ALBERT — All Library Books, journals and Electronic Records Telegrafenberg

Hits per page

hit 1 - 1 | 1 hit

Sorting

Unknown

DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python (2022)

Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler

In: Journal of Machine Learning Research

add to mindlist on the mindlist

Details

Publication Date: 2022

Description: DoubleML is an open-source Python library implementing the double machine learning framework of Chernozhukov et al. (2018) for a variety of causal models. It contains functionalities for valid statistical inference on causal parameters when the estimation of nuisance parameters is based on machine learning methods. The object-oriented implementation of DoubleML provides a high flexibility in terms of model specifications and makes it easily extendable. The package is distributed under the MIT license and relies on core libraries from the scientific Python ecosystem: scikit-learn, numpy, pandas, scipy, statsmodels and joblib. Source code, documentation and an extensive user guide can be found at https://github.com/DoubleML/doubleml-for-py and https://docs.doubleml.org.

Print ISSN: 1532-4435

Electronic ISSN: 1533-7928

Topics: Computer Science

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

PAPER CURRENT

S·F·X

Fulltext

hit 1 - 1 | 1 hit