SmGradientBoostedTree

Assembly: Stat;

Description

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.

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

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

The PerformanceScores property returns cross-validation results.

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 on method calculation.
WarningsCount The WarningsCount property returns the number of warnings that occurred on method calculation.
WarningsNumbers The WarningsNumbers property returns numbers of the warnings that occurred on method calculation.

Class object methods inherited from IStatMethodValid

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

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.

See also:

Stat Assembly Classes