code: def _build_onnxml_api_operator_name_map():
      """
      Associate ONNXML with the operator class names.
      If two ONNXML models share a single name, it means they are equivalent in terms of conversion.
      """
      return {
          k: "ONNXML" + k for k in onnxml_operator_list if k is not None
      }
  
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 9 for calling a global function with example usage: _build_onnxml_api_operator_name_map() and returns: unknown