V1.1.0 #16
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V1.1.0 #16
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* Security: switched `os.mkdir` for `os.makedirs` * Fixed: copy-paste corrections * Fixed: redundant set casting * Changed: cleaned up docstring comment * Version bump * Removed config jsons that do not have paired data files * Changed: removed copyright notices from example json and data * Changed: Readme updated
* Post-release patches (#1) (#2) (#3) * Security: switched `os.mkdir` for `os.makedirs` * Fixed: copy-paste corrections * Fixed: redundant set casting * Changed: cleaned up docstring comment * Version bump * Removed config jsons that do not have paired data files * Changed: removed copyright notices from example json and data * Changed: Readme updated * Removed: `auto-sklearn`. Completes first task of Removal of Auto-sklearn #4 * Changed: upgraded scikit-learn to `1.2.2`. completes last task for Removal of Auto-sklearn #4 * removed `auto-sklearn` from result files * Changed: config_manual
* Changed: moved dev packages to `requirements_dev.txt` * Changed: upgraded `tensorflow` and `keras` to be able to create env on arm64 * Changed: `DEV_MANUAL.md` to capture venv changes
* Added: pydantic to env * Added: created initial pydantic dataModel * Added: PredictionModel * Changed: DataModel testing pattern * Added: PlottingModel * Added TabularModel * Added: MetabolomicModel * Added: GeneExpression Model * Added: MicrobiomeModel * Added: probtype val to PlottingModel * Changed: venv instruction update * Changed: updated requirments.txt * Added: FeatureSelectionModel, AutoModel & MethodModel * Added: AutoKerasModel * Added: AutoLgbmModel * Added: AutoXgboostModel * Linting * Bugfix: PlottingModel * Added: MlModel * Fixed: MlModel * Fixed: PlottingModel * Added: ConfigModel
* Added: new flag to skip ML standardizing in MlModel * Added: created `load_transformed_data` from pre-existing code * Added: more typehinting * Changed: simplified `load_data` * Changed: extracted `save_transformed_data` from pre-existing code * Added: type hinting * Added: new option `DataModel.data_type` `"R2G"` for datasets are Ready to Go to be trained on Pt1 * Changed: extracted out ml preprocessing into function `learn_ml_preprocessing` and `apply_ml_preprocessing` * Changed: type hints & logging * - Added: new option `DataModel.data_type` `"R2G"` for datasets are Ready to Go to be trained on Pt2 * Fixes * Changed: import clean up * Fixed: depreciation warnings * Fixes * Fixes * Extended Test suite * Fixes * Added: Config duplication * Changed: batch processing * Changed: config duplication * Changed: readme & config manual updates * Changed: updated config
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Development of new features include:
covers #14 #11 #6 #5 #4