Deleting Objects When you no longer need your datasources, ML models, evaluations, and batch predictions, you can delete them. Although there is no additional cost for keeping Amazon ML objects other than batch predictions after you are done with them, deleting objects keeps your workspace uncluttered and easier Version Latest 115
Amazon Machine Learning Developer Guide Deleting Objects (Console) to manage. You can delete single or multiple objects using the Amazon Machine Learning (Amazon ML) console or the API. Warning When you delete Amazon ML objects, the effect is immediate, permanent, and irreversible. Deleting Objects (Console) You can use the Amazon ML console to delete objects, including models. The procedure that you use to delete a model depends on whether you're using the model to generate real-time predictions or not. To delete a model used to generate real-time predictions, first delete the real-time endpoint. To delete Amazon ML objects (console) 1. Sign in to the AWS Management Console and open the Amazon Machine Learning console at . 2. Select the Amazon ML objects that you want to delete. To select more than one object, use the SHIFT key. To deselect all selected objects, use the or buttons. 3. For Actions , choose Delete . 4. In the dialog box, choose Delete to delete the model. To delete an Amazon ML model with a real-time endpoint (console) 1. Sign in to the AWS Management Console and open the Amazon Machine Learning console at . 2. Select the model that you want to delete. 3. For Actions , choose Delete real-time endpoint . 4. Choose Delete to delete the endpoint. 5. Select the model again. 6. For Actions , choose Delete . 7. Choose Delete to delete the model. Deleting Objects (API) You can delete Amazon ML objects using the following API calls: • DeleteDataSource - Takes the parameter DataSourceId . • DeleteMLModel - Takes the parameter MLModelId . • DeleteEvaluation - Takes the parameter EvaluationId . • DeleteBatchPrediction - Takes the parameter BatchPredictionId . Version Latest 116
Amazon Machine Learning Developer Guide Deleting Objects (API) For more information, see the Amazon Machine Learning API Reference . Version Latest 117
Amazon Machine Learning Developer Guide Monitoring Amazon ML with Amazon CloudWatch Metrics Amazon ML automatically sends metrics to Amazon CloudWatch so that you can gather and analyze usage statistics for your ML models. For example, to keep track of batch and real-time predictions, you can monitor the PredictCount metric according to the RequestMode dimension. The metrics are automatically collected and sent to Amazon CloudWatch every five minutes. You can monitor these metrics by using the Amazon CloudWatch console, AWS CLI, or AWS SDKs.
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