IDmGradientBoostedTrees

Assembly: Ms;

Namespace: Prognoz.Platform.Interop.Ms;

Description

The IDmGradientBoostedTree interface is used to set up calculation parameters of the Gradient Boosting algorithm of the Decision Tree Ensembles method on data mining.

Inheritance Hierarchy

IDmMethodDetails

IDmAttributesDetails

IDmTargetDetails

IDmTemplateFillDetails

IDmForestDetails

IDmGradientBoostedTrees

Comments

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

Methods inherited from IDmForestDetails

	Property name	Brief description
	TreeSizeSpecification	The TreeSizeSpecification property returns tree specification.

Methods inherited from IDmTemplateFillDetails

	Method name	Brief description
	FillTarget	The FillTarget method unloads missing data treatment results into the data source

Properties inherited from IDmTargetDetails

	Property name	Brief description
	Target	The Target property determines the field index of the data source, containing analyzed information.

Properties inherited from IDmAttributesDetails

	Property name	Brief description
	Attributes	The Attributes property determines the field indexes of the data source, containing factors for the analysis.

Properties inherited from IDmMethodDetails

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings
	DisplayName	The DisplayName property returns the method name.
	StatMethod	The StatMethod property returns statistical method parameters used in analysis.

Properties

	Property name	Brief description
	LearningRate	The LearningRate property determines learning rate.
	NumberOfIterations	The NumberOfIterations property determines the number of iterations.