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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)

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