DoWhy
JSON →DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions, following a four-step framework: Model, Identify, Estimate, and Refute. It aims to bridge econometric and machine learning approaches to causality. The current version is 0.14, and it sees regular releases, typically every few months, incorporating new features, estimators, and compatibility updates.
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Resources
packagepypi.org/project/dowhy/ ↗
API endpoints
full doc /v1/registry/dowhy
install /v1/registry/dowhy/install
compatibility /v1/registry/dowhy/compatibility