Skip to content

Commit

Permalink
2025 fix (#2963)
Browse files Browse the repository at this point in the history
* Update data-analytics-pipeline.rst

* Update build-application.rst

* broken links

cant find where the links have been moved

* Update docs/source/deprecation.rst

Co-authored-by: ethanglaser <[email protected]>

* broken links edits

* Trademark fixes

* removed Intel (R) branding

removed Intel (R) branding

---------

Co-authored-by: ethanglaser <[email protected]>
  • Loading branch information
emmwalsh and ethanglaser authored Oct 30, 2024
1 parent 6e81eb4 commit 4202cff
Show file tree
Hide file tree
Showing 7 changed files with 8 additions and 18 deletions.
13 changes: 1 addition & 12 deletions docs/source/deprecation.rst
Original file line number Diff line number Diff line change
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 oneAPI Data Analytics Library (oneDAL) functionality.

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
*************************

Expand Down
3 changes: 2 additions & 1 deletion docs/source/index.rst
Original file line number Diff line number Diff line change
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
.. _spec: https://oneapi-spec.uxlfoundation.org/specifications/oneapi/v1.3-rev-1/elements/onedal/source/#


|full_name| (|short_name|)
------------------------------------------------------
Expand Down
2 changes: 1 addition & 1 deletion docs/source/onedal/algorithms/clustering/kmeans.rst
Original file line number Diff line number Diff line change
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 oneAPI Data Analytics Library (oneDAL) specification defines only Euclidean distance case.


.. _kmeans_t_math_lloyd:
Expand Down
2 changes: 1 addition & 1 deletion docs/source/onedal/algorithms/decomposition/pca.rst
Original file line number Diff line number Diff line change
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, 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.

Expand Down
2 changes: 1 addition & 1 deletion docs/source/onedal/gpu_support.rst
Original file line number Diff line number Diff line change
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
The 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}|
Expand Down
2 changes: 1 addition & 1 deletion docs/source/onedal/introduction.rst
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
Introduction
************
oneDAL provides redesigned versions of interfaces that account for multi-device targets.
The 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
Expand Down
2 changes: 1 addition & 1 deletion docs/source/onedal/spmd/index.rst
Original file line number Diff line number Diff line change
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 the oneAPI Data Analytics Library (oneDAL).

.. _communicator_operations:

Expand Down

0 comments on commit 4202cff

Please sign in to comment.