def post_metric()

in ml_ops/visualization_blog/lambdas/createforecast/forecast.py [0:0]

• 36 lines of code
• 3 McCabe index (conditional complexity)

def post_metric(metrics):
    # print(dumps(metrics))
    for metric in metrics['PredictorEvaluationResults']:
        CLOUDWATCH_CLI.put_metric_data(
            Namespace='FORECAST',
            MetricData=[
                {
                    'Dimensions':
                        [
                            {
                                'Name': 'Algorithm',
                                'Value': metric['AlgorithmArn']
                            }, {
                                'Name': 'Quantile',
                                'Value': str(quantile['Quantile'])
                            }
                        ],
                    'MetricName': 'WQL',
                    'Unit': 'None',
                    'Value': quantile['LossValue']
                } for quantile in metric['TestWindows'][0]['Metrics']
                ['WeightedQuantileLosses']
            ] + [
                {
                    'Dimensions':
                        [
                            {
                                'Name': 'Algorithm',
                                'Value': metric['AlgorithmArn']
                            }
                        ],
                    'MetricName': 'RMSE',
                    'Unit': 'None',
                    'Value': metric['TestWindows'][0]['Metrics']['RMSE']
                }
            ]
        )