Removing some prints

  features, failures = featurizer.featurize_complexes(

      ligand_files, protein_files, log_every_n=1)

  # Delete labels for failing elements

  print("np.shape(features)")

  print(np.shape(features))

  print("failures")

  print(failures)

  print("np.shape(labels)")

  print(np.shape(labels))

  labels = np.delete(labels, failures)

  dataset = deepchem.data.DiskDataset.from_numpy(features, labels)

  # No transformations of data