Source code for brew.metrics.evaluation

import sklearn

[docs]def auc_score(y_true, y_pred, positive_label=1): fp_rate, tp_rate, thresholds = sklearn.metrics.roc_curve( y_true, y_pred, pos_label=positive_label) return sklearn.metrics.auc(fp_rate, tp_rate)