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econml

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This package contains several methods for calculating Conditional Average Treatment Effects

Installation

To install this package, run one of the following:

Conda
$conda install sfe1ed40::econml

Usage Tracking

0.15.0
1 / 8 versions selected
Downloads (Last 6 months): 0

Description

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.

About

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

linux-64
win-64
linux-aarch64