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CPDAG Estimation using PC-Algorithm

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

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


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Filename, size & hash SHA256 hash help File type Python version Upload date
pcalg-0.1.6.tar.gz (5.0 kB) Copy SHA256 hash SHA256 Source None Dec 11, 2017

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