parameters: ()
return_statement: return (
          _load_numeric_only_dataset(train_path, 400000, 2001, sep='\t'),
          _load_numeric_only_dataset(test_path, 100000, 2001, sep='\t'))
docstring: Download "epsilon" [1] data set.
  
      Will return two pandas.DataFrame-s, first with train part (epsilon_normalized) and second with
      test part (epsilon_normalized.t) of the dataset. Object class will be located in the first
      column of dataset.
  
      NOTE: This is a preprocessed version of the dataset. It was converted from libsvm format into
      tsv (CatBoost doesn't support libsvm format out of the box).
  
      [1]: https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#epsilon
docstring_summary: Download "epsilon" [1] data set.
docstring_tokens: Download epsilon [ 1 ] data set .
function: def epsilon():
      """
      Download "epsilon" [1] data set.
  
      Will return two pandas.DataFrame-s, first with train part (epsilon_normalized) and second with
      test part (epsilon_normalized.t) of the dataset. Object class will be located in the first
      column of dataset.
  
      NOTE: This is a preprocessed version of the dataset. It was converted from libsvm format into
      tsv (CatBoost doesn't support libsvm format out of the box).
  
      [1]: https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#epsilon
      """
      urls = (
          'https://proxy.sandbox.yandex-team.ru/785711439',
          'https://storage.mds.yandex.net/get-devtools-opensource/250854/epsilon.tar.gz', )
      md5 = '5bbfac403ac673da7d7ee84bd532e973'
      dataset_name, train_file, test_file = 'epsilon', 'train.tsv', 'test.tsv'
      train_path, test_path = _download_dataset(urls, md5, dataset_name, train_file, test_file, cache=True)
      return (
          _load_numeric_only_dataset(train_path, 400000, 2001, sep='\t'),
          _load_numeric_only_dataset(test_path, 100000, 2001, sep='\t'))
function_tokens: def epsilon ( ) : urls = ( 'https://proxy.sandbox.yandex-team.ru/785711439' , 'https://storage.mds.yandex.net/get-devtools-opensource/250854/epsilon.tar.gz' , ) md5 = '5bbfac403ac673da7d7ee84bd532e973' dataset_name , train_file , test_file = 'epsilon' , 'train.tsv' , 'test.tsv' train_path , test_path = _download_dataset ( urls , md5 , dataset_name , train_file , test_file , cache = True ) return ( _load_numeric_only_dataset ( train_path , 400000 , 2001 , sep = '\t' ) , _load_numeric_only_dataset ( test_path , 100000 , 2001 , sep = '\t' ) )