Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
machine learning model registry
|
| gptkbp:accessibleBy |
gptkb:Google_Cloud_Console
gptkb:gcloud_CLI gptkb:Vertex_AI_API |
| gptkbp:category |
gptkb:MLOps
machine learning infrastructure |
| gptkbp:documentation |
https://cloud.google.com/vertex-ai/docs/model-registry/introduction
|
| gptkbp:feature |
audit logging
integration with CI/CD pipelines model approval workflows model metadata management model rollback model access control model deprecation model promotion model search centralized model repository model evaluation results storage model tagging |
| gptkbp:features |
IAM-based access control
data encryption at rest data encryption in transit |
| gptkbp:hasModel |
gptkb:TensorFlow
gptkb:XGBoost gptkb:PyTorch gptkb:scikit-learn custom containers |
| https://www.w3.org/2000/01/rdf-schema#label |
Vertex AI Model Registry
|
| gptkbp:integratesWith |
gptkb:Google_Cloud_Storage
gptkb:Vertex_AI_Endpoints gptkb:Vertex_AI_Experiments gptkb:Vertex_AI_Feature_Store gptkb:Vertex_AI_Pipelines gptkb:Vertex_AI_Training gptkb:BigQuery |
| gptkbp:launched |
gptkb:Google
|
| gptkbp:offeredBy |
gptkb:Google_Cloud_Platform
|
| gptkbp:partOf |
gptkb:Vertex_AI
|
| gptkbp:purpose |
deploy machine learning models
manage machine learning models register machine learning models version machine learning models |
| gptkbp:regionAvailability |
multiple Google Cloud regions
|
| gptkbp:supports |
model deployment
model evaluation model versioning model lineage tracking |
| gptkbp:bfsParent |
gptkb:Vertex_AI
|
| gptkbp:bfsLayer |
5
|