IDmGradientBoostedTrees

Assembly: Ms;

Description

The IDmGradientBoostedTree interface is used to set up calculation options 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 a machine-learning algorithm to solve regression and classification tasks based on decision tree ensemble. The algorithm is a gradual optimization of loss function using gradient descent method.

Properties

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

Properties inherited from IDmForestDetails

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

Properties inherited from IDmTargetDetails

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

Properties inherited from IDmAttributesDetails

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

Properties inherited from IDmMethodDetails

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings.
	DisplayName	The DisplayName property returns method name.
	InputDataSource	The InputDataSource property determines a input data source.
	StatMethod	The StatMethod property returns parameters of a statistical method used in analysis.

Methods inherited from IDmTemplateFillDetails

	Method name	Brief description
	FillTarget	The FillTarget method loads results of missing data substitution to data source.