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2025 fix #2963

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Oct 30, 2024
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13 changes: 1 addition & 12 deletions docs/source/deprecation.rst
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Expand Up @@ -18,7 +18,7 @@
Deprecation Notice
==================

This page provides information about the deprecations of a specific oneDAL functionality.
This page provides information about the deprecations of a specific Intel(R) oneAPI Data Analytics Library (oneDAL) functionality.
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With move to UXL this should be non Intel oneDAL name as this is generic documentation vs Intel specific. Might be worth broader fix

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Hi @napetrov should I change this to "oneAPI Data Analytics Library (oneDAL)" instead?


Java* Interfaces
****************
Expand All @@ -30,17 +30,6 @@ Java* Interfaces
**Alternatives:** Intel(R) Optimized Analytics Package* (OAP) project for the Spark* users.
The project offers a comprehensive set of optimized libraries, including the OAP* MLlib* component. For more information, visit https://github.com/oap-project/oap-mllib.


DAAL CPP SYCL Interfaces
************************

**Deprecation:** The `DAAL CPP SYCL Interfaces <https://github.com/oneapi-src/oneDAL/tree/main/examples/daal/cpp_sycl>`_ in the oneDAL library are deprecated. Starting with the 2024.0 release, oneDAL will not support the DAAL CPP SYCL Interfaces.

**Reasons for deprecation:** Deprecating initial version of SYCL interfaces in favour of oneDAL SYCL interfaces. The ongoing efforts to optimize oneDAL resources and focus strongly on the most widely used features.

**Alternatives:** `oneDAL SYCL interfaces <https://github.com/oneapi-src/oneDAL/tree/main/examples/oneapi/dpc>`_


Compression Functionality
*************************

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3 changes: 2 additions & 1 deletion docs/source/index.rst
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Expand Up @@ -20,7 +20,8 @@
contain the root `toctree` directive.

.. |spec| replace:: |short_name| specification
.. _spec: https://spec.oneapi.com/versions/latest/elements/oneDAL/source/index.html
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.. _spec: https://oneapi-spec.uxlfoundation.org/specifications/oneapi/v1.3-rev-1/elements/onedal/source/#


|full_name| (|short_name|)
------------------------------------------------------
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2 changes: 1 addition & 1 deletion docs/source/onedal/algorithms/clustering/kmeans.rst
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Expand Up @@ -52,7 +52,7 @@ Expression :math:`\|\cdot\|` denotes :math:`L_2` `norm

.. note::
In the general case, :math:`d` may be an arbitrary distance function. Current
version of the oneDAL spec defines only Euclidean distance case.
version of the Intel(R) oneAPI Data Analytics Library (oneDAL) specification defines only Euclidean distance case.


.. _kmeans_t_math_lloyd:
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2 changes: 1 addition & 1 deletion docs/source/onedal/algorithms/decomposition/pca.rst
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Expand Up @@ -76,7 +76,7 @@ The PCA algorithm can be trained using either the covariance or the correlation
The choice of covariance matrix or correlation matrix is application-dependent.
More specifically, if scaling of the features is important for a problem,
which is often the case, using the correlation matrix to compute principal components is more appropriate.
By default, oneDAL uses the correlation matrix to compute the principal components. It is possible
By default, Intel(R) oneAPI Data Analytics Library (oneDAL) uses the correlation matrix to compute the principal components. It is possible
to use the covariance matrix by passing "precomputed" as method and feeding a covariance matrix as input
to the PCA algorithm. To compute the covariance matrix, the :ref:`Covariance <alg_covariance>` algorithm can be used.

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2 changes: 1 addition & 1 deletion docs/source/onedal/gpu_support.rst
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Expand Up @@ -23,7 +23,7 @@ See the differences in CPU and GPU support below.

GPU-Supported Targets
*********************
OneDAL is designed to work with Intel(R) GPUs specifically, but it could potentially
Intel(R) oneAPI Data Analytics Library (oneDAL) is designed to work with Intel(R) GPUs specifically, but it could potentially
run on other hardware platforms if a SYCL runtime is available.

.. tabularcolumns:: |\Y{0.5}|\Y{0.5}|
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2 changes: 1 addition & 1 deletion docs/source/onedal/introduction.rst
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Expand Up @@ -16,7 +16,7 @@

Introduction
************
oneDAL provides redesigned versions of interfaces that account for multi-device targets.
Intel(R) oneAPI Data Analytics Library (oneDAL) provides redesigned versions of interfaces that account for multi-device targets.
For example, CPU and GPU, distributed SPMD interfaces, and many more.

Algorithms Support
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2 changes: 1 addition & 1 deletion docs/source/onedal/spmd/index.rst
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Expand Up @@ -40,7 +40,7 @@ accordance with the input.
:width: 800
:alt: Typical SPMD flow

Example of SPMD Flow in oneDAL
Example of SPMD Flow in Intel(R) oneAPI Data Analytics Library (oneDAL).

.. _communicator_operations:

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