original_docstring:  Splits multiple a list of tasks into training, validation and test sets
  
      args:
          full_datasets: The full dataset as a list of tasks each being of the form (data, labels)
          split_fractions: A list of split fractions which should sum up to 1.0
  
      returns:
          a list of length len(split_fractions) each containing a list of tasks
      
docstring: Splits multiple a list of tasks into training, validation and test sets
  args:
  full_datasets: The full dataset as a list of tasks each being of the form (data, labels)
  split_fractions: A list of split fractions which should sum up to 1.0
  
  a list of length len(split_fractions) each containing a list of tasks
docstring_tokens: Splits multiple a list of tasks into training validation and test sets args : full_datasets : The full dataset as a list of tasks each being of the form ( data labels ) split_fractions : A list of split fractions which should sum up to 1 . 0 a list of length len ( split_fractions ) each containing a list of tasks
code: def mk_training_validation_splits( full_datasets, split_fractions = (0.8, 0.1, 0.1) ):
      """ Splits multiple a list of tasks into training, validation and test sets
  
      args:
          full_datasets: The full dataset as a list of tasks each being of the form (data, labels)
          split_fractions: A list of split fractions which should sum up to 1.0
  
      returns:
          a list of length len(split_fractions) each containing a list of tasks
      """
      results = [ [] for i in range(len(split_fractions)) ]
      for ds in full_datasets:
          splits = split_dataset(ds, split_fractions)
          for i,sp in enumerate(splits):
              results[i].append(sp)
      return results
code_tokens: def mk_training_validation_splits ( full_datasets , split_fractions = ( 0.8 , 0.1 , 0.1 ) ) : results = [ [ ] for i in range ( len ( split_fractions ) ) ] for ds in full_datasets : splits = split_dataset ( ds , split_fractions ) for i , sp in enumerate ( splits ) : results [ i ] . append ( sp ) return results
short_docstring: Splits multiple a list of tasks into training, validation and test sets
  args:
  full_datasets: The full dataset as a list of tasks each being of the form (data, labels)
  split_fractions: A list of split fractions which should sum up to 1.0
short_docstring_tokens: Splits multiple a list of tasks into training validation and test sets args : full_datasets : The full dataset as a list of tasks each being of the form ( data labels ) split_fractions : A list of split fractions which should sum up to 1 . 0
comment: """ Splits multiple a list of tasks into training, validation and test sets
  
      args:
          full_datasets: The full dataset as a list of tasks each being of the form (data, labels)
          split_fractions: A list of split fractions which should sum up to 1.0
  
      returns:
          a list of length len(split_fractions) each containing a list of tasks
      """