class_docstr: Group categories whose occurence is less than a specified minimum fraction.
code: def transform(self, X: PIPELINE_DATA_DTYPE) -> PIPELINE_DATA_DTYPE:
      if self.preprocessor is None:
          raise NotImplementedError()
      return self.preprocessor.transform(X)
  
file_path: auto-sklearn/autosklearn/pipeline/components/data_preprocessing/minority_coalescense/minority_coalescer.py
imports: from typing import Dict, Optional, Tuple, Union
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter
  import autosklearn.pipeline.implementations.MinorityCoalescer
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 3 for calling the MinorityCoalescer obj's underlying member method code with example usage: obj.transform(X) and returns: self