code: def fit(self, X, y):
      self._fit(X)
      return self
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/random_trees_embedding.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, Constant, UniformIntegerHyperparameter, UnParametrizedHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, SIGNED_DATA, SPARSE, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool, check_none
label_desc: Use image node_id 3 for calling the RandomTreesEmbedding obj's underlying member method code with example usage: obj.fit(X, y) and returns: self