mlinsights: tricky scikit-learn

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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 QuantileLinearRegression which trains a linear regression with L1 norm non-linear correlation based on decision trees, QuantileMLPRegressor which is a modification of scikit-learn’s MLPRegressor which trains a multi-layer perceptron with L1 norm…

Short example:

from mlinsights.mlmodel import QuantileLinearRegression
clq = QuantileLinearRegression()
clq.fit(X, Y)

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mlinsights - extensions to scikit-learn

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