Download
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
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow CausalNex
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of CausalNex!
