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 sklearn.datasets import load_diabetes
from sklearn.linear_model import LinearRegression
from mlinsights.mlmodel import QuantileLinearRegression

data = load_diabetes()
X, y = data.data, data.target

clq = QuantileLinearRegression()
clq.fit(X, y)
print(clq.coef_)

clr = LinearRegression()
clr.fit(X, y)
print(clr.coef_)

>>>

    [   5.75895899 -301.11702117  464.04300247  385.35409612 -805.26720203
      425.19307405  110.3164599   245.8509531   738.51804393   35.6856007 ]
    [ -10.0098663  -239.81564367  519.84592005  324.3846455  -792.17563855
      476.73902101  101.04326794  177.06323767  751.27369956   67.62669218]

This documentation was generated with scikit-learn version…

<<<

from sklearn import __version__
print(__version__)

>>>

    1.1.1

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mlinsights - extensions to scikit-learn

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