Extends scikit-learn with a couple of new models, transformers, metrics, plotting.

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  • License: MIT License (MIT)
  • Author: Xavier Dupré
  • Tags mlinsights, Xavier Dupré, machine learning, scikit-learn
Classifiers

Project description

https://github.com/sdpython/mlinsights/blob/master/_doc/sphinxdoc/source/phdoc_static/project_ico.png?raw=true

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.

Function pipeline2dot converts a pipeline into a graph:

from mlinsights.plotting import pipeline2dot
dot = pipeline2dot(clf, df)
https://raw.githubusercontent.com/sdpython/mlinsights/master/_doc/sphinxdoc/source/pipeline.png

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  • License: MIT License (MIT)
  • Author: Xavier Dupré
  • Tags mlinsights, Xavier Dupré, machine learning, scikit-learn
Classifiers

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0.5.1

0.5.0

0.4.664

0.3.649

This version

0.3.631

0.3.614

0.3.606

0.3.549

0.3.543

0.2.508

0.2.491

0.2.463

0.2.450

0.2.447

0.2.360

0.2.312

0.2.288

0.1.199

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