class_docstr: Cross-validation iterator over split predefined in files.
  
  This class is useful in orchestration where the train and test set is provided in
  separate files.
class_docstr_tok: ["Cross-validation","iterator","over","split","predefined","in","files",".","This","class","is","useful","in","orchestration","where","the","train","and","test","set","is","provided","in","separate","files","."]
code: def __init__(self, cv=None):
      self.cv = cv
  
file_path: sktime/sktime/series_as_features/model_selection/_split.py
imports: import numpy
  import pandas
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 1 to create a new PresplitFilesCV object  with example: obj = PresplitFilesCV(cv)