src/responsibleai/rai_analyse/create_counterfactual.py [13:40]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                                     create_rai_insights_from_port_path,
                                     save_to_output_port)

from responsibleai import RAIInsights

_logger = logging.getLogger(__file__)
_ai_logger = None


def _get_logger():
    global _ai_logger
    if _ai_logger is None:
        run = Run.get_context()
        module_name = run.properties["azureml.moduleName"]
        module_version = run.properties["azureml.moduleid"]
        _ai_logger = LoggerFactory.get_logger(
            __file__, module_name, module_version, COMPONENT_NAME)
    return _ai_logger


_get_logger()


def parse_args():
    # setup arg parser
    parser = argparse.ArgumentParser()

    parser.add_argument("--rai_insights_dashboard", type=str, required=True)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



src/responsibleai/rai_analyse/create_explanation.py [11:38]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                                     create_rai_insights_from_port_path,
                                     save_to_output_port)

from responsibleai import RAIInsights

_logger = logging.getLogger(__file__)
_ai_logger = None


def _get_logger():
    global _ai_logger
    if _ai_logger is None:
        run = Run.get_context()
        module_name = run.properties["azureml.moduleName"]
        module_version = run.properties["azureml.moduleid"]
        _ai_logger = LoggerFactory.get_logger(
            __file__, module_name, module_version, COMPONENT_NAME)
    return _ai_logger


_get_logger()


def parse_args():
    # setup arg parser
    parser = argparse.ArgumentParser()

    parser.add_argument("--rai_insights_dashboard", type=str, required=True)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -