v0.0.11

Changes

General

• Added bayesopt and bayesopt_hyperband schedulers (#501, #507)
• Updated minimum sklearn version from 0.20 to 0.22 (#521)

Tabular

• Optimized memory utilization for text features (#513)
• Optimized memory utilization for tabular neural network (#518)
• Optimized training speed of LightGBM by ~100%-200% on most datasets (#511)
• Optimized training speed of CatBoost by ~100% on regression datasets (#514)
• Added return_original_features argument to transform_features, plus bug fixes (#517)
• Improved tabular neural network training stability on log loss metric (#481)
• Numerous fixes and code cleanup (#510, #502, #505, #516)