Features
- Feature importances changed to use permutation instead of built-in for better estimates.
Bugfixes
- .train_estimator will now reset the result attribute to None, in order to
prevent users from mistakenly assuming the result is from the training
- Fixed bug in lift_score when using dataframes
- Fixed bug when training model and then scoring model
- Fixed bug where users could not save models if no result had been created, as would
happen if the user only called .train_estimator before saving.
- Default_metric is now the same metric as the one specified for the model in .config
- Each class inheriting from ModelData has an individual config
- Changed get_scorer_func to wrap sklearn's get_scorer
- Fixed bug when gridsearching twice