CXX
HOMEPAGE_URL https://github.com/oneapi-src/oneDAL
HOMEPAGE_URL https://github.com/uxlfoundation/oneDAL
)

set(CMAKE_BUILD_TYPE Release)
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