Python library for causal inference. Supports causal discovery, identification, effect estimation, prediction, and simulation with a scikit-learn style API.
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Updated
Aug 31, 2025 - Python
Python library for causal inference. Supports causal discovery, identification, effect estimation, prediction, and simulation with a scikit-learn style API.
Tutorials on Causal Inference and pgmpy
Mechanism-learn is a simple method to deconfound observational data such that any appropriate machine learning model is forced to learn predictive relationships between effects and their causes, despite the potential presence of multiple unknown and unmeasured confounding. The library is compatible with most existing ML deployments.
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