This release further improves package stability and comprehensiveness.
A set of new models are added:
- LSCP: Locally Selective Combination of Parallel Outlier Ensembles
- XGBOD: Extreme Boosting Based Outlier Detection (Supervised)
- SO_GAAL: Single-Objective Generative Adversarial Active Learning
- MO_GAAL: Multiple-Objective Generative Adversarial Active Learning
Bug fixes are also included, e.g., CBLOF.
Last but not least, a few functions/models are redesigned/optimized:
- Docstring is refactored to numpydoc
- LOCI is optimized with numba
- visualize function is redesigned