Sam-ml-py

What's Changed

- refactored code
- added documentation with sphinx and improved docstrings


**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v1.2.0...v1.3.0

What's Changed

- added custom scores
- plot only the top 45 features
- added Literal and Callable type hints
- added XGBoostRegressor
- added predict_proba function in main_model.py and main_pipeline.py
- added evaluate_score_proba and evaluate_proba
- removed sklearn<1.3 restriction
- added sphinx documentation
- updated pytests


**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v1.1.0...v1.2.0

What's Changed

- added Regressors
- restructured Pipeline class as class factory
- little changes (grid, global variables, refurb)

**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v1.0.0...v1.1.0

What's Changed

- created classifier folder
- fixed deprecated code (plt.style.use("seaborn") -> plt.style.use("seaborn-v0_8"))
- removed LR grid workaround (was fixed with newest SMAC version)

**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.13.0...v1.0.0

What's Changed

- added plotting function for tree to DTC
- changed inheritance of classifier attributes and methods in Pipeline init
- improved representation strings
- created data parent class for data.preprocessing
- removed simple_upsample from sampling.py

**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.12.0...v0.13.0

What's Changed

- added estimator__ parameters for ABC and BC
- added find_best_model_smac to CTest and also pytest for it
- added workflow checks for python 3.10 and 3.11

**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.11.0...v0.12.0