Class %ML.PMML.Provider

class %ML.PMML.Provider extends %ML.Provider

This Provider does not train models based on a dataset, but can be used to import a model built elsewhere and exported to the Predictive Modeling Markup Language standard, as supported in InterSystems IRIS.

Supported USING parameters:

class_name: %DeepSee.PMML.Definition subclass containing the PMML definition
file_name: directory path to a file containing the PMML definition
model_name: if the PMML definition contains multiple models, optinally specify the name of the one to use

Either class_name or file_name must be provided. model_name is optional

Inventory

Parameters	Properties	Methods	Queries	Indices	ForeignKeys	Triggers
1		2

Summary

Methods
%AddToSaveSet	%BeginTraining	%ClassIsLatestVersion	%ClassName
%ConstructClone	%CreateProvider	%DispatchClassMethod	%DispatchGetModified
%DispatchGetProperty	%DispatchMethod	%DispatchSetModified	%DispatchSetMultidimProperty
%DispatchSetProperty	%Extends	%GetDefaultSettings	%GetName
%GetParameter	%GetProvider	%GetTrainStatement	%IsA
%IsModified	%New	%NormalizeObject	%ObjectModified
%OnClose	%OnExit	%OnInit	%OriginalNamespace
%PackageName	%RemoveFromSaveSet	%SerializeObject	%SetModified
%ValidateObject	%WaitForTraining

Parameters

• parameter PROVIDERNAME = "PMML";

Provider name

Methods

• method %BeginTraining(model As %ML.Model, data As %SQL.StatementResult, trainingrun As %ML.TrainingRun, ByRef name As %String = "", ByRef trainkey) as %Status

Train an ML model

• method %WaitForTraining(ByRef trainkey, trainingrun As %ML.TrainingRun, ByRef trainedmodel As %ML.TrainedModel, timeoutMS As %Integer = -1) as %Status

Check for training complete


[USER] > [%ML] > [PMML] > [Provider]		Private Storage