- removed dependency to
causalml
thus x- and t- learner were removed - removed dependency to
rpy
thus CausalForest method was removed - removed dependency to
tensorflow
thus ganite and dragonnet were removed - added missing
requests
library in dependencies
- some fixes in usage documentation
- fixed persistent "future annotation"-bug that prevent importing justcause on Python 3.6
generate_data
handles now CausaFrames as covariates correctly
- bugfixes in data generator based on IHDP (wrong covariate was used)
- bugfix in evaluation (train/test results were in fact the same)
- Support for lower Python versions (type annotations as used in JustCause were only available for Python >=3.7)
- data sets and generators now return a list of CausalFrames instead of iterators
- treatment column is always
t
and outcome column alwaysy
- improved and extended documentation
- Complete overhaul of everything that was done before in order to have:
- a distributable Python package
- unit tests
- a consistent API
- some documentation
- and much more ;-)
- Reflecting the state of the finished bachelor thesis