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%DeepSee.PMML.Model.GeneralRegression

Class %DeepSee.PMML.Model.GeneralRegression Extends AbstractModel [ Abstract, System = 4 ]

Parameters​

TRACEWEIGHTTYPE​

Parameter TRACEWEIGHTTYPE = "add";

SUPPORTSSIMPLEMODE​

Parameter SUPPORTSSIMPLEMODE [ Internal ] = 1;

Properties​

Parameters​

Property Parameters [ MultiDimensional ];

Based on ..Parameters(paramName) = label

PPMatrix​

Property PPMatrix [ MultiDimensional ];

Based on ..PPMatrix(paramName, predictorName) = value

Predictors​

Property Predictors [ MultiDimensional ];

Based on and ..Predictors(paramName) = [factor|covariate]

ParamMatrix​

Property ParamMatrix [ MultiDimensional ];

Based on ..ParamMatrix(targetValue, paramName) = beta

ContrastMatrices​

Property ContrastMatrices [ MultiDimensional ];

..ContrastMatrices(predictor, row, col)

TraceWeights​

Property TraceWeights [ Internal, MultiDimensional ];

Methods​

CalculateXBeta​

Method CalculateXBeta(ByRef pObservation As %DeepSee.PMML.ModelInput, Output pXBeta, Output pBestTarget As %String = "", Output pBestScore As %Double = "", pAddZero As %String = "") As %Status [ Abstract ]

%CreateModelClass​

ClassMethod %CreateModelClass(pClass As %Dictionary.ClassDefinition, pDefinition As %DeepSee.PMML.Definition.Models.AbstractModel) As %Status [ Internal ]

%GetPredictedFieldFromDef​

ClassMethod %GetPredictedFieldFromDef(pDefinition As %DeepSee.PMML.Definition.Models.AbstractModel) As %String [ Internal ]

%OnGetOutputFeature​

ClassMethod %OnGetOutputFeature(pMethod As %Stream.Object, pDefinition As %DeepSee.PMML.Definition.Models.AbstractModel, pOutputField As %DeepSee.PMML.Definition.OutputField, ByRef pFeatureValueVar As %String, Output pSupported As %Boolean) As %Status [ Internal, Private ]