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