SmDiscriminantAnalysis

Assembly: Stat;

Namespace: Prognoz.Platform.Interop.Stat;

Description

The SmDiscriminantAnalysis class is used for data mining using the Discriminatory Analysis method.

Comments

This method finds a linear combination of variables which best separate (discriminate) two or more classes.

Fore.NET Syntax

Class used to get an analogue of the class SmDiscriminantAnalysis:

None.

The class used to get an analogue for the object of the class SmDiscriminantAnalysis:

SmDiscriminantAnalysisClass;

Class object properties inherited from ISmDiscriminantAnalysis

  Property name Brief description
The ClassCount property returns the number of classes obtained as the result of method calculation.
The ClassificationSummary property returns summary classification matrix.
The EigenValues property returns the eigenvalues.
Outdated. Use IDataMining.FilledDependent.
The FishersFuncs property returns Fisher functions.
The NonStdDiscriminantFuncs property returns non-standardized coefficients of canonical discriminant functions.
The PooledWithinCorrelation property returns pooled intraclass correlation forn each explanatory series.
The PooledWithinCovariance property returns pooled intraclass covariance for each of the explanatory series.
The RelevanceMeasure property returns binary classification quality criteria.
The StdDiscriminantFuncs property returns standardized coefficients of canonical discriminant functions.
The StructuralMatrix property returns the structural matrix.
The TotalAverage property returns the total average for each of the explanatory series.
The TotalCorrelation property returns total correlation for each of the explanatory series.
The TotalCovariance property returns total covariance for each of the explanatory series.
The TotalStdDev property returns common standard deviation for each of the explanatory series.
The WilkesStatistics property returns the Wilkes statistics.
The WithinAverage property returns intraclass average for each of the explanatory series.
The WithinCorrelation property returns intraclass correlation for each of the explanatory series.
The WithinCovariance property returns intraclass covariance for each of the explanatory series.
The WithinStdDev property returns intraclass standard deviation for each of the explanatory series.

Class object properties inherited from IDataMining

  Property name Brief description
The Dependent property returns explained series.
Outdated. Use IDataMining.Dependent.
The Explanatories property returns a collection of classification attributes.
The FilledDependent property returns a series with calculation results.

Class object properties inherited from IStatMethodValid

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

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

Methods of class object 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