Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
cloud machine learning service
|
| gptkbp:enables |
model training
|
| gptkbp:feature |
managed infrastructure
multi-GPU support automatic resource provisioning cost optimization multi-node training training job billing training job monitoring training job scheduling training job security training job versioning automatic model scaling training data encryption training job API training job CLI training job SDK training job automation training job checkpointing training job console training job debugging training job input from S3 training job logs training job output to S3 training job profiling training job resource tagging training job status notifications training metrics logging |
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon SageMaker Training
|
| gptkbp:integratesWith |
gptkb:Amazon_S3
gptkb:Amazon_ECR gptkb:AWS_Key_Management_Service gptkb:AWS_Identity_and_Access_Management gptkb:Amazon_CloudWatch |
| gptkbp:partOf |
gptkb:Amazon_SageMaker
|
| gptkbp:provides |
gptkb:Amazon_Web_Services
|
| gptkbp:supports |
gptkb:TensorFlow
gptkb:MXNet gptkb:PyTorch gptkb:scikit-learn hyperparameter tuning distributed training automatic model tuning built-in algorithms custom containers bring-your-own-algorithm managed spot training |
| gptkbp:bfsParent |
gptkb:SageMaker_Studio_Model_Pipelines
gptkb:SageMaker_Pipelines gptkb:Amazon_SageMaker_Feature_Store |
| gptkbp:bfsLayer |
7
|