Some more dataset loading fixes

      verbosity="low")

  return loader.featurize(input_file)

def load_classification_data(self):

def load_classification_data():

  """Loads classification data from example.csv"""

  current_dir = os.path.dirname(os.path.abspath(__file__))

  featurizer = dc.featurizers.CircularFingerprint(size=1024)

      featurizer=featurizer, verbosity="low")

  return loader.featurize(input_file)

def load_feat_multitask_data(self):

def load_feat_multitask_data():

  """Load example with numerical features, tasks."""

  current_dir = os.path.dirname(os.path.abspath(__file__))

  features = ["feat0", "feat1", "feat2", "feat3", "feat4", "feat5"]

      id_field="id", verbosity="low")

  return loader.featurize(input_file)

def load_gaussian_cdf_data(self):

def load_gaussian_cdf_data():

  """Load example with numbers sampled from Gaussian normal distribution.

     Each feature and task is a column of values that is sampled

     from a normal distribution of mean 0, stdev 1."""