econml
This package contains several methods for calculating Conditional Average Treatment Effects
This package contains several methods for calculating Conditional Average Treatment Effects
To install this package, run one of the following:
EconML is a Python package for estimating heterogeneous treatment effects from observational data via machine learning. This package was designed and built as part of the ALICE project at Microsoft Research with the goal to combine state-of-the-art machine learning techniques with econometrics to bring automation to complex causal inference problems.
Summary
This package contains several methods for calculating Conditional Average Treatment Effects
Last Updated
Apr 8, 2024 at 19:42
License
MIT AND BSD-3-Clause
Total Downloads
14.6K
Supported Platforms
GitHub Repository
https://github.com/Microsoft/EconMLDocumentation
https://github.com/Microsoft/EconML