mlinsights: tricky scikit-learn =============================== .. image:: https://github.com/sdpython/mlinsights/blob/master/_doc/sphinxdoc/source/_static/project_ico.png?raw=true :target: https://github.com/sdpython/mlinsights/ **Links:** `github `_, `documentation `_, :ref:`README `, :ref:`blog ` .. image:: https://travis-ci.com/sdpython/mlinsights.svg?branch=master :target: https://app.travis-ci.com/github/sdpython/mlinsights/ :alt: Build status .. image:: https://ci.appveyor.com/api/projects/status/uj6tq445k3na7hs9?svg=true :target: https://ci.appveyor.com/project/sdpython/mlinsights :alt: Build Status Windows .. image:: https://circleci.com/gh/sdpython/mlinsights/tree/master.svg?style=svg :target: https://circleci.com/gh/sdpython/mlinsights/tree/master .. image:: https://dev.azure.com/xavierdupre3/mlinsights/_apis/build/status/sdpython.mlinsights%20(2) :target: https://dev.azure.com/xavierdupre3/mlinsights/ .. image:: https://badge.fury.io/py/mlinsights.svg :target: http://badge.fury.io/py/mlinsights .. image:: https://img.shields.io/badge/license-MIT-blue.svg :alt: MIT License :target: http://opensource.org/licenses/MIT .. image:: https://codecov.io/github/sdpython/mlinsights/coverage.svg?branch=master :target: https://codecov.io/github/sdpython/mlinsights?branch=master .. image:: http://img.shields.io/github/issues/sdpython/mlinsights.png :alt: GitHub Issues :target: https://github.com/sdpython/mlinsights/issues .. image:: nbcov.png :target: http://www.xavierdupre.fr/app/mlinsights/helpsphinx/all_notebooks_coverage.html :alt: Notebook Coverage .. image:: https://pepy.tech/badge/mlinsights :target: https://pypi.org/project/mlinsights/ :alt: Downloads .. image:: https://img.shields.io/github/forks/sdpython/mlinsights.svg :target: https://github.com/sdpython/mlinsights/ :alt: Forks .. image:: https://img.shields.io/github/stars/sdpython/mlinsights.svg :target: https://github.com/sdpython/mlinsights/ :alt: Stars .. image:: https://img.shields.io/github/repo-size/sdpython/mlinsights :target: https://github.com/sdpython/mlinsights/ :alt: size *mlinsights* implements functions to get insights on machine learned models or various kind of transforms to help manipulating data in a single pipeline. It implements :class:`QuantileLinearRegression ` which trains a linear regression with :epkg:`L1` norm non-linear correlation based on decision trees, :class:`QuantileMLPRegressor ` which is a modification of *scikit-learn's* :epkg:`MLPRegressor` which trains a multi-layer perceptron with :epkg:`L1` norm... .. toctree:: :maxdepth: 1 tutorial/index api/index i_ex gyexamples/index all_notebooks blog/blogindex i_index Short example: .. runpython:: :showcode: :warningout: FutureWarning from sklearn.datasets import load_diabetes from sklearn.linear_model import LinearRegression from mlinsights.mlmodel import QuantileLinearRegression data = load_diabetes() X, y = data.data, data.target clq = QuantileLinearRegression() clq.fit(X, y) print(clq.coef_) clr = LinearRegression() clr.fit(X, y) print(clr.coef_) This documentation was generated with :epkg:`scikit-learn` version... .. runpython:: :showcode: from sklearn import __version__ print(__version__) +----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+ | :ref:`l-modules` | :ref:`l-functions` | :ref:`l-classes` | :ref:`l-methods` | :ref:`l-staticmethods` | :ref:`l-properties` | +----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+ | :ref:`modindex` | :ref:`l-EX2` | :ref:`search` | :ref:`l-license` | :ref:`l-changes` | :ref:`l-README` | +----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+ | :ref:`genindex` | :ref:`l-FAQ2` | :ref:`l-notebooks` | :ref:`l-HISTORY` | :ref:`l-statcode` | `Unit Test Coverage `_ | +----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+