class_docstr: AdaBoost
  
  Builds an AdaBoost model
class_docstr_tok: ["AdaBoost","Builds","an","AdaBoost","model"]
code: def weak_learner(self, weak_learner):
      assert_is_type(
          weak_learner,
          None,
          Enum("auto", "drf", "glm", "gbm", "deep_learning"),
      )
      self._parms["weak_learner"] = weak_learner
  
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 15 for calling the H2OAdaBoostEstimator obj's underlying member method code with example usage: obj.weak_learner(weak_learner) without return types