pcalg

CPDAG Estimation using PC-Algorithm

These details have not been verified by PyPI

Project description

Overview

This package provides functions to estimate a skeleton graph and a completed partially acyclic graph (CPDAG) from a data matrix that describes the appearance patterns of the graph nodes. The detailed algorithm is written in [Kalisch2007].

Code

The source code is available at https://github.com/keiichishima/pcalg

Bug Reports

Please submit bug reports or patches through the GitHub interface.

Contributors

Satoru Kobayashi, https://github.com/cpflat

References

[Kalisch2007] Markus Kalisch and Peter Bhlmann. Estimating high-dimensional directed acyclic graphs with the pc-algorithm. In The Journal of Machine Learning Research, Vol. 8, pp. 613-636, 2007.

Author

Keiichi SHIMA / IIJ Innovation Institute Inc. / WIDE project

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

0.2.2

Apr 18, 2022

0.2.0

Jun 14, 2021

0.1.9

Feb 5, 2019

0.1.8

Jan 8, 2019

0.1.7

Sep 10, 2018

This version

0.1.6

Dec 11, 2017

0.1.5

Mar 6, 2017

0.1.4

Aug 24, 2015

0.1.3

Jun 25, 2015

0.1.2

Jun 24, 2015

0.1.1

Jun 23, 2015

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pcalg-0.1.6.tar.gz (5.0 kB view details)

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