aws.machinelearning.get_batch_prediction
Example SQL Queries
SELECT * FROMaws.machinelearning.get_batch_predictionWHERE"batch_prediction_id" = 'VALUE';Description
Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
Table Definition
| Column Name | Column Data Type |
|---|---|
| batch_prediction_id Required Input Column An ID assigned to the BatchPrediction at creation. This value should be identical to the value of the BatchPredictionID in the request. | VARCHAR |
| _aws_profile Input Column The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT( |
Show child fields
| |
| _aws_region Input Column The AWS region to use. | VARCHAR |
| batch_prediction_data_source_id The ID of the DataSource that was used to create the BatchPrediction. | VARCHAR |
| compute_time 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. | BIGINT |
| created_at The time when the BatchPrediction was created. The time is expressed in epoch time. | TIMESTAMP_S |
| created_by_iam_user 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. | VARCHAR |
| finished_at 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. | TIMESTAMP_S |
| input_data_location_s3 The location of the data file or directory in Amazon Simple Storage Service (Amazon S3). | VARCHAR |
| invalid_record_count The number of invalid records that Amazon Machine Learning saw while processing the BatchPrediction. | BIGINT |
| last_updated_at The time of the most recent edit to BatchPrediction. The time is expressed in epoch time. | TIMESTAMP_S |
| log_uri A link to the file that contains logs of the CreateBatchPrediction operation. | VARCHAR |
| message A description of the most recent details about processing the batch prediction request. | VARCHAR |
| ml_model_id The ID of the MLModel that generated predictions for the BatchPrediction request. | VARCHAR |
| name A user-supplied name or description of the BatchPrediction. | VARCHAR |
| output_uri The location of an Amazon S3 bucket or directory to receive the operation results. | VARCHAR |
| started_at The epoch time when Amazon Machine Learning marked the BatchPrediction as INPROGRESS. StartedAt isn't available if the BatchPrediction is in the PENDING state. | TIMESTAMP_S |
| status The status of the BatchPrediction, which can be one of the following values:
| VARCHAR |
| total_record_count The number of total records that Amazon Machine Learning saw while processing the BatchPrediction. | BIGINT |