Results for “input-metrics”
7 skills
qhjqhj00 recall
Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.
3
qhjqhj00 eer
Compute the Equal Error Rate (EER) metric using torchmetrics for binary, multiclass, or multilabel classification tasks, with reference signatures and usage examples.
3
qhjqhj00 auroc
Computes the AUROC metric using torchmetrics, handling binary, multiclass, and multilabel tasks with configurable thresholds and averaging.
3
qhjqhj00 logauc
Computes the LogAUC metric using the torchmetrics implementation for binary, multiclass, or multilabel classification tasks.
3
qhjqhj00 f1score
Compute the F1Score metric using torchmetrics when predictions and ground-truth labels are available.
3
qhjqhj00 roc
Computes the Receiver Operating Characteristic (ROC) metric using torchmetrics, supporting binary, multiclass, and multilabel tasks.
3
qhjqhj00 squad
Computes the SQuAD metric using torchmetrics, given predictions and ground truth. Use when evaluating question-answering outputs with exact match and F1 scores.
3