class_docstr: TreeEnsembleModel
  
  .. versionadded:: 1.3.0
class_docstr_tok: ["TreeEnsembleModel","..","versionadded",":",":","1.3.0"]
code: def predict(self, x: "VectorLike") -> float:
      ...
  
imports: import sys
  import random
  from pyspark import RDD, since
  from pyspark.mllib.common import callMLlibFunc, inherit_doc, JavaModelWrapper
  from pyspark.mllib.linalg import _convert_to_vector
  from pyspark.mllib.regression import LabeledPoint
  from pyspark.mllib.util import JavaLoader, JavaSaveable
  from typing import Dict, Optional, Tuple, Union, overload, TYPE_CHECKING
  from pyspark.rdd import RDD
label_desc: Use image node_id 1 for calling the TreeEnsembleModel obj's underlying member method code with example usage: obj.predict(x) without return types