class_docstr: AdaBoost
  
  Builds an AdaBoost model
class_docstr_tok: ["AdaBoost","Builds","an","AdaBoost","model"]
docstr: Number of AdaBoost weak learners.
  
  Type: ``int``, defaults to ``50``.
docstr_tok: ["Number","of","AdaBoost","weak","learners",".","Type",":","``","int","``",",","defaults","to","``","50","``","."]
code: def nlearners(self):
      """
      Number of AdaBoost weak learners.
  
      Type: ``int``, defaults to ``50``.
      """
      return self._parms.get("nlearners")
  
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 12 for calling the H2OAdaBoostEstimator obj's underlying member method code with example usage: obj.nlearners() and returns: self