class_docstr: Group categories whose occurence is less than a specified minimum fraction.
code: def __init__(
      self,
      feat_type: Optional[FEAT_TYPE_TYPE] = None,
      minimum_fraction: float = 0.01,
      random_state: Optional[Union[int, np.random.RandomState]] = None,
  ) -> None:
      self.minimum_fraction = minimum_fraction
  
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 1 to create a new MinorityCoalescer object from inherited base classes: AutoSklearnPreprocessingAlgorithm with example: obj = MinorityCoalescer(feat_type, minimum_fraction, random_state)