class_docstr: Decision Tree
  
  Builds a Decision Tree (DT) on a preprocessed dataset.
docstr: Max depth of tree.
  
  Type: ``int``, defaults to ``20``.
docstr_tok: ["Max","depth","of","tree",".","Type",":","``","int","``",",","defaults","to","``","20","``","."]
code: def max_depth(self):
      """
      Max depth of tree.
  
      Type: ``int``, defaults to ``20``.
      """
      return self._parms.get("max_depth")
  
imports: 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 14 for calling the H2ODecisionTreeEstimator obj's underlying member method code with example usage: obj.max_depth() and returns: self