V0.6.0

1. Support data loading by Spark
2. Support H2O model registration
3. Support data-dependent model interpretation and explanation
4. Add Friedman’s H-statistic to post hoc explanation
5. Add data integrity check and more outlier detection methods
6. Add log loss and Brier score to binary classification metrics
7. Add segmented performance diagnostics
8. Add hyperparameter tuning by grid and randomized search
9. Pipeline optimization, code cleanup, and bug fixes