Metadata-Version: 2.1
Name: mlinsights
Version: 0.4.664
Summary: Extends scikit-learn with a couple of new models, transformers, metrics, plotting.
Home-page: http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html
Download-URL: https://github.com/sdpython/mlinsights/
Author: Xavier Dupré
Author-email: xavier.dupre@gmail.com
License: MIT
Keywords: mlinsights,Xavier Dupré,machine learning,scikit-learn
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
License-File: LICENSE.txt


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.. _l-README:

mlinsights - extensions to scikit-learn
=======================================

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*mlinsights* extends *scikit-learn* with a couple of new models,
transformers, metrics, plotting. It provides new trainers such as
*QuantileLinearRegression* which trains a linear regression with *L1* norm
non-linear correlation based on decision trees, or
*QuantileMLPRegressor* a modification of scikit-learn's MLPRegressor
which trains a multi-layer perceptron with *L1* norm.
It also explores *PredictableTSNE* which trains a supervized
model to replicate *t-SNE* results or a *PiecewiseRegression*
which partitions the data before fitting a model on each bucket.

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

Function ``pipeline2dot`` converts a pipeline into a graph:

::

    from mlinsights.plotting import pipeline2dot
    dot = pipeline2dot(clf, df)

.. image:: https://raw.githubusercontent.com/sdpython/mlinsights/master/_doc/sphinxdoc/source/pipeline.png
