Boosting method implementation (Catboost)

[aPovidlo]

First step in global boosting methods refactoring.
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.

Results:
OLD VERSION - {'Scoring': 0.5548, 'Flight': 0.5613}
NEW VERSION - {'Scoring': 0.5821, 'Flight': 0.5806}

[aim-pep8-bot]

Hello @aPovidlo! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2023-09-19 10:43:26 UTC

[codecov]

Codecov Report

Merging #1155 (9865e34) into master (a5a9b17) will decrease coverage by 0.09%.
The diff coverage is 72.72%.

@@            Coverage Diff             @@
##           master    #1155      +/-   ##
==========================================
- Coverage   79.54%   79.45%   -0.09%     
==========================================
  Files         142      144       +2     
  Lines        9805     9954     +149     
==========================================
+ Hits         7799     7909     +110     
- Misses       2006     2045      +39     

Files	Coverage Δ
fedot/api/api_utils/presets.py	87.50% <100.00%> (ø)
fedot/core/data/data_preprocessing.py	93.50% <100.00%> (+0.26%)	⬆️
fedot/core/data/data_split.py	94.73% <ø> (ø)
...ore/operations/evaluation/evaluation_interfaces.py	86.48% <ø> (-0.13%)	⬇️
...mentations/data_operations/categorical_encoders.py	98.07% <100.00%> (+0.07%)	⬆️
fedot/preprocessing/preprocessing.py	97.00% <100.00%> (+0.01%)	⬆️
fedot/core/data/visualisation.py	15.49% <0.00%> (ø)
fedot/core/operations/evaluation/boostings.py	76.31% <76.31%> (ø)
fedot/core/data/data.py	70.46% <65.85%> (-0.82%)	⬇️
...mplementations/models/boostings_implementations.py	72.30% <72.30%> (ø)

... and 2 files with indirect coverage changes