class_docstr: RuleFit
  
  Builds a RuleFit on a parsed dataset, for regression or 
  classification. 
class_docstr_tok: ["RuleFit","Builds","a","RuleFit","on","a","parsed","dataset",",","for","regression","or","classification","."]
docstr: Specifies the number of trees to build in the tree model. Defaults to 50.
  
  Type: ``int``, defaults to ``50``.
docstr_tok: ["Specifies","the","number","of","trees","to","build","in","the","tree","model",".","Defaults","to","50",".","Type",":","``","int","``",",","defaults","to","``","50","``","."]
code: def rule_generation_ntrees(self):
      """
      Specifies the number of trees to build in the tree model. Defaults to 50.
  
      Type: ``int``, defaults to ``50``.
      """
      return self._parms.get("rule_generation_ntrees")
  
imports: from h2o.utils.metaclass import deprecated_params, deprecated_property
  import h2o
  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 H2ORuleFitEstimator obj's underlying member method code with example usage: obj.rule_generation_ntrees() and returns: self