http://forecast.{region}.amazonaws.com/#X-Amz-Target=AmazonForecast.CreatePredictorBacktestExportJob<p>Exports backtest forecasts and accuracy metrics generated by the <a>CreateAutoPredictor</a> or <a>CreatePredictor</a> operations. Two folders containing CSV or Parquet files are exported to your specified S3 bucket.</p> <p> The export file names will match the following conventions:</p> <p> <code><ExportJobName>_<ExportTimestamp>_<PartNumber>.csv</code> </p> <p>The <ExportTimestamp> component is in Java SimpleDate format (yyyy-MM-ddTHH-mm-ssZ).</p> <p>You must specify a <a>DataDestination</a> object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see <a>aws-forecast-iam-roles</a>.</p> <note> <p>The <code>Status</code> of the export job must be <code>ACTIVE</code> before you can access the export in your Amazon S3 bucket. To get the status, use the <a>DescribePredictorBacktestExportJob</a> operation.</p> </note>
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://forecast.{region}.amazonaws.com/#X-Amz-Target=AmazonForecast.CreatePredictorBacktestExportJob' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}http://forecast.{region}.amazonaws.com/#X-Amz-Target=AmazonForecast.CreatePredictorBacktestExportJob<p>Exports backtest forecasts and accuracy metrics generated by the <a>CreateAutoPredictor</a> or <a>CreatePredictor</a> operations. Two folders containing CSV or Parquet files are exported to your specified S3 bucket.</p> <p> The export file names will match the following conventions:</p> <p> <code><ExportJobName>_<ExportTimestamp>_<PartNumber>.csv</code> </p> <p>The <ExportTimestamp> component is in Java SimpleDate format (yyyy-MM-ddTHH-mm-ssZ).</p> <p>You must specify a <a>DataDestination</a> object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see <a>aws-forecast-iam-roles</a>.</p> <note> <p>The <code>Status</code> of the export job must be <code>ACTIVE</code> before you can access the export in your Amazon S3 bucket. To get the status, use the <a>DescribePredictorBacktestExportJob</a> operation.</p> </note>
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://forecast.{region}.amazonaws.com/#X-Amz-Target=AmazonForecast.CreatePredictorBacktestExportJob' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}