Treffer: DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python.

Title:
DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python.
Authors:
Bach, Philipp1 PHILIPP.BACH@UNI-HAMBURG.DE, Chernozhukov, Victor2 VCHERN@MIT.EDU, Kurz, Malte S.1 MALTE.SIMON.KURZ@UNI-HAMBURG.DE, Spindler, Martin1 MARTIN.SPINDLER@UNI-HAMBURG.DE
Source:
Journal of Machine Learning Research. 2022, Vol. 23, p1-6. 6p.
Database:
Business Source Premier

Weitere Informationen

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. [ABSTRACT FROM AUTHOR]

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