def multiple_model_analysis(model_locations: List[Text], data_location: Text, **kwargs) -> EvalResults:
    'Run model analysis for multiple models on the same data set.\n\n  Args:\n    model_locations: A list of paths to the export eval saved model.\n    data_location: The location of the data files.\n    **kwargs: The args used for evaluation. See tfma.single_model_analysis() for\n      details.\n\n  Returns:\n    A tfma.EvalResults containing all the evaluation results with the same order\n    as model_locations.\n  '
    results = []
    for m in model_locations:
        results.append(single_model_analysis(m, data_location, **kwargs))
    return EvalResults(results, constants.MODEL_CENTRIC_MODE)
Run model analysis for multiple models on the same data set.

Args:
  model_locations: A list of paths to the export eval saved model.
  data_location: The location of the data files.
  **kwargs: The args used for evaluation. See tfma.single_model_analysis() for
    details.

Returns:
  A tfma.EvalResults containing all the evaluation results with the same order
  as model_locations.
def multiple_model_analysis(model_locations: List[Text], data_location: Text, **kwargs) -> EvalResults:
    'Run model analysis for multiple models on the same data set.\n\n  Args:\n    model_locations: A list of paths to the export eval saved model.\n    data_location: The location of the data files.\n    **kwargs: The args used for evaluation. See tfma.single_model_analysis() for\n      details.\n\n  Returns:\n    A tfma.EvalResults containing all the evaluation results with the same order\n    as model_locations.\n  '
    results = []
    for m in model_locations:
        results.append(single_model_analysis(m, data_location, **kwargs))
    return EvalResults(results, constants.MODEL_CENTRIC_MODE)