GetBatchPredictionResponse

The ID of the DataSource that was used to create the BatchPrediction.

An ID assigned to the BatchPrediction at creation. This value should be identical to the value of the BatchPredictionID in the request.

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the BatchPrediction, normalized and scaled on computation resources. ComputeTime is only available if the BatchPrediction is in the COMPLETED state.

The time when the BatchPrediction was created. The time is expressed in epoch time.

The AWS user account that invoked the BatchPrediction. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

The epoch time when Amazon Machine Learning marked the BatchPrediction as COMPLETED or FAILED. FinishedAt is only available when the BatchPrediction is in the COMPLETED or FAILED state.

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction.

The time of the most recent edit to BatchPrediction. The time is expressed in epoch time.

A link to the file that contains logs of the CreateBatchPrediction operation.

A description of the most recent details about processing the batch prediction request.

The ID of the MLModel that generated predictions for the BatchPrediction request.

A user-supplied name or description of the BatchPrediction.

The location of an Amazon S3 bucket or directory to receive the operation results.

The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS. StartedAt isn't available if the BatchPrediction is in the PENDING state.

The status of the BatchPrediction, which can be one of the following values:

The number of total records that Amazon Machine Learning saw while processing the BatchPrediction.