Endpoint response for time series data

The SageMaker Clarify processing job deserializes the entire payload as JSON. It then extracts predictions from the deserialized data using JMESPath expressions provided in the analysis configuration. The records in the response payload must match the records in the request payload.

The following table is an example response from an endpoint that only outputs the mean prediction value. The value of forecast used in the predictor field in the analysis config should be provided as a JMESPath expression to find the prediction result for the processing job.

Endpoint request payload	Endpoint response payload (string representation)	JMESPath expression for forecast in the analysis config
Single record example. Config should be TimeSeriesModelConfig(forecast="prediction.mean") to extract prediction properly.	'{"prediction": {"mean": [1, 2, 3, 4, 5]}'	'prediction.mean'
Multiple records. An AWS deepAR endpoint response.	'{"predictions": [{"mean": [1, 2, 3, 4, 5]}, {"mean": [1, 2, 3, 4, 5]}]}'	'predictions[*].mean'