DoubleML 0.1.1

• Bug fix in the drawing of bootstrap weights for the multiple treatment case #66 (see also DoubleML/doubleml-for-r#28)
• Update install instructions as DoubleML is now listed on pypi
• Prepare submission to conda-forge: Include LICENSE file in source distribution
• Documentation is now served with HTTPS https://docs.doubleml.org

DoubleML 0.1.0

• Initial release
• Development at https://github.com/DoubleML/doubleml-for-py
• The Python package DoubleML provides an implementation of the double / debiased machine learning framework of Chernozhukov et al. (2018)).
• Implements double machine learning for four different models:
  • Partially linear regression models (PLR) in class DoubleMLPLR
  • Partially linear IV regression models (PLIV) in class DoubleMLPLIV
  • Interactive regression models (IRM) in class DoubleMLIRM
  • Interactive IV regression models (IIVM) in class DoubleMLIIVM
• All model classes are inherited from an abstract base class DoubleML where the key elements of double machine learning are implemented.

DoubleML 0.0.3

create another test pre-release to test the github actions integrations

DoubleML 0.0.2

Merge branch 'master' of github.com:DoubleML/doubleml-for-py into 0.0.X

DoubleML 0.0.1

Merge branch 'master' of github.com:DoubleML/doubleml-for-py into 0.0.X