code: def fit(self, X, y, sample_weight=None):
      self.iterative_fit(X, y, n_iter=2, refit=True)
  
      iteration = 2
      while not self.configuration_fully_fitted():
          n_iter = int(2**iteration / 2)
          self.iterative_fit(X, y, n_iter=n_iter, refit=False)
          iteration += 1
  
      return self
  
imports: from typing import Dict, Optional
  import importlib
  import inspect
  import pkgutil
  import sys
  from collections import OrderedDict
  from sklearn.base import BaseEstimator, TransformerMixin
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.constants import SPARSE
label_desc: Use image node_id 1 for calling the IterativeComponent obj's underlying member method code with example usage: obj.fit(X, y, sample_weight) and returns: self