Trained_Machine_Learning_Model

Name: Trained_Machine_Learning_ModelVersion 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: mlSteward: imgRole: TBD_roleStatus: Active
Class Hierarchy: Trained_​Machine_​Learning_​Model
Attribute(s)NameCardinalityValue
 trained_​model_​version_​id1..1None
 trained_​model_​name1..1None
 trained_​model_​creation_​date1..1None
Association(s)NameCardinalityClass
 Machine_​Learning_​Algorithm1..1Machine_​Learning_​Algorithm
 Training_​Set1..1Training_​Set
 Validation_​Set0..1Validation_​Set
 Test_​Set0..1Test_​Set
 Test_​Performance0..UnboundedTest_​Performance
 Optimization_​Algorithm1..UnboundedOptimization_​Algorithm
 Optimization_​Algorithm_​Parameter 1..UnboundedOptimization_​Algorithm_​Parameter
 Trained_​Model_​Hyperparameter1..UnboundedTrained_​Model_​Hyperparameter
 Trained_​Model_​Architecture0..UnboundedTrained_​Model_​Architecture
 Calibration_​Method0..UnboundedCalibration_​Method
 Calibration_​Method_​Parameter0..UnboundedCalibration_​Method_​Parameter
 Trained_​Model_​File1..UnboundedTrained_​Model_​File
Referenced from: Machine_​Learning