class_docstr: Leave-P-Out cross validation iterator:
  Provides train/test indexes to split data in train test sets
code: def __repr__(self):
      return "%s.%s(n=%i, p=%i)" % (
          self.__class__.__module__,
          self.__class__.__name__,
          self.n,
          self.p,
      )
  
imports: from statsmodels.compat.python import lrange
  import numpy
  from itertools import combinations
label_desc: Use image node_id 3 for calling the LeavePOut obj's underlying member method code with example usage: obj.__repr__() and returns: unknown