class_docstr: Mixin for Decision Tree parameters.
class_docstr_tok: ["Mixin","for","Decision","Tree","parameters","."]
code: def __init__(self) -> None:
      super(_DecisionTreeParams, self).__init__()
  
imports: from typing import List, Sequence, TypeVar, TYPE_CHECKING
  from pyspark import since
  from pyspark.ml.linalg import Vector
  from pyspark.ml.param import Params
  from pyspark.ml.param.shared import HasCheckpointInterval, HasSeed, HasWeightCol, Param, TypeConverters, HasMaxIter, HasStepSize, HasValidationIndicatorCol
  from pyspark.ml.wrapper import JavaPredictionModel
  from pyspark.ml.common import inherit_doc
label_desc: Use image node_id 1 to create a new _DecisionTreeParams object from inherited base classes: HasCheckpointInterval, HasSeed, HasWeightCol with example: obj = _DecisionTreeParams()