Amazon Sage Maker Studio Model Registry

GPTKB entity

Statements (68)
Predicate Object
gptkbp:instance_of gptkb:Apache_Hive
gptkbp:allows model customization
model documentation
model registration
model rollback
model approval process
gptkbp:enables model testing
model sharing
collaboration among data scientists
model governance
batch inference
model retraining
model deployment automation
model performance tuning
gptkbp:facilitates model evaluation
experiment tracking
model lifecycle management
model collaboration
https://www.w3.org/2000/01/rdf-schema#label Amazon Sage Maker Studio Model Registry
gptkbp:integrates_with gptkb:Amazon_Sage_Maker_Pipelines
gptkbp:is_accessible_by gptkb:AWS_Management_Console
gptkbp:is_compatible_with gptkb:Jupyter_notebooks
AWS services
Docker containers
Python libraries
machine learning frameworks
gptkbp:is_integrated_with gptkb:Amazon_Cloud_Watch
gptkb:Amazon_S3
gptkb:AWS_Lambda
gptkb:AWS_IAM
gptkbp:is_part_of gptkb:Data_Analytics
data-driven decision making
cloud computing solutions
machine learning workflow
AI/ ML ecosystem
gptkbp:is_used_by data scientists
gptkbp:is_used_for data analysis
model optimization
gptkbp:is_used_in production environments
gptkbp:is_utilized_by machine learning engineers
gptkbp:is_utilized_for predictive analytics
gptkbp:is_utilized_in business intelligence
AI applications
gptkbp:offers model metadata storage
gptkbp:part_of gptkb:Sage
gptkbp:provides API access
model evaluation metrics
model versioning
model performance tracking
model artifact management
model deployment logs
model deployment templates
model lineage tracking
gptkbp:provides_access_to model artifacts
gptkbp:supports data preprocessing
data visualization
model deployment
data versioning
model monitoring
real-time inference
automated model deployment
multi-model endpoints
custom model deployment
model explainability
A/ B testing
model auditing
gptkbp:bfsParent gptkb:Amazon_Web_Services_AI
gptkbp:bfsLayer 5