Bug fixes - 258 Fix cant load automl when adjusted validation is used
0.7.10
Enhancements - 250 New strategies for categorical encoding - 257 Control algorithm order in not-so-random step
Bug fixes - 255 Fix overwrite in adjusted models
0.7.9
Enhancements - 249 Adjust validation type in `Compete` mode
0.7.8
Enhancements - 249 Adjust validation type based on data - 251 add more eval_metrics in regression - 252 add traceback to error reports
Bug fixes - 253 Fix error when text data has missing values in test fold
0.7.7
Enhancements - 73 Optimize AUC
Bug fixes - 136 RMSE in Extra Trees and Random Forest - 243 Switch off Xgboost and CatBoost for multiclass with many classes (in extreme switch of Extra Trees and Random Forest) - 245 Fix ordering of prediction columns
0.7.6
Enhancements - 240 Change algorithm execution order for default algorithms
Bug fixes: - 236 Wrong labels for target predictions in the case of -1, 1 target - 238 Object of type float32 is not JSON serializable - 239 Value Error: Input contains NaN in numpy training array