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%DeepSee.PMML.Builder.AbstractBuilder

Class %DeepSee.PMML.Builder.AbstractBuilder Extends %SerialObject [ System = 4 ]

Parameters​

MODELCLASSNAME​

Parameter MODELCLASSNAME As CLASSNAME;

Properties​

Dataset​

Property Dataset As %DeepSee.PMML.Dataset [ Transient ];

TargetField​

Property TargetField As %String;

Description​

Property Description As %String;

ModelName​

Property ModelName As %String [ Required ];

FunctionName​

Property FunctionName As %String [ InitialExpression = "classification" ];

AlgorithmName​

Property AlgorithmName As %String;

OutputProbability​

Property OutputProbability As %Boolean [ InitialExpression = 1 ];

DataSources​

Property DataSources As list Of %DeepSee.PMML.Definition.Extension.DataSource;

Methods​

GeneratePMML​

Method GeneratePMML(Output pPMML As %DeepSee.PMML.Definition.PMML) As %Status [ Final ]

AppendModel​

Method AppendModel(ByRef pPMML As %DeepSee.PMML.Definition.PMML, pAddUnknownFields As %Boolean = 1) As %Status [ Final ]

BuildModel​

Method BuildModel(ByRef pModel As %DeepSee.PMML.Definition.Models.AbstractModel) As %Status [ Abstract, Private ]

AddDataSourceCube​

Method AddDataSourceCube(pName As %String, pCubeName As %String, ByRef pFieldMap, pFilter As %String = "") As %Status

Registers an additional DeepSee-based Data Source so it will be added to the generated PMML's DataDictionary section and can subsequently be used for validation purposes. Expected field mapping format: pFieldMap([fieldName]) = [DeepSee spec]

AddDataSourceSQL​

Method AddDataSourceSQL(pName As %String, pSQL As %String, ByRef pFieldMap, pIdField As %String = "") As %Status

Registers an additional SQL-based Data Source so it will be added to the generated PMML's DataDictionary section and can subsequently be used for validation purposes. Expected field mapping format: pFieldMap([fieldName]) = [column name]