label_evaluation.accuracy_classifier

Functions

cm(target, pred, gt[, out_dir, title])	Compute confusion matrix to evaluate the performance of the classification.
metrics(target, pred, gt[, out_dir])	Build a text report showing the main classification metrics, to measure the quality of predictions of the classification model, and save it to a text file.