Sam-ml-py

What's Changed

- workaround for models that did not work with smac_search (because of Normal distribution or Classifier in grid)
- updated documentation
- added log level as parameter to smac_search
- improved GitHub workflow (testing on different OS and also first pytest)

**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.7.1...v0.7.2

- little change in feature_importance method from main_classifier.py

**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.7.0...v0.7.1

What's Changed

- added smac_search to main_classifier.py
- added leave_loadbar parameter to CTest.find_best_model_randomCV
- added evaluate_score function to main_classifier.py
- added function get_deepcopy to main_model.py
- updated notebooks
- updated hyperparameter grids
- updated gitignore, docstrings, comments, type hints
- cleaned code


**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.6.0...v0.7.0

What's Changed
changes in randomCVsearch:

- interrupt handling
- small_data cv
- fixed dtypes in best_hyperparameters

changes in model grids

- added dafault values
- little improvements

added find_best_model_randomCV to CTest class


**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.5.0...v0.6.0

What's Changed

- updated grids with ConfigSpace grids
- added randomCVsearch with new grids
- commented out not updated functions
- added xgboostclassifier
- updated base_estimator -> estimator (deprecated code)

--> this version is just a quick solution

**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.4.2...v0.5.0

What's Changed
- cleaned code
- added python version to readme


**Full Changelog**: https://github.com/Priapos1004/SAM_ML/compare/v0.4.1...v0.4.2