Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Sage
|
| gptkbp:allows |
custom debugging rules
|
| gptkbp:built |
AWS infrastructure
|
| gptkbp:can_be_combined_with |
Sage Maker Experiments
|
| gptkbp:can_be_used_for |
hyperparameter tuning
|
| gptkbp:can_be_used_to |
reduce training time
monitor resource utilization track experiments |
| gptkbp:can_be_used_with |
custom algorithms
|
| gptkbp:captures |
tensor data
|
| gptkbp:enables |
model optimization
automated model debugging |
| https://www.w3.org/2000/01/rdf-schema#label |
Sage Maker Debugger
|
| gptkbp:integrates_with |
gptkb:Sage
|
| gptkbp:is_accessible_by |
gptkb:AWS_Management_Console
gptkb:AWS_CLI |
| gptkbp:is_available_for |
various programming languages
|
| gptkbp:is_available_in |
gptkb:Sage_Maker_Studio
multiple AWS regions |
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Keras gptkb:MXNet gptkb:scikit-learn gptkb:Py_Torch |
| gptkbp:is_designed_for |
data scientists
machine learning engineers |
| gptkbp:is_documented_in |
AWS documentation
|
| gptkbp:is_integrated_with |
gptkb:AWS_Cloud_Watch
gptkb:Jupyter_notebooks |
| gptkbp:is_optimized_for |
large datasets
real-time applications |
| gptkbp:is_part_of |
AWS ecosystem
MLOps practices AI development lifecycle Sage Maker suite |
| gptkbp:is_scalable |
enterprise-level applications
|
| gptkbp:is_supported_by |
AWS support team
|
| gptkbp:is_used_for |
model evaluation
|
| gptkbp:is_used_in |
deep learning
|
| gptkbp:is_used_to |
improve model accuracy
debug training jobs identify training issues |
| gptkbp:offers |
data visualization tools
profiling capabilities cloud-based debugging |
| gptkbp:provides |
real-time alerts
user-friendly interface data integrity checks real-time debugging collaborative debugging debugging metrics model performance insights training job monitoring |
| gptkbp:security |
AWS security features
|
| gptkbp:supports |
model versioning
machine learning models model deployment distributed training batch inference |
| gptkbp:track |
training metrics
|
| gptkbp:bfsParent |
gptkb:AWS_Sage_Maker
gptkb:Sage |
| gptkbp:bfsLayer |
5
|