- Initial release
- Development at [https://github.com/DoubleML/doubleml-for-py](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)](https://doi.org/10.1111/ectj.12097)).
- 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.