class_docstr: Isotonic Regression
class_docstr_tok: ["Isotonic","Regression"]
docstr: Column with cross-validation fold index assignment per observation.
  
  Type: ``str``.
docstr_tok: ["Column","with","cross-validation","fold","index","assignment","per","observation",".","Type",":","``","str","``","."]
code: def fold_column(self):
      """
      Column with cross-validation fold index assignment per observation.
  
      Type: ``str``.
      """
      return self._parms.get("fold_column")
  
imports: from h2o.estimators.estimator_base import H2OEstimator
  from h2o.exceptions import H2OValueError
  from h2o.frame import H2OFrame
  from h2o.utils.typechecks import assert_is_type, Enum, numeric
label_desc: Use image node_id 26 for calling the H2OIsotonicRegressionEstimator obj's underlying member method code with example usage: obj.fold_column() and returns: self