Causal Discovery Toolbox: Uncover causal relationships in Python

6 Mar 2019Diviyan KalainathanOlivier Goudet

This paper presents a new open source Python framework for causal discovery from observational data and domain background knowledge, aimed at causal graph and causal mechanism modeling. The 'cdt' package implements the end-to-end approach, recovering the direct dependencies (the skeleton of the causal graph) and the causal relationships between variables... (read more)

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