class_docstr: AdaBoost
  
  Builds an AdaBoost model
class_docstr_tok: ["AdaBoost","Builds","an","AdaBoost","model"]
docstr: Learning rate (from 0.0 to 1.0)
  
  Type: ``float``, defaults to ``0.5``.
docstr_tok: ["Learning","rate","(","from","0.0","to","1.0",")","Type",":","``","float","``",",","defaults","to","``","0.5","``","."]
code: def learn_rate(self):
      """
      Learning rate (from 0.0 to 1.0)
  
      Type: ``float``, defaults to ``0.5``.
      """
      return self._parms.get("learn_rate")
  
imports: import ast
  import json
  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
  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 H2OAdaBoostEstimator obj's underlying member method code with example usage: obj.learn_rate() and returns: self