CausalML
JSON →CausalML is a Python package for uplift modeling and causal inference with machine learning algorithms. It provides a variety of methods for causal inference in both experimental and observational settings, including meta-learners (S-Learner, T-Learner, X-Learner, R-Learner), tree-based methods (Causal Forest, Uplift Random Forest), and deep learning models. Current version: 0.16.0. Release cadence: irregular, with major updates approximately annually.
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