SmGradientBoostedTree

The SmGradientBoostedTree class is used to set up parameters of gradient boosting calculation.

Comments

Gradient boosting is a machine learning algorithm to solve problems of regression and classification based on decision tree ensemble. Algorithm is a gradual optimization of loss function using gradient descent method.

Fore.NET Syntax

Class object properties inherited from ISmGradientBoostedTree

	Property name	Brief description
	CategoriesList	The CategoriesList property returns a list of explained series categories.
	ClassificationSummary	The ClassificationSummary property returns summary results of classification.
	Dependent	The Dependent property returns explained series.
	ExplanatoriesCategorical	The ExplanatoriesCategorical property returns explanatory categorical series.
	ExplanatoriesContinuous	The ExplanatoriesContinuous property determines explanatory quantitative series.
	ExplanatoriesOrdered	The ExplanatoriesOrdered property determines explanatory ordinal series.
	FilledDependent	The FilledDependent property returns resulting classification.
	LearningRate	The LearningRate property determines learning rate.
	NumberOfIterations	The NumberOfIterations property determines the number of iterations.
	PseudoProbability	The PseudoProbability property returns posterior probabilities.
	RelevanceMeasure	The RelevanceMeasure property returns binary classification quality criteria.
	ROCcurve	The ROCcurve property returns ROC curve parameters.
	Trees	The Trees property returns tree array.
	TreeSizeSpecification	The TreeSizeSpecification property returns parameters describing tree size.

Class object properties inherited from IStatMethodValid

Class object properties inherited from IStatMethod

	Property name	Brief description
	DisplayName	The DisplayName property returns the displayed method name.
	ErrorByStatus	The ErrorByStatus property returns an error message by the error number.
	Errors	The Errors property returns a message with all the errors and warnings.
	Name	The Name property returns the internal method name.
	PerformanceTime	The PerformanceTime property returns method execution time.
	Status	The Status property returns the method execution status.
	SupportsR	The SupportsR property returns whether statistical method can be calculated via R package.
	UseR	The UseR property determines whether statistical method is calculated via the R package.
	WarningByStatus	The WarningByStatus property returns a warning text by its number.
	Warnings	The Warnings property returns the warnings that occurred at method calculation.
	WarningsCount	The WarningsCount property returns the number of warnings that occurred at the method calculation.
	WarningsNumbers	The WarningsNumbers property returns numbers of warnings that occurred at the method calculation.

Class object methods inherited from IStatMethodValid

Class object methods inherited from IStatMethod

	Method Name	Brief description
	Clone	The Clone method clones a statistical method object.
	Execute	The Execute method executes a statistical method.
	LoadFromXML	The LoadFromXML method loads statistical method settings from XML code.
	SaveToXML	The SaveToXML method unloads statistical method settings to XML code.

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings.
	PerformanceScores	The PerformanceScores property returns cross-validation results.

	Method name	Brief description
	ExecuteValidation	The ExecuteValidation method executes cross-validation.