Multiclass Classification Metrics

caliber.multiclass_classification.metrics.asce.average_squared_calibration_error(targets, probs, n_bins=10, min_prob_bin=0.0)[source]
Return type:

float

caliber.multiclass_classification.metrics.ece.expected_calibration_error(targets, probs, n_bins=10, min_prob_bin=0.0)[source]
Return type:

float

caliber.multiclass_classification.metrics.brier_score.brier_score_loss(targets, probs)[source]
Return type:

ndarray

caliber.multiclass_classification.metrics.focal_loss.focal_loss(targets, probs, gamma=2.0)[source]
Return type:

float

caliber.multiclass_classification.metrics.log_loss.log_loss(targets, probs)[source]
Return type:

ndarray