class_docstr: Handles parameter management for classifiers composed of named estimators.
code: def __init__(self):
      pass
  
file_path: catboost/contrib/python/scikit-learn/py3/sklearn/utils/metaestimators.py
imports: from abc import ABCMeta, abstractmethod
  from contextlib import suppress
  from typing import Any, List
  import numpy
  from ..base import BaseEstimator
  from ..utils import _safe_indexing
  from ..utils._tags import _safe_tags
  from ._available_if import available_if
label_desc: Use image node_id 1 to create a new _BaseComposition object from inherited base classes: BaseEstimator with example: obj = _BaseComposition()