code: def get_sparkml_api_operator_name(model_type):
      """
      Get the operator name for the input model type in *Spark-ML API* format.
  
      Args:
          model_type: A Spark-ML model object (e.g., LogisticRegression)
  
      Returns:
          A string which stands for the type of the input model in the Hummingbird conversion framework.
          None if the model_type is not supported
      """
      if model_type not in sparkml_api_operator_name_map:
          return None
      return sparkml_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 14 for calling a global function with example usage: get_sparkml_api_operator_name(model_type) and returns: sparkml_api_operator_name_map, None