- datasets subpackage
- Overview
- loading_context module
- loading_strategies module
- manager module
DatasetsManager
DatasetsManager.combine()
DatasetsManager.get_column_labels()
DatasetsManager.get_dataset_by_type()
DatasetsManager.get_info()
DatasetsManager.reset()
DatasetsManager.reset_datasets()
DatasetsManager.save_dataset_to_csv()
DatasetsManager.set_column_labels()
DatasetsManager.set_from_data()
DatasetsManager.set_from_file()
DatasetsManager.summarize()
- masked module
MaskedDataset
MaskedDataset.clone()
MaskedDataset.combine()
MaskedDataset.get_confidence_scores()
MaskedDataset.get_file_path()
MaskedDataset.get_info()
MaskedDataset.get_observations()
MaskedDataset.get_pseudo_labels()
MaskedDataset.get_pseudo_probabilities()
MaskedDataset.get_sample_counts()
MaskedDataset.get_true_labels()
MaskedDataset.refine()
MaskedDataset.reset_indices()
MaskedDataset.sample_random()
MaskedDataset.sample_uniform()
MaskedDataset.save_to_csv()
MaskedDataset.set_confidence_scores()
MaskedDataset.set_file_path()
MaskedDataset.set_pseudo_labels()
MaskedDataset.set_pseudo_probs_labels()
MaskedDataset.summarize()
MaskedDataset.to_dataframe()
- models subpackage
- Overview
- factories module
- abstract_models module
ClassificationModel
Model
Model.model
Model.model_class
Model.params
Model.data_preparation_strategy
Model.pickled_model
Model.evaluate()
Model.get_data_strategy()
Model.get_info()
Model.get_model()
Model.get_model_type()
Model.get_params()
Model.get_path()
Model.is_pickled()
Model.print_evaluation_results()
Model.save()
Model.set_data_strategy()
Model.set_file_path()
Model.set_model()
Model.set_params()
Model.update_params()
Model.validate_params()
RegressionModel
- concrete_classifiers module
- concrete_regressors module
- abstract_metrics module
- classification_metrics module
ClassificationEvaluationMetrics
ClassificationEvaluationMetrics.accuracy()
ClassificationEvaluationMetrics.average_precision()
ClassificationEvaluationMetrics.balanced_accuracy()
ClassificationEvaluationMetrics.f1_score()
ClassificationEvaluationMetrics.get_metric()
ClassificationEvaluationMetrics.log_loss()
ClassificationEvaluationMetrics.matthews_corrcoef()
ClassificationEvaluationMetrics.npv()
ClassificationEvaluationMetrics.ppv()
ClassificationEvaluationMetrics.precision()
ClassificationEvaluationMetrics.recall()
ClassificationEvaluationMetrics.roc_auc()
ClassificationEvaluationMetrics.sensitivity()
ClassificationEvaluationMetrics.specificity()
ClassificationEvaluationMetrics.supported_metrics()
- regression_metrics module
- data_strategies module
- base module
- detectron subpackage
- Overview
- ensemble module
- record module
DetectronRecord
DetectronRecordsManager
DetectronRecordsManager.count_quantile()
DetectronRecordsManager.counts()
DetectronRecordsManager.freeze()
DetectronRecordsManager.get_evaluation()
DetectronRecordsManager.get_record()
DetectronRecordsManager.load()
DetectronRecordsManager.predicted_probabilities()
DetectronRecordsManager.rejected_count_quantile()
DetectronRecordsManager.rejected_counts()
DetectronRecordsManager.rejection_rates()
DetectronRecordsManager.save()
DetectronRecordsManager.seed()
DetectronRecordsManager.set_evaluation()
DetectronRecordsManager.update()
- stopper module
- strategies module
- experiment module
- comparaison module
- med3pa subpackage
- Overview
- uncertainty module
- models module
APCModel
IPCModel
IPCModel.default_params
IPCModel.evaluate()
IPCModel.get_info()
IPCModel.load_model()
IPCModel.optimize()
IPCModel.predict()
IPCModel.save_model()
IPCModel.supported_ipc_models()
IPCModel.supported_models_params()
IPCModel.supported_regressors_mapping
IPCModel.supported_regressos_params
IPCModel.train()
IPCModel.underlying_models_mapping
MPCModel
- tree module
- Profiles module
- MDR module
- experiment module
- compraison module
Med3paComparison
Med3paComparison.compare_config()
Med3paComparison.compare_experiments()
Med3paComparison.compare_global_metrics()
Med3paComparison.compare_models_evaluation()
Med3paComparison.compare_profiles_detectron_results()
Med3paComparison.compare_profiles_metrics()
Med3paComparison.identify_shared_profiles()
Med3paComparison.is_comparable()
Med3paComparison.save()