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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 `_
* `documentation `_
* `Blog `_
Function ``pipeline2dot`` converts a pipeline into a graph:
::
from mlinsights.plotting import pipeline2dot
dot = pipeline2dot(clf, df)
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