in tfx_addons/xgboost_evaluator/xgboost_predict_extractor.py [0:0]
def extract_model_specs(self):
label_specs = {}
for config in self._eval_config.model_specs:
if config.name:
label_specs[config.name] = config.label_key
else: # if the input name to ModelSpec is None, ModelSpec doesn't save it and config.name resolves to ''.
label_specs[None] = config.label_key
return label_specs