ea80e4bf2033628822e2b0f92e2e373d1b3c147b,test/test_auto_encoder.py,,test_auto_encoder_with_low_rank_random_matrix,#,7

Before Change

    print(XY_completed)
    print(missing_mask)
    diff = XY - XY_completed
    missing_mse = np.mean(diff[missing_mask] ** 2)
    missing_mae = np.mean(np.abs(diff[missing_mask]))
    print("MSE: %0.4f, MAE: %0.4f" % (missing_mse, missing_mae))
    assert missing_mae < 0.1, "Error too high!"

if __name__ == "__main__":

After Change

def test_auto_encoder_with_low_rank_random_matrix():
    XY_completed = AutoEncoder().complete(XY_incomplete)
    _, missing_mae = reconstruction_error(XY, XY_completed, missing_mask)
    assert missing_mae < 0.1, "Error too high!"

if __name__ == "__main__":

Instances