class_docstr: The BaseCrossValidator class is a base class for all the iterators that
  split the data in train and test as for example KFolds or LeavePOut
class_docstr_tok: ["The","BaseCrossValidator","class","is","a","base","class","for","all","the","iterators","that","split","the","data","in","train","and","test","as","for","example","KFolds","or","LeavePOut"]
code: def split(self):
      pass
  
file_path: statsmodels/statsmodels/gam/gam_cross_validation/cross_validators.py
imports: from abc import ABCMeta, abstractmethod
  from statsmodels.compat.python import with_metaclass
  import numpy
label_desc: Use image node_id 2 for calling the BaseCrossValidator obj's underlying member method code with example usage: obj.split() without return types