Metadata-Version: 2.1
Name: mlinsights
Version: 0.1.199
Summary: Extends scikit-learn with a couple of new models, transform, 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/
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
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: pandas-streaming


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.. image:: http://www.xavierdupre.fr/app/mlinsights/helpsphinx/_images/nbcov.png
    :target: http://www.xavierdupre.fr/app/mlinsights/helpsphinx/all_notebooks_coverage.html
    :alt: Notebook Coverage

.. _l-README:

mlsinsights
===========

*mlinsights* extends *scikit-learn* with a couple of new models,
transform, metrics, plotting. It provides new trainer such as
*QuantileLinearRegression* 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>`_


.. _l-HISTORY:

=======
History
=======

current - 2019-03-05 - 0.00Mb
=============================

* `37`: implements interaction_only for polynomial features (2019-02-26)
* `36`: add parameter include_bias to extended features (2019-02-25)
* `34`: rename PiecewiseLinearRegression into PiecewiseRegression (2019-02-23)
* `33`: implement the piecewise classifier (2019-02-23)
* `31`: uses joblib for piecewise linear regression (2019-02-23)
* `30`: explore transpose matrix before computing the polynomial features (2019-02-17)
* `29`: explore different implementation of polynomialfeatures (2019-02-15)
* `28`: implement PiecewiseLinearRegression (2019-02-10)
* `27`: implement TransferTransformer (2019-02-04)

0.1.138 - 2019-02-01 - 0.05Mb
=============================

* `26`: add function to convert a scikit-learn pipeline into a graph (2019-02-01)
* `25`: implements kind of trainable t-SNE (2019-01-31)
* `6`: use keras and pytorch (2019-01-03)

0.1.116 - 2018-11-12 - 0.04Mb
=============================

* `22`: modifies plot gallery to impose coordinates (2018-11-10)
* `20`: implements a QuantileMLPRegressor (quantile regression with MLP) (2018-10-22)
* `19`: fix issues introduced with changes in keras 2.2.4 (2018-10-06)
* `18`: remove warning from scikit-learn about cloning (2018-09-16)
* `16`: move CI to python 3.7 (2018-08-21)
* `17`: replace as_matrix by values (pandas deprecated warning) (2018-07-29)
* `14`: add transform to convert a learner into a transform (sometimes called a  featurizer) (2018-06-19)
* `13`: add transform to do model stacking (2018-06-19)
* `8`: move items from papierstat (2018-06-19)
* `12`: fix bug in quantile regression: wrong weight for linear regression (2018-06-16)
* `11`: specifying quantile (2018-06-16)
* `4`: add function to compute non linear correlations (2018-06-16)
* `10`: implements combination between logistic regression and k-means (2018-05-27)
* `9`: move items from ensae_teaching_cs (2018-05-08)
* `7`: add quantile regression (2018-05-07)
* `5`: replace flake8 by code style (2018-04-14)
* `1`: change background for cells in notebooks converted into rst then in html, highlight-ipython3 (2018-01-05)

0.1.38 - 2017-12-06 - 0.01Mb
============================

* `2`: save features and metadatas for the search engine and retrieves them (2017-12-03)


