Properties (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:developedBy |
gptkb:Amazon_Web_Services
|
| gptkbp:features |
Collaboration tools
Version control User management Code repositories Interactive data exploration Customizable environments Experiment management Custom training scripts Monitoring and debugging tools User interface for model building |
| https://www.w3.org/2000/01/rdf-schema#label |
AWS SageMaker Studio
|
| gptkbp:integratesWith |
gptkb:Amazon_CloudWatch
gptkb:Amazon_QuickSight gptkb:Amazon_S3 gptkb:AWS_Lambda gptkb:Amazon_EC2 gptkb:Amazon_ECR AWS_services |
| gptkbp:offers |
Custom model training
Built-in algorithms Cost management tools Integration with third-party tools Integration with Git Model monitoring Model explainability tools Pre-built environments for popular frameworks |
| gptkbp:provides |
User-friendly interface
Resource management tools Security features Data labeling services Documentation and tutorials AutoML capabilities Access to pre-built models Integrated Jupyter notebooks Training job management Access to training datasets Notebook instance management |
| gptkbp:supports |
Data visualization
Scalable infrastructure Data security Team collaboration Deployment pipelines Feature engineering Model evaluation Containerized applications Data ingestion Data preparation Real-time inference Model training Experiment tracking Model deployment Multi-model endpoints Data science workflows Batch inference Model retraining Hyperparameter_tuning |
| gptkbp:uses |
Machine learning frameworks
|