OCDocker.OCScore.Utils package

Submodules

• OCDocker.OCScore.Utils.Data module
  • apply_pca()
  • calculate_metrics()
  • chunkenize_dataset()
  • compute_zscore()
  • detect_extreme_outliers_iqr_columns_positive()
  • generate_mask()
  • get_column_order()
  • invert_values_conditionally()
  • load_data()
  • norm_data()
  • preprocess_df()
  • remove_extreme_outliers_iqr_columns_positive()
  • remove_other_columns()
  • reorder_columns_to_match_data_order()
  • split_dataset()
• OCDocker.OCScore.Utils.Evaluation module
  • compute_auc()
  • compute_metrics()
  • compute_rmse()
• OCDocker.OCScore.Utils.IO module
  • get_models_dir()
  • load_data()
  • load_mask()
  • load_object()
  • save_mask()
  • save_object()
• OCDocker.OCScore.Utils.Plotting module
  • plot_correlation_similarity()
  • plot_roc_curves()
• OCDocker.OCScore.Utils.SimpleConsensus module
  • perform_simple_consensus()
  • simple_consensus()
• OCDocker.OCScore.Utils.StudyParser module
  • analyze_studies()
  • analyze_studies_old()
  • parse_study_type()
• OCDocker.OCScore.Utils.Workers module
  • AEworker()
  • GAWorker()
  • NNAblationworker()
  • NNSeedAblationworker()
  • NNworker()
  • Transworker()
  • XGBworker()

Module contents

Utilities for the OCScore package.

Usage:

import OCDocker.OCScore.Utils as ocscoreutils

Modules

• Data: Data manipulation utilities.

• Evaluation: Scoring evaluation helpers.

• IO: Load/save helpers for OCScore artifacts.

• Plotting: Plotting utilities for OCScore analyses.

• SimpleConsensus: Consensus scoring helpers.

• StudyParser: Optuna study parsing utilities.

• Workers: Optuna worker helpers for optimization runs.