Monkey Patch

def monkey_patch_get_signature_names_out():
  """Monkey patch some classes which did not handle get_feature_names_out()
    correctly in Scikit-Learn 1.0.*."""
  from inspect import Signature, signature, Parameter
  import pandas as pd
  from sklearn.impute import SimpleImputer
  from sklearn.pipeline import make_pipeline, Pipeline
  from sklearn.preprocessing import FunctionTransformer, StandardScaler

  default_get_feature_names_out = StandardScaler.get_feature_names_out

  if not hasattr(SimpleImputer, "get_feature_names_out"):
    print("Monkey-patching SimpleImputer.get_feature_names_out()")
    SimpleImputer.get_feature_names_out = default_get_feature_names_out

  if not hasattr(FunctionTransformer, "get_feature_names_out"):
    print("Monkey-patching FunctionTransformer.get_feature_names_out()")
    orig_init = FunctionTransformer.__init__
    orig_sig = signature(orig_init)

    def __init__(*args, feature_names_out=None, **kwargs):
      orig_sig.bind(*args, **kwargs)
      orig_init(*args, **kwargs)
      args[0].feature_names_out = feature_names_out

    __init__.__signature__ = Signature(
      list(signature(orig_init).parameters.values()) + [
        Parameter("feature_names_out", Parameter.KEYWORD_ONLY)])

    def get_feature_names_out(self, names=None):
      if callable(self.feature_names_out):
        return self.feature_names_out(self, names)
      assert self.feature_names_out == "one-to-one"
      return default_get_feature_names_out(self, names)

    FunctionTransformer.__init__ = __init__
    FunctionTransformer.get_feature_names_out = get_feature_names_out

monkey_patch_get_signature_names_out()