ML Model Services
An ML Model Service represents a connection to a machine learning platform (e.g., Mlflow, Sklearn, SageMaker). It is the root of the ML model hierarchy and contains ML Models.Entity schema follows the OpenMetadata Standard.
Entity Hierarchy
ML Model Services are at the top of the hierarchy:API Endpoints
| Method | Endpoint | Description |
|---|---|---|
PUT | /v1/services/mlmodelServices | Create or update |
POST | /v1/services/mlmodelServices | Create (POST variant) |
GET | /v1/services/mlmodelServices | List services |
GET | /v1/services/mlmodelServices/{id} | Get by ID |
GET | /v1/services/mlmodelServices/name/{fqn} | Get by name |
PATCH | /v1/services/mlmodelServices/{id} | Update by ID |
PATCH | /v1/services/mlmodelServices/name/{fqn} | Update by name |
DELETE | /v1/services/mlmodelServices/{id} | Delete by ID |
DELETE | /v1/services/mlmodelServices/name/{fqn} | Delete by name |
PUT | /v1/services/mlmodelServices/restore | Restore |
GET | /v1/services/mlmodelServices/{id}/versions | List versions |
GET | /v1/services/mlmodelServices/{id}/versions/{version} | Get version |