code: def get_sklearn_api_operator_name(model_type):
      """
      Get the operator name for the input model type in *scikit-learn API* format.
  
      Args:
          model_type: A scikit-learn model object (e.g., RandomForestClassifier)
                      or an object with scikit-learn API (e.g., LightGBM)
  
      Returns:
          A string which stands for the type of the input model in the Hummingbird conversion framework
      """
      if model_type not in sklearn_api_operator_name_map:
          raise MissingConverter(
              "Unable to find converter for model type {}.".format(
                  model_type
              )
          )
      return sklearn_api_operator_name_map[model_type]
  
file_path: hummingbird/hummingbird/ml/supported.py
imports: from collections import defaultdict
  from .exceptions import MissingConverter
  from ._utils import torch_installed, sklearn_installed, lightgbm_installed, xgboost_installed, onnx_runtime_installed, tvm_installed, sparkml_installed, prophet_installed
label_desc: Use image node_id 12 for calling a global function with example usage: get_sklearn_api_operator_name(model_type) and returns: sklearn_api_operator_name_map