fix for failure

    assert scores[classification_metric.name] < .2

  def test_DTNN_multitask_regression_overfit(self):

    """Test graph-conv multitask overfits tiny data."""

    """Test deep tensor neural net overfits tiny data."""

    np.random.seed(123)

    tf.set_random_seed(123)

    g = tf.Graph()

    w = np.ones_like(y)

    dataset = dc.data.DiskDataset.from_numpy(X, y, w, ids=None)

    regression_metric = dc.metrics.Metric(

        dc.metrics.r2_score,

        task_averager=np.mean)

        dc.metrics.r2_score, task_averager=np.mean)

    n_tasks = y.shape[1]

    n_feat = list(dataset.get_data_shape())

    batch_size = 10