Metadata-Version: 2.1
Name: mlstatpy
Version: 0.4.0
Summary: Points de détails liés au machine learning
Home-page: https://github.com/sdpython/mlstatpy
Author: Xavier Dupré
Author-email: xavier.dupre@gmail.com
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Education
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
License-File: LICENSE.txt
Requires-Dist: mlinsights>=0.2
Requires-Dist: onnxruntime>=1.12
Requires-Dist: skl2onnx

mlstatpy: détours mathématiques autour du machine learning
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    :alt: MIT License
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Le module contient essentiellement des digressions mathématiques
autour du machine learning. Parmi les choses intéressantes,
une courbe *ROC* avec intervalle de confiance, détection
automatique de segment dans une image, un algorithme
d'autocomplétion, une distance d'édition entre graphes,
des petites choses pour les données de Wikipedia,
un algorithme de conversion d'un arbre de décision en
réseaux de neurones.

The package mostly contains documentation. It also implements
some code rarely needed such as ROC curve with bandwidth,
automated segment detection in a image, some simple autocomplete
algorithm, a graph edit distance, some helpers on Wikipedia data,
an algorithm to convert decision trees into neural network.

* `documentation <https://sdpython.github.io/doc/mlstatpy/dev/>`_
