SageMaker Studio Model Debugging Integration
GPTKB entity
Statements (37)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Amazon SageMaker feature
|
| gptkbp:allows |
analysis of model parameters
inspection of tensors visualization of training metrics |
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/studio-debugger.html
|
| gptkbp:enables |
model debugging
|
| https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Studio Model Debugging Integration
|
| gptkbp:integratesWith |
gptkb:Jupyter_notebooks
gptkb:SageMaker_Experiments SageMaker Training Jobs |
| gptkbp:offeredBy |
gptkb:Amazon_Web_Services
|
| gptkbp:partOf |
gptkb:Amazon_SageMaker_Studio
|
| gptkbp:provides |
interactive dashboards
alerts for anomalies custom rules for debugging pre-built rules for debugging |
| gptkbp:supports |
gptkb:TensorFlow
gptkb:XGBoost gptkb:MXNet gptkb:PyTorch gptkb:Amazon_SageMaker_Debugger real-time monitoring detect data leakage detect exploding gradients detect incorrect model architecture detect overfitting detect training issues detect vanishing gradients |
| gptkbp:visualizes |
weights
gradients feature maps input tensors layer outputs loss curves output tensors |
| gptkbp:bfsParent |
gptkb:SageMaker
|
| gptkbp:bfsLayer |
6
|