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conda-forge.org : causalml
<a href="https://github.com/uber/causalml"> <img src="https://raw.githubusercontent.com/uber/causalml/master/docs/_static/img/logo/causalml_logo.png" alt="CausalML banner" /> </a> ``Causal ML`` is a Python package that provides a suite of uplift modeling and causal inference methods using machine learning algorithms based on recent research. It provides a standard interface that allows user to estimate the **Conditional Average Treatment Effect** (CATE) or **Individual Treatment Effect** (ITE) from experimental or observational data. Essentially, it estimates the causal impact of intervention **T** on outcome **Y** for users with observed features **X**, without strong assumptions on the model form. PyPI: [(https://pypi.org/project/causalml/]((https://pypi.org/project/causalml/)
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purl: pkg:conda/causalml
Keywords: causal-inference, incubation, machine-learning, uplift-modeling
License: Apache-2.0
Latest release: about 2 years ago
First release: about 2 years ago
Dependent repositories: 1
Stars: 3,867 on GitHub
Forks: 622 on GitHub
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Last synced: 16 days ago