class_docstr: Abstract base class for all random forest models.
code: def __init__(self, *args: Any, **kwargs: Any) -> None:
      super().__init__(*args, **kwargs)
  
      self._conditional: dict[int, bool] = dict()
      self._impute_values: dict[int, float] = dict()
  
file_path: SMAC3/smac/model/random_forest/abstract_random_forest.py
imports: from __future__ import annotations
  from typing import Any
  import numpy
  from ConfigSpace import CategoricalHyperparameter, Constant, UniformFloatHyperparameter, UniformIntegerHyperparameter
  from smac.model.abstract_model import AbstractModel
label_desc: Use image node_id 1 to create a new AbstractRandomForest object from inherited base classes: AbstractModel with example: obj = AbstractRandomForest()