Khiops Python

Khiops Python is a 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

• Python (>=3.8)
• Pandas (>=0.25.3)
• Scikit-Learn (>=0.22.2)

Documentation

The main documentation of the Khiops Python library is available here.

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 .