src/graph_notebook/notebooks/03-Neptune-ML/02-SPARQL/neptune_ml_sparql_utils.py [649:672]:
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            if classification_running:
                response = sm.describe_endpoint(
                    EndpointName=classification_output
                )
                if response['EndpointStatus'] in ['InService', 'Failed']:
                    if response['EndpointStatus'] == 'InService':
                        classification_endpoint_name = response
                    classification_running = False
            if regression_running:
                response = sm.describe_endpoint(
                    EndpointName=regression_output
                )
                if response['EndpointStatus'] in ['InService', 'Failed']:
                    if response['EndpointStatus'] == 'InService':
                        regression_endpoint_name = response
                    regression_running = False
            if prediction_running:
                response = sm.describe_endpoint(
                    EndpointName=prediction_output
                )
                if response['EndpointStatus'] in ['InService', 'Failed']:
                    if response['EndpointStatus'] == 'InService':
                        prediction_endpoint_name = response
                    prediction_running = False
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src/graph_notebook/notebooks/03-Neptune-ML/neptune_ml_utils.py [642:665]:
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            if classification_running:
                response = sm.describe_endpoint(
                    EndpointName=classification_output
                )
                if response['EndpointStatus'] in ['InService', 'Failed']:
                    if response['EndpointStatus'] == 'InService':
                        classification_endpoint_name = response
                    classification_running = False
            if regression_running:
                response = sm.describe_endpoint(
                    EndpointName=regression_output
                )
                if response['EndpointStatus'] in ['InService', 'Failed']:
                    if response['EndpointStatus'] == 'InService':
                        regression_endpoint_name = response
                    regression_running = False
            if prediction_running:
                response = sm.describe_endpoint(
                    EndpointName=prediction_output
                )
                if response['EndpointStatus'] in ['InService', 'Failed']:
                    if response['EndpointStatus'] == 'InService':
                        prediction_endpoint_name = response
                    prediction_running = False
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