Provider Class Reference

Inheritance diagram for Provider:

Collaboration diagram for Provider:

Static Public Attributes
	PROVIDERNAME = None
	Provider name.
Static Public Attributes inherited from Provider
	DEFAULTPROVIDER = None
	Default provider name.
	PROVIDERNAME = None
	Provider name.
	SQLTYPE = None
	Type of SQL TRAIN will operate on Options are "resutset" or "query". More...
Static Public Attributes inherited from RegisteredObject
	CAPTION = None
	Optional name used by the Form Wizard for a class when generating forms. More...
	JAVATYPE = None
	The Java type to be used when exported.
	PROPERTYVALIDATION = None
	This parameter controls the default validation behavior for the object. More...

Private Member Functions
_.Library.Status	BeginTraining (_.ML.Model model, _.SQL.StatementResult data, _.ML.TrainingRun trainingrun, _.Library.String name, trainkey)
	Train an ML model.

Additional Inherited Members
Public Member Functions inherited from RegisteredObject
_.Library.Status	OnAddToSaveSet (_.Library.Integer depth, _.Library.Integer insert, _.Library.Integer callcount)
	This callback method is invoked when the current object is added to the SaveSet,. More...
_.Library.Status	OnConstructClone (_.Library.RegisteredObject object, _.Library.Boolean deep, _.Library.String cloned)
	This callback method is invoked by the <METHOD>ConstructClone</METHOD> method to. More...
_.Library.Status	OnNew ()
	This callback method is invoked by the <METHOD>New</METHOD> method to. More...
_.Library.Status	OnValidateObject ()
	This callback method is invoked by the <METHOD>ValidateObject</METHOD> method to. More...

Detailed Description

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: <class>DeepSee.PMML.Definition</class> 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