aa7322f6057dce6424af3f2245e4c45bd33af05e,scripts/speaker_embedding.py,,speaker_recognition_xp,#Any#Any#Any#Any#Any#,278

Before Change

    y_pred = []
    key_mapping = {0: None, -1: 0, 1: 1}
    for i, _ in enumerate(keys.index):
        for j, _ in enumerate(keys):
            y = key_mapping[keys.iloc[i, j]]
            if y is None:
                continue

            y_true.append(y)
            y_pred.append(D[i, j])

    y_true = np.array(y_true)
    y_pred = np.array(y_pred)

    return det_curve(y_true, y_pred, distances=True)

After Change

    y_pred = []

    positive = D[np.where(keys == 1)]
    negative = D[np.where(keys == -1)]
    // untested = D[np.where(keys == 0)]
    y_pred = np.hstack([positive, negative])

    n_positive = positive.shape[0]
    n_negative = negative.shape[0]
    // n_untested = untested.shape[0]
    y_true = np.hstack([np.ones(n_positive,), np.zeros(n_negative)])

    return det_curve(y_true, y_pred, distances=True)

Instances