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Pytrad Python Package

Project description

Pytrad: Causal Discovery for Python

Pytrad is an open-source causal discovery library for Python, which is a Python translation and extension of Tetrad.

The package is on its very first version and we are actively developing it. Pleae, as a beta user, if you are willing, would you please kindly share any feedbacks (issues, suggestions, etc.) about it with us?

Package Overview

Our Pytrad implements methods for causal discovery:

  • Constraint-based Methods.
  • Score-based Methods.
  • Methods based on Functional Causal Models.
  • Hidden causal representation learning.
  • Multiple utilities for building your own method, such as independence tests, score functions, graph operations, and evaluations.

Install

Pytrad needs the following packages to be installed beforehand:

  • python 3
  • numpy
  • networkx
  • pandas
  • scipy
  • scikit-learn
  • statsmodels
  • pydot

(For visualization)

  • matplotlib
  • graphviz
  • pygraphviz (might not support the most recent Mac)

To use Pytrad, we could install it using pip:

pip install pytrad

Documentation

Please kindly refer to Pytrad Doc for detailed tutorials and usages.

Project details


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