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: Seed for pseudo random number generator (if applicable).
  
  Type: ``int``, defaults to ``-1``.
docstr_tok: ["Seed","for","pseudo","random","number","generator","(","if","applicable",")",".","Type",":","``","int","``",",","defaults","to","``","-1","``","."]
code: def seed(self):
      """
      Seed for pseudo random number generator (if applicable).
  
      Type: ``int``, defaults to ``-1``.
      """
      return self._parms.get("seed")
  
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 6 for calling the H2ORuleFitEstimator obj's underlying member method code with example usage: obj.seed() and returns: self