code: def fit(self, X, y):
      import sklearn.feature_selection
  
      self.alpha = float(self.alpha)
  
      self.preprocessor = (
          sklearn.feature_selection.GenericUnivariateSelect(
              score_func=self.score_func,
              param=self.alpha,
              mode=self.mode,
          )
      )
  
      self.preprocessor.fit(X, y)
      return self
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/select_rates_regression.py
imports: from typing import Optional
  from functools import partial
  from ConfigSpace import NotEqualsCondition
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformFloatHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 2 for calling the SelectRegressionRates obj's underlying member method code with example usage: obj.fit(X, y) and returns: self