use complexe names as IDs in dataset instead of numbers

  # Delete labels for failing elements

  labels = np.delete(labels, failures)

  labels = labels.reshape((len(labels), 1))

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

  print('Featurization complete.')

  ids = np.delete(pdbs, failures)

  print("\nConstruct dataset excluding failing featurization elements...")

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

  # No transformations of data

  transformers = []