Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:benefit |
Enable Feature Access Control
Enable Feature Lineage Enable Feature Monitoring Improve Collaboration Increase Model Accuracy Reduce Feature Duplication |
| gptkbp:cloudProviderExample |
gptkb:Databricks
gptkb:AWS gptkb:Google_Cloud gptkb:Azure |
| gptkbp:component |
ML Platform
|
| gptkbp:enables |
Feature Discovery
Feature Engineering Feature Governance Feature Versioning Offline Feature Serving Online Feature Serving |
| gptkbp:example |
gptkb:saint
gptkb:Tecton gptkb:AWS_SageMaker_Feature_Store gptkb:Databricks_Feature_Store gptkb:Google_Vertex_AI_Feature_Store |
| gptkbp:firstFeatureStore |
gptkb:Michelangelo_Feature_Store
|
| https://www.w3.org/2000/01/rdf-schema#label |
Feature Store
|
| gptkbp:integratesWith |
Data Lake
Data Warehouse Model Serving Pipelines Model Training Pipelines |
| gptkbp:introducedIn |
gptkb:Uber
|
| gptkbp:numberOfLocations |
Feature Definitions
Feature Metadata Feature Values |
| gptkbp:openSourceExample |
gptkb:saint
|
| gptkbp:purpose |
Manage Features
Reuse Features Serve Features Share Features |
| gptkbp:relatedTo |
gptkb:MLOps
gptkb:Data_Science Data Engineering Feature Pipeline Model Deployment |
| gptkbp:supports |
Batch Feature Serving
Batch Ingestion Real-time Feature Serving Streaming Ingestion |
| gptkbp:usedIn |
gptkb:Machine_Learning
|
| gptkbp:bfsParent |
gptkb:Databricks_Machine_Learning
|
| gptkbp:bfsLayer |
6
|