mlinsights: tricky scikit-learn
===============================
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**Links:** `github `_,
`documentation `_,
:ref:`README `,
:ref:`blog `
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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
:class:`QuantileLinearRegression `
which trains a linear regression with :epkg:`L1` norm
non-linear correlation based on decision trees,
:class:`QuantileMLPRegressor
`
which is a modification of *scikit-learn's* :epkg:`MLPRegressor`
which trains a multi-layer perceptron with :epkg:`L1` norm...
.. toctree::
:maxdepth: 1
tutorial/index
api/index
i_ex
gyexamples/index
all_notebooks
blog/blogindex
i_index
Short example:
.. runpython::
:showcode:
:warningout: FutureWarning
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_)
This documentation was generated with :epkg:`scikit-learn`
version...
.. runpython::
:showcode:
from sklearn import __version__
print(__version__)
+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+
| :ref:`l-modules` | :ref:`l-functions` | :ref:`l-classes` | :ref:`l-methods` | :ref:`l-staticmethods` | :ref:`l-properties` |
+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+
| :ref:`modindex` | :ref:`l-EX2` | :ref:`search` | :ref:`l-license` | :ref:`l-changes` | :ref:`l-README` |
+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+
| :ref:`genindex` | :ref:`l-FAQ2` | :ref:`l-notebooks` | :ref:`l-HISTORY` | :ref:`l-statcode` | `Unit Test Coverage `_ |
+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+