Amazon Sage Maker Studio Inference Recommender
GPTKB entity
Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Amazon_Web_Services
|
| gptkbp:allows |
custom model configurations
|
| gptkbp:enables |
data preprocessing
real-time monitoring model evaluation model optimization model customization model retraining model comparison model serving cost optimization for inference model scalability |
| gptkbp:facilitates |
A/ B testing for models
|
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon Sage Maker Studio Inference Recommender
|
| gptkbp:integrates_with |
gptkb:Amazon_Cloud_Watch
gptkb:Amazon_S3 gptkb:AWS_Lambda gptkb:Amazon_API_Gateway gptkb:AWS_IAM gptkb:Amazon_ECR gptkb:Jupyter_notebooks AWS services |
| gptkbp:offers |
API access
data visualization tools custom metrics cost analysis tools model deployment options model registry auto-scaling features integration with Sage Maker Pipelines model deployment templates model insights |
| gptkbp:part_of |
gptkb:Sage
|
| gptkbp:provides |
community support
monitoring capabilities security features user-friendly interface user documentation collaborative features logging capabilities training data management user access controls data ingestion tools resource management tools automated model tuning |
| gptkbp:supports |
team collaboration
cross-account access data governance data privacy data security data transformation automated testing data augmentation model versioning data labeling real-time inference Python SDK batch inference data drift detection model lifecycle management model performance tracking multi-model endpoints edge deployment model explainability serverless inference containerized models |
| gptkbp:utilizes |
machine learning models
|
| gptkbp:bfsParent |
gptkb:Amazon_Web_Services_AI
|
| gptkbp:bfsLayer |
5
|