GitLab

Taking out Catboost model from SkLearnEvaluationStrategy into separate Boosting class strategy.

New features for CatBoost:

Converting data into Pool;
Fitting with eval_set, early_stopping_rounds and best_model;
Defining categoricat features for model;
Ploting features importances;
Saving/Loading model (required for implementation in Bagging method implementation to FEDOT #1005);
Updated search space.
Updates in data, preprocessing and data_split:

Storing not encoded categorical features (into OHE or LE) and using it where necessary;
Storing positions for different types of data (numeric, category and encoded);
Storing features names of dataset.