torchtraining.functional.metrics.classification.multiclass module

torchtraining.functional.metrics.classification.multiclass.accuracy(output: torch.Tensor, target: torch.Tensor, reduction: Callable[torch.Tensor, torch.Tensor] = <built-in method mean of type object>) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.Accuracy for details.

torchtraining.functional.metrics.classification.multiclass.balanced_accuracy(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.BalancedAccuracy for details.

torchtraining.functional.metrics.classification.multiclass.confusion_matrix(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.ConfusionMatrix for details.

torchtraining.functional.metrics.classification.multiclass.critical_success_index(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.CriticalSuccessIndex for details.

torchtraining.functional.metrics.classification.multiclass.f1(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.F1 for details.

torchtraining.functional.metrics.classification.multiclass.f_beta(output: torch.Tensor, target: torch.Tensor, beta: float) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.FBeta for details.

torchtraining.functional.metrics.classification.multiclass.false_discovery_rate(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.FalseDiscoveryRate for details.

torchtraining.functional.metrics.classification.multiclass.false_negative(output: torch.Tensor, target: torch.Tensor, reduction: Callable[torch.Tensor, torch.Tensor] = <built-in method sum of type object>) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.FalseNegative for details.

torchtraining.functional.metrics.classification.multiclass.false_negative_rate(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.FalseNegativeRate for details.

torchtraining.functional.metrics.classification.multiclass.false_omission_rate(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.FalseOmissionRate for details.

torchtraining.functional.metrics.classification.multiclass.false_positive(output: torch.Tensor, target: torch.Tensor, reduction: Callable[torch.Tensor, torch.Tensor] = <built-in method sum of type object>) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.FalsePositive for details.

torchtraining.functional.metrics.classification.multiclass.false_positive_rate(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.FalsePositiveRate for details.

torchtraining.functional.metrics.classification.multiclass.jaccard(output: torch.Tensor, target: torch.Tensor, reduction: Callable[torch.Tensor, torch.Tensor] = <built-in method mean of type object>) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.Jaccard for details.

torchtraining.functional.metrics.classification.multiclass.matthews_correlation_coefficient(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.MatthewsCorrelationCoefficient for details.

torchtraining.functional.metrics.classification.multiclass.negative_predictive_value(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.NegativePredictiveValue for details.

torchtraining.functional.metrics.classification.multiclass.precision(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.Precision for details.

torchtraining.functional.metrics.classification.multiclass.recall(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.Recall for details.

torchtraining.functional.metrics.classification.multiclass.specificity(output: torch.Tensor, target: torch.Tensor) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.Specificity for details.

torchtraining.functional.metrics.classification.multiclass.topk(output: torch.Tensor, target: torch.Tensor, k: int, reduction: Callable[torch.Tensor, torch.Tensor] = <built-in method mean of type object>) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.Topk for details.

torchtraining.functional.metrics.classification.multiclass.true_negative(output: torch.Tensor, target: torch.Tensor, reduction: Callable[torch.Tensor, torch.Tensor] = <built-in method sum of type object>) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.TrueNegative for details.

torchtraining.functional.metrics.classification.multiclass.true_positive(output: torch.Tensor, target: torch.Tensor, reduction: Callable[torch.Tensor, torch.Tensor] = <built-in method sum of type object>) → torch.Tensor

See torchtrainingnal.metrics.classification.multiclass.TruePositive for details.