Assembly: Stat;
The ISmGradientBoostedTree interface is used to set up parameters of gradient boosting calculation.
ISmGradientBoostedTree
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.
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. |
Property name | Brief description | |
CrossValidation | The CrossValidation property returns cross-validation settings. | |
PerformanceScores | The PerformanceScores property returns cross-validation results. |
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. |
Method name | Brief description | |
ExecuteValidation | The ExecuteValidation method executes cross-validation. |
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: