def multiple_data_analysis(model_location: Text, data_locations: List[Text], **kwargs) -> EvalResults:
    'Run model analysis for a single model on multiple data sets.\n\n  Args:\n    model_location: The location of the exported eval saved model.\n    data_locations: A list of data set locations.\n    **kwargs: The args used for evaluation. See tfma.run_model_analysis() for\n      details.\n\n  Returns:\n    A tfma.EvalResults containing all the evaluation results with the same order\n    as data_locations.\n  '
    results = []
    for d in data_locations:
        results.append(single_model_analysis(model_location, d, **kwargs))
    return EvalResults(results, constants.DATA_CENTRIC_MODE)
Run model analysis for a single model on multiple data sets.

Args:
  model_location: The location of the exported eval saved model.
  data_locations: A list of data set locations.
  **kwargs: The args used for evaluation. See tfma.run_model_analysis() for
    details.

Returns:
  A tfma.EvalResults containing all the evaluation results with the same order
  as data_locations.
def multiple_data_analysis(model_location: Text, data_locations: List[Text], **kwargs) -> EvalResults:
    'Run model analysis for a single model on multiple data sets.\n\n  Args:\n    model_location: The location of the exported eval saved model.\n    data_locations: A list of data set locations.\n    **kwargs: The args used for evaluation. See tfma.run_model_analysis() for\n      details.\n\n  Returns:\n    A tfma.EvalResults containing all the evaluation results with the same order\n    as data_locations.\n  '
    results = []
    for d in data_locations:
        results.append(single_model_analysis(model_location, d, **kwargs))
    return EvalResults(results, constants.DATA_CENTRIC_MODE)