Method to dig into machine learned models
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.circleci
_doc
_unittests
src
.gitignore
.landscape.yml
.local.jenkins.lin.yml
.local.jenkins.win.yml
.travis.yml
HISTORY.rst
LICENSE.txt
README.rst
appveyor.yml
build_script.bat
requirements.txt
requirements_conda-3.7.txt
requirements_conda.txt
setup.py

README.rst

README

Build status Build Status Windows https://circleci.com/gh/sdpython/mlinsights/tree/master.svg?style=svg MIT License Requirements Status https://codecov.io/github/sdpython/mlinsights/coverage.svg?branch=master GitHub Issues Waffle Notebook Coverage

mlinsights extends scikit-learn with a couple of new models, transform, metrics, plotting. It provides new trainer such as QuantileLinearRegression 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.

Links: