code: def _parse_sklearn_single_model(topology, model, inputs):
      """
      This function handles all sklearn objects composed by a single model.
  
      Args:
          topology: The ``hummingbitd.ml._topology.Topology`` object where the model will be added
          model: A scikit-learn model object
          inputs: A list of `onnxconverter_common.topology.Variable`s
  
      Returns:
          A list of output `onnxconverter_common.topology.Variable` which will be passed to next stage
      """
      if isinstance(model, str):
          raise RuntimeError(
              "Parameter model must be an object not a "
              "string '{0}'.".format(model)
          )
  
      alias = get_sklearn_api_operator_name(type(model))
      this_operator = topology.declare_logical_operator(alias, model)
      this_operator.inputs = inputs
  
      # We assume that all scikit-learn operators produce a single output.
      variable = topology.declare_logical_variable("variable")
      this_operator.outputs.append(variable)
  
      return this_operator.outputs
  
imports: from collections import OrderedDict
  from copy import deepcopy
  import pprint
  from uuid import uuid4
  import numpy
  from onnxconverter_common.optimizer import LinkedNode, _topological_sort
  from sklearn import pipeline
  from sklearn.compose import ColumnTransformer
  from sklearn.ensemble import BaggingClassifier, BaggingRegressor
  from sklearn.model_selection import GridSearchCV, RandomizedSearchCV
  from sklearn.multioutput import MultiOutputRegressor, RegressorChain
  from sklearn.preprocessing import OneHotEncoder
  from .containers import CommonSklearnModelContainer, CommonONNXModelContainer, CommonSparkMLModelContainer
  from ._topology import Topology
  from ._utils import sklearn_installed, sparkml_installed
  from .operator_converters import constants
  from .supported import get_sklearn_api_operator_name, get_onnxml_api_operator_name, get_sparkml_api_operator_name
label_desc: Use image node_id 7 for calling a global function with example usage: _parse_sklearn_single_model(topology, model, inputs) and returns: this_operator