CausalNex

CausalNex is a Python library that uses Bayesian Networks to combine machine learning and domain expertise for causal reasoning. You can use CausalNex to uncover structural relationships in your data, learn complex distributions, and observe the effect of potential interventions.

Features

Deploys state-of-the-art structure learning method, DAG with NO TEARS, to understand conditional dependencies between variables
Allows domain knowledge to augment model relationships
Builds predictive models based on structural relationships
Understands model probability
Evaluates model quality with standard statistical checks
Visualisation which simplifies how causality is understood
Analyses the impact of interventions using Do-calculus

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-09

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