d52ed986c4bd1454c1d1bfabb6e47031c56712b4,deepchem/molnet/load_function/zinc15_datasets.py,,load_zinc15,#,40

Before Change


  my_tasks = ["mwt", "logp", "reactive"]  // machine learning targets

  // Get params specific to ZINC15
  dataset_size = zinc15_kwargs.get("dataset_size", "250K")
  dataset_dimension = zinc15_kwargs.get("dataset_dimension", "2D")

  // Raise warnings and list other available options
  if dataset_size not in ["250K", "1M", "10M"]:

After Change


      answer = input(You"re about to download 270M SMILES strings.
        This dataset is 23GB. Are you sure you want to continue? (Y/N)
                    ).lower()
    if answer == "n":
      raise ValueError("Choose a smaller dataset_size.")

  dataset_filename = "zinc15_" + dataset_size + "_" + dataset_dimension + ".tar.gz"

  zinc15_URL = "https://deepchemdata.s3-us-west-1.amazonaws.com/datasets/" + dataset_filename
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: deepchem/deepchem
Commit Name: d52ed986c4bd1454c1d1bfabb6e47031c56712b4
Time: 2020-09-18
Author: nfrey213@gmail.com
File Name: deepchem/molnet/load_function/zinc15_datasets.py
Class Name:
Method Name: load_zinc15


Project Name: scikit-learn-contrib/categorical-encoding
Commit Name: 970491cd9b3cb21b043c22b50b4d09f9dd2481a7
Time: 2018-10-19
Author: jan@motl.us
File Name: category_encoders/woe.py
Class Name: WOEEncoder
Method Name: _score


Project Name: tryolabs/luminoth
Commit Name: 3d76f1419df74f80369785cc962f1d143eb172de
Time: 2018-03-20
Author: joaquin.alori@gmail.com
File Name: luminoth/models/ssd/ssd_feature_extractor.py
Class Name: SSDFeatureExtractor
Method Name: __init__