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: Set default multinomial AUC type.
  
  Type: ``Literal["auto", "none", "macro_ovr", "weighted_ovr", "macro_ovo", "weighted_ovo"]``, defaults to
  ``"auto"``.
docstr_tok: ["Set","default","multinomial","AUC","type",".","Type",":","``","Literal","[","``","auto","''",",","``","none","''",",","``","macro_ovr","''",",","``","weighted_ovr","''",",","``","macro_ovo","''",",","``","weighted_ovo","''","]","``",",","defaults","to","``","``","auto","''","``","."]
code: def auc_type(self):
      """
      Set default multinomial AUC type.
  
      Type: ``Literal["auto", "none", "macro_ovr", "weighted_ovr", "macro_ovo", "weighted_ovo"]``, defaults to
      ``"auto"``.
      """
      return self._parms.get("auc_type")
  
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 28 for calling the H2ORuleFitEstimator obj's underlying member method code with example usage: obj.auc_type() and returns: self