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sklearn-numba-dpex

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0.1.0.dev0 sklearn_numba_dpex-0.1.0.dev0-py3-none-any.whl

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Project: sklearn-numba-dpex
Version: 0.1.0.dev0
Filename: sklearn_numba_dpex-0.1.0.dev0-py3-none-any.whl
Download: [link]
Size: 6879
MD5: 2aba61b0072a228dd7e2e0c9f09f7359
SHA256: b7dac17d0e381e6b323cf30ff55bd141b7b95cfd85e5039019a7cdda85cd54b5
Uploaded: 2022-09-26 12:32:34 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: sklearn-numba-dpex
Version: 0.1.0.dev0
Summary: Computational Engine for scikit-learn based on numba-dpex
Maintainer-Email: Olivier Grisel <olivier.grisel[at]ensta.org>
Project-Url: Homepage, https://github.com/ogrisel/sklearn-numba-dpex
License: BSD 3-Clause License Copyright (c) 2007-2021 The scikit-learn developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3.8
Requires-Dist: scikit-learn
Requires-Dist: numba-dpex
Requires-Dist: dpctl
Requires-Dist: pyopencl
Requires-Dist: scikit-learn-intelex; extra == "benchmark"
Requires-Dist: pandas; extra == "benchmark"
Provides-Extra: benchmark
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 7434 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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sklearn_numba_dpex-0.1.0.dev0.dist-info/LICENSE.txt sha256=vC5VU7MTRHeTNd2trI3m-dEtpvTORuIqjigglRodVFg 1532
sklearn_numba_dpex-0.1.0.dev0.dist-info/METADATA sha256=gp0OC8sY2lRVv9ISNESF3uklUTN7p1b-Sn8bThHZzRY 10524
sklearn_numba_dpex-0.1.0.dev0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
sklearn_numba_dpex-0.1.0.dev0.dist-info/entry_points.txt sha256=LMY3tbW2LxSZJIYTza3Np6O7NrvEB5PTUu-iFLE0j1w 81
sklearn_numba_dpex-0.1.0.dev0.dist-info/top_level.txt sha256=NGo5uknDLQJLJRaGs0Z4MYCEcV4MY5d43FepsACRD-Q 19
sklearn_numba_dpex-0.1.0.dev0.dist-info/RECORD — —

top_level.txt

sklearn_numba_dpex

entry_points.txt

[sklearn_engines]
kmeans = sklearn_numba_dpex.kmeans.drivers:KMeansSklearnEngine