fe358db6913812c1e3ba8cd8036d941c996fb413,deepchem/datasets/muv_datasets.py,,load_muv,#Any#Any#,30

Before Change

      samples_dir, shard_size=8192,
      reload=reload)

  dataset = Dataset(data_dir=data_dir, samples=featurized_samples, 
                    featurizers=featurizers, tasks=all_MUV_tasks,
                    verbosity=verbosity, reload=reload)

  // Initialize transformers 
  input_transformers = []
  output_transformers = []
  weight_transformers = [
      BalancingTransformer(transform_w=True, dataset=dataset)]
  transformers = input_transformers + output_transformers + weight_transformers
  if not reload:
    print("About to transform data")
    for transformer in transformers:
        transformer.transform(dataset)

After Change

                              smiles_field="smiles",
                              featurizers=featurizers,
                              verbosity=verbosity)
  if not reload or not os.path.exists(data_dir):
    dataset = featurizer.featurize(dataset_file, data_dir)
    regen = True
  else:
    dataset = Dataset(data_dir, reload=True)

  // Initialize transformers 
  transformers = [
      BalancingTransformer(transform_w=True, dataset=dataset)]
  if regen:
    print("About to transform data")

Instances