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v0.7.0

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@kbattocchi kbattocchi released this 09 Mar 14:20
3606b0b

This is a major release, with the following important changes:

  • Richer inference support, including hypothesis testing, p-values, and more when using linear models (#203)
  • New estimators supporting orthogonal approaches to IV, including DML IV and DR IV (#218)
  • Experimental support for using Azure Automated Machine Learning for model selection (#213)
  • Allows the use of bootstrap of little bags for inference with the OrthoForest (#214)
  • The CATE policy interpreter can now assign treatments to new units based on the learned policy (#228)
  • Added new Jupyter notebooks illustrating how to use the library for end-to-end scenarios (#230)
  • Several minor bugfixes (#220, #212, #223, #225, #226, #227, #232)