autointent.metrics.decision

Prediction metrics for multiclass and multilabel classification tasks.

Attributes

logger

Classes

DecisionMetricFn

Protocol for decision metrics.

Functions

decision_accuracy(y_true, y_pred)	Calculate decision accuracy. Supports both multiclass and multilabel.
decision_roc_auc(y_true, y_pred)	Calculate ROC AUC for multiclass and multilabel classification.
decision_precision(y_true, y_pred)	Calculate decision precision. Supports both multiclass and multilabel.
decision_recall(y_true, y_pred)	Calculate decision recall. Supports both multiclass and multilabel.
decision_f1(y_true, y_pred)	Calculate decision f1 score. Supports both multiclass and multilabel.

Module Contents

autointent.metrics.decision.logger