44a67ccafb42ff7e2fef248aa8cc040c05846e5f,pyAudioAnalysis/audioTrainTest.py,,model_precision_recall_curve,#Any#Any#Any#,918

Before Change

        return -1, -1, -1

    if model_type == "knn":
        classifier, mean, std, classes, mid_window, mid_step, short_window, \
            short_step, compute_beat = load_model_knn(model_name)
    else:
        classifier, mean, std, classes, mid_window, mid_step, short_window, \

After Change

    for i in range(len(fpr)):
        print(fpr[i], tpr[i])

    return thr_prre, pre, rec, thr_roc, fpr, tpr


def file_classification(input_file, model_name, model_type):
    // Load classifier:

Instances