class_docstr: Isotonic Regression
class_docstr_tok: ["Isotonic","Regression"]
docstr: Number of folds for K-fold cross-validation (0 to disable or >= 2).
  
  Type: ``int``, defaults to ``0``.
docstr_tok: ["Number","of","folds","for","K-fold","cross-validation","(","0","to","disable","or",">","=","2",")",".","Type",":","``","int","``",",","defaults","to","``","0","``","."]
code: def nfolds(self):
      """
      Number of folds for K-fold cross-validation (0 to disable or >= 2).
  
      Type: ``int``, defaults to ``0``.
      """
      return self._parms.get("nfolds")
  
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 16 for calling the H2OIsotonicRegressionEstimator obj's underlying member method code with example usage: obj.nfolds() and returns: self