Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:machine_learning_tool
|
| gptkbp:cloudBased |
gptkb:AWS
|
| gptkbp:developedBy |
gptkb:Amazon
|
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/debugger.html
|
| gptkbp:feature |
real-time monitoring
automatic detection of training issues integration with SageMaker Studio profiling resource utilization |
| gptkbp:partOf |
gptkb:Amazon_SageMaker
|
| gptkbp:platform |
gptkb:TensorFlow
gptkb:XGBoost gptkb:MXNet gptkb:PyTorch |
| gptkbp:purpose |
debugging machine learning models
profiling machine learning training jobs |
| gptkbp:releaseYear |
2019
|
| gptkbp:bfsParent |
gptkb:AWS_SageMaker
gptkb:SageMaker |
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Debugger
|