Classification Metrics ====================== Standard classification metrics for evaluating models that output class probabilities. All functions are registered in ``classification_metric_registry`` at import time via :func:`@register_classification_metric `, which also enforces that ``probs`` is 2-D and that batch sizes match before delegating to the metric function. Included metrics: accuracy, F1 (macro), precision (macro), recall (macro), and AUC-ROC (binary one-class probability; multiclass one-vs-rest). .. automodule:: alf_core.utils.metrics.classification :members: :show-inheritance: :undoc-members: