rerun test

logger = logging.getLogger(__name__)

def load_clearance(featurizer='ECFP', split='random', reload=True):

def load_clearance(featurizer='ECFP',

                   split='random',

                   reload=True,

                   move_mean=True):

  """Load clearance datasets."""

  # Featurize clearance dataset

  logger.info("About to featurize clearance dataset.")

  logger.info("About to load clearance dataset.")

  data_dir = deepchem.utils.get_data_dir()

  if reload:

    save_dir = os.path.join(data_dir,

                            "clearance/" + featurizer + "/" + str(split))

    if move_mean:

      dir_name = "clearance/" + featurizer + "/" + str(split)

    else:

      dir_name = "clearance/" + featurizer + "_mean_unmoved/" + str(split)

    save_dir = os.path.join(data_dir, dir_name)

  dataset_file = os.path.join(data_dir, "clearance.csv")

  if not os.path.exists(dataset_file):

  # Initialize transformers

  transformers = [

      deepchem.trans.NormalizationTransformer(

          transform_y=True, dataset=dataset)

          transform_y=True, dataset=dataset, move_mean=move_mean)

  ]

  logger.info("About to transform data")