Release Refactoring and feature additions · rvandewater/YAIB

New Features

Polars backend for preprocessing (significantly faster preprocessing)
Modality selection (for doing experiments that need to show modality contributions)
Optuna optimization with visualization and checkpointing
Options to use SHAP or other explainers (improved support pending)
Introduced configuration settings for multiple classifiers including Balanced Random Forest, CatBoost, XGBoost, and RUSBClassifier.
Refactored RNN, GRU, TCN, and Transformer.
Enhanced capabilities for binary classification, regression, and dataset imputation tasks.
Added new configuration for benchmarking experiments.
Enhanced error handling in cross-validation processes.

Chores

What's Changed

Requirements and setup update by @rvandewater in #120
reformat by @rvandewater in #121
Pypi readme fixes by @rvandewater in #122
Recipies update by @rvandewater in #124
Dataset fix and small setup/readme adjustments by @rvandewater in #126
Use correct (?) scaling in DefaultRegressionPreprocessor by @mlondschien in #127
Fix commands flags by @HendrikSchmidt in #133
logging fix by @rvandewater in #134
Added metrics by @rvandewater in #135
Fix regular ML model training by @rvandewater in #132
comment in on_test_epoch_start by @rvandewater in #137
By default, use quicker versions of nafill recently added to ReciPys by @prockenschaub in #139
Pooled experiments by @rvandewater in #140
Transfer learning by @rvandewater in #136
Rename kf to kidney_function by @prockenschaub in #145
Hyperparameter opt by @rvandewater in #147
Bump pyarrow from 11.0.0 to 14.0.1 by @dependabot in #148
Bump scikit-learn from 1.2.2 to 1.5.0 by @dependabot in #149
Bump black from 24.2.0 to 24.3.0 by @dependabot in #150
Bump tqdm from 4.64.1 to 4.66.3 by @dependabot in #151
Polars by @rvandewater in #152
Bump lightning from 2.3.0 to 2.3.3 by @dependabot in #156
Version release based on practice Cassandra use by @rvandewater in #155

Full Changelog: v0.3.0...v1.0.0