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Khiops Python Library

This is the repository of the Khiops Python Library for the Khiops AutoML suite.

Description

Khiops is a robust AutoML suite for constructing supervised models (classifiers, regressors and encoders) and unsupervised models (coclusterings). With this package you can use Khiops via Python in two ways:

  • with the module khiops.core: To use Khiops in its native way (Khiops dictionary files + tabular data files as input)
  • with the module khiops.sklearn: To use Khiops with Scikit-Learn estimator objects (Pandas dataframes or Numpy arrays as input)

Installation

# Windows
conda install khiops -c khiops

# Linux/macOS
conda install khiops -c khiops -c conda-forge

Other install method are documented at the Khiops website.

Requirements

Documentation

The API Docs for the Khiops Python library are available here. Other documentation (algorithms, installation, etc) may be found in the Khiops site.

The library itself is documented with docstrings: for example to obtain help on the train_predictor function you can use:

from khiops.sklearn import KhiopsClassifier
help(KhiopsClassifier)

from khiops import core as kh
help(kh.train_predictor)

License

This software is distributed under the BSD 3-Clause-clear License, the text of which is available at https://spdx.org/licenses/BSD-3-Clause-Clear.html or see the LICENSE.md for more details.

Credits

The Khiops Python library is currently developed at Orange Innovation by the Khiops Team: khiops.team@orange.com .