Metadata-Version: 2.1
Name: pymlbenchmark
Version: 0.2.141
Summary: Benchmarks about Machine Learning in Python.
Home-page: http://www.xavierdupre.fr/app/pymlbenchmark/helpsphinx/index.html
Author: Xavier Dupré
Author-email: xavier.dupre@gmail.com
License: MIT
Download-URL: https://github.com/sdpython/pymlbenchmark/
Keywords: pymlbenchmark,Xavier Dupré
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 5 - Production/Stable
Requires-Dist: pyquickhelper
Requires-Dist: mlinsights (>=0.1.199)
Requires-Dist: pyinstrument


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    :target: https://github.com/sdpython/pymlbenchmark/

.. _l-README:

pymlbenchmark: benchmark around machine learning
================================================

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    :alt: Build status

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    :target: https://circleci.com/gh/sdpython/pymlbenchmark/tree/master

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    :target: https://pypi.org/project/pymlbenchmark/

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    :alt: MIT License
    :target: http://opensource.org/licenses/MIT

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     :alt: Requirements Status

.. image:: https://codecov.io/github/sdpython/pymlbenchmark/coverage.svg?branch=master
    :target: https://codecov.io/github/sdpython/pymlbenchmark?branch=master

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    :alt: GitHub Issues
    :target: https://github.com/sdpython/pymlbenchmark/issues

.. image:: http://www.xavierdupre.fr/app/pymlbenchmark/helpsphinx/_images/nbcov.png
    :target: http://www.xavierdupre.fr/app/pymlbenchmark/helpsphinx/all_notebooks_coverage.html
    :alt: Notebook Coverage

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    :alt: Downloads

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    :alt: Forks

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    :alt: Stars

This project started with my first attempt
to bring a modification to
`scikit-learn <https://scikit-learn.org/stable/>`_
The template was reused to measure various
implementations or models and to make them
shorter but with probably less understanding
of the whole script. It evolved into providing
classes to compare `ONNX <https://onnx.ai/>`_
runtimes such as `onnxruntime
<https://github.com/microsoft/onnxruntime>`_
to *scikit-learn*.

* `GitHub/pymlbenchmark <https://github.com/sdpython/pymlbenchmark/>`_
* `documentation <http://www.xavierdupre.fr/app/pymlbenchmark/helpsphinx/index.html>`_
* `Blog <http://www.xavierdupre.fr/app/pymlbenchmark/helpsphinx/blog/main_0000.html#ap-main-0>`_

.. _l-HISTORY:

=======
History
=======

current - 2019-12-13 - 0.00Mb
=============================

* `11`: Fix dimension when calling convert_sklearn (2019-10-07)
* `8`: implements OnnxRuntimeBenchPerfTestRegression (2019-07-15)
* `6`: use assume_finite=True whever possible (2019-07-15)
* `4`: update colors in graph, use similar colors but not equal (2019-05-23)
* `5`: run profiler on some calls and saves the results (2019-04-23)
* `3`: add mechanism to dump error, data to investigate later when it happens (2019-03-12)
* `1`: move benchmark from _benchmarks (2019-03-12)

0.1.30 - 2019-03-07 - 0.02Mb
============================

* `2`: first commit (2019-03-05)


