Metadata-Version: 1.1
Name: mlinsights
Version: 0.3.614
Summary: Extends scikit-learn with a couple of new models, transformers, metrics, plotting.
Home-page: http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html
Author: Xavier Dupré
Author-email: xavier.dupre@gmail.com
License: MIT
Download-URL: https://github.com/sdpython/mlinsights/
Description: 
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            :target: https://github.com/sdpython/mlinsights/
        
        .. _l-README:
        
        mlinsights - extensions to scikit-learn
        =======================================
        
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            :alt: Build Status Windows
        
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            :target: https://circleci.com/gh/sdpython/mlinsights/tree/master
        
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            :target: https://dev.azure.com/xavierdupre3/mlinsights/
        
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            :target: http://badge.fury.io/py/mlinsights
        
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            :alt: MIT License
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            :target: https://codecov.io/github/sdpython/mlinsights?branch=master
        
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            :alt: GitHub Issues
            :target: https://github.com/sdpython/mlinsights/issues
        
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            :alt: Notebook Coverage
        
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            :target: https://pepy.tech/project/mlinsights/month
            :alt: Downloads
        
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            :target: https://github.com/sdpython/mlinsights/
            :alt: Forks
        
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            :alt: Stars
        
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            :alt: size
        
        *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://github.com/sdpython/mlinsights/raw/master/_doc/pipeline.png
        
Keywords: mlinsights,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
