| Name: Trained_Machine_Learning_Model | Version Id: 1.0.0.0 | ||
|---|---|---|---|
| Description:The Trained_Machine_Learning_Model class is a container for information about how a given model was trained and evaluated. Machine_Learning_Algorithm, Training_Set, Optimization_Algorithm, Optimization_Algorithm_Parameter, Trained_Model_Hyperparameter, and Trained_Model_File are required, while Validation_Set, Test_Set, Test_Performance, Trained_Model_Architecture, Calibration_Method, and Calibration_Method_Parameter are optional. | |||
| Namespace Id: ml | Steward: img | Role: TBD_role | Status: Active |
| Class Hierarchy: Trained_Machine_Learning_Model | |||
| Attribute(s) | Name | Cardinality | Value |
| trained_model_version_id | 1..1 | None | |
| trained_model_name | 1..1 | None | |
| trained_model_creation_date | 1..1 | None | |
| Association(s) | Name | Cardinality | Class |
| Machine_Learning_Algorithm | 1..1 | Machine_Learning_Algorithm | |
| Training_Set | 1..1 | Training_Set | |
| Validation_Set | 0..1 | Validation_Set | |
| Test_Set | 0..1 | Test_Set | |
| Test_Performance | 0..Unbounded | Test_Performance | |
| Optimization_Algorithm | 1..Unbounded | Optimization_Algorithm | |
| Optimization_Algorithm_Parameter | 1..Unbounded | Optimization_Algorithm_Parameter | |
| Trained_Model_Hyperparameter | 1..Unbounded | Trained_Model_Hyperparameter | |
| Trained_Model_Architecture | 0..Unbounded | Trained_Model_Architecture | |
| Calibration_Method | 0..Unbounded | Calibration_Method | |
| Calibration_Method_Parameter | 0..Unbounded | Calibration_Method_Parameter | |
| Trained_Model_File | 1..Unbounded | Trained_Model_File | |
| Referenced from: Machine_Learning | |||