Loosening regression to make tests more stable.

    evaluator = Evaluator(model, dataset, transformers, verbosity=verbosity)

    scores = evaluator.compute_model_performance([regression_metric])

    assert scores[regression_metric.name] < .15

    assert scores[regression_metric.name] < .2

  def test_graph_conv_singletask_classification_overfit(self):

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

import deepchem as dc

from keras import backend as K

from tox21_datasets import load_tox21_convmol

#from deepchem.models.tf_keras_models.graph_models import SequentialGraphModel

#from deepchem.models.tf_keras_models.multitask_classifier import MultitaskGraphClassifier

# Only for debug!

np.random.seed(123)