Welcome to mlcpl’s API documentation!¶
Contents¶
- Loss Functions
PartialNegativeBCEWithLogitLoss()PartialBCEWithLogitLoss()PartialSelectiveBCEWithLogitLoss()PartialNegativeFocalWithLogitLoss()PartialFocalWithLogitLoss()PartialSelectiveFocalWithLogitLoss()PartialAsymmetricWithLogitLoss()PartialSelectiveAsymmetricWithLogitLoss()LargeLossRejection()LargeLossCorrectionTemporary()PartialStrictlyProperAsymmetricWithLogitLoss()
- Metrics
partial_multilabel_average_precision()partial_multilabel_auroc()partial_multilabel_fbeta_score()partial_multilabel_f1_score()partial_multilabel_precision()partial_multilabel_recall()partial_multilabel_sensitivity()partial_multilabel_specificity()partial_multilabel_precision_at_fixed_recall()partial_multilabel_recall_at_fixed_precision()partial_multilabel_sensitivity_at_specificity()partial_multilabel_specificity_at_sensitivity()partial_multilabel_roc()partial_multilabel_precision_recall_curve()partial_multilabel_accuracy()partial_multilabel_calibration_error()partial_multilabel_expected_calibration_error()partial_multilabel_average_calibration_error()partial_multilabel_maximum_calibration_error()partial_multilabel_cohen_kappa()partial_multilabel_confusion_matrix()partial_multilabel_dice()partial_multilabel_exact_match()partial_multilabel_hamming_distance()partial_multilabel_hinge_loss()partial_multilabel_jaccard_index()partial_multilabel_ranking_average_precision()partial_multilabel_ranking_loss()partial_multilabel_matthews_corrcoef()
- Datasets
- Data Augmentations
- Pseudo Labeling