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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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Categories
Machine LearningLicense
MIT LicenseFollow CausalNex
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