* added backend option in orf, adding verbosity, restructuring static functions
* added cython grf module that implements generalized random forests
* added cuthon version of causal forest and causal forest dml
* deprecating older CausalForest
* updates to CF and ORF notebook
* restructured dml into folder. Deprecated ForestDML by CausalForestDML.
* Removed two legacy files in our main folder.
* deprecating ensemble.SubsampledHonestForest
* made drlearner use the non dprecated regression forest.
* Enable setuptools build process
* fixed flaky random_state test
* fixed tests and api consistency
* updated tables and library flow chart
* enforce sklearn 0.24.
* fixed _cross_val_predict
* added option for max background samples to shap make computation more reasonable
* fixed error_score param in gcvlist due to sklearn upgrade
* added shap cells in DML notebook
* added shap values to GRF notebook
* fixed bug in the way input_feature_names where used in summary. enabled shap to use input featurenames
* updated readme. removed autoreload from noteoboks
* added shap specific notebook
* updated dowhy notebook