pymlbenchmark 0.3.187
Benchmarks about Machine Learning in Python.
License: MIT
Keywords: pymlbenchmark,Xavier Dupré


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.. _l-README:

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

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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 - 2021-01-05 - 0.00Mb
=============================

* `12`: Support double when converting to onnx (2019-12-21)

0.2.141 - 2019-12-13 - 0.04Mb
=============================

* `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)