|
gptkbp:instanceOf
|
gptkb:machine_learning_model_registry
|
|
gptkbp:accessibleBy
|
gptkb:Google_Cloud_Console
gptkb:gcloud_CLI
gptkb:Vertex_AI_API
|
|
gptkbp:category
|
gptkb:MLOps
gptkb: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
|
|
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
|
6
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Vertex AI Model Registry
|