[2019/08/14]
CausalLift version 1.0.0 adopted Kedro to add the following new
features.
- [Parallel execution] Train the 2 models in parallel
- [File management] Save and load intermediate files such as the trained models
- [Documentation] Generate the API document by Sphinx and visualize the process flow
Other enhancements include:
- [Logging] Show and/or log processing status such as timestamp and the running task
- [Model options] Specify models other than XGBoost and Logistic Regression for uplift
modeling and propensity modeling, respectively.