code: def _repr(self, level=0, verbose=False) -> str:
      type_ = self.__class__
      module = type_.__module__
      qualname = type_.__qualname__
      wrappedname = str(
          self.wrapped_sklearn_predictor.__class__.__name__
      )
      return "<{}.{}({}(...)) object {}>".format(
          module, qualname, wrappedname, hex(id(self))
      )
  
imports: import functools
  import inspect
  from typing import Any, Tuple
  from neuraxle.base import BaseStep
  from neuraxle.base import ExecutionContext
  from neuraxle.hyperparams.distributions import Boolean, LogUniform
  from neuraxle.hyperparams.space import HyperparameterSamples, HyperparameterSpace, RecursiveDict
  from neuraxle.steps.numpy import NumpyTranspose
  from neuraxle.union import ModelStacking
  from sklearn.base import BaseEstimator
  from sklearn.ensemble import BaseEnsemble
  from sklearn.linear_model import Ridge
label_desc: Use image node_id 15 for calling the SKLearnWrapper obj's underlying member method code with example usage: obj._repr(level, verbose) and returns: str