Assembly: Stat;
Namespace: Prognoz.Platform.Interop.Stat;
The ISmDiscriminantAnalysis interface is used for data mining using the Discriminatory Analysis method.
ISmDiscriminantAnalysis
This method finds a linear combination of variables which best separate (discriminate) two or more classes.
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. | ||
The FinallyExplained property returns summary classification of the objects. | ||
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. |
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Outdated.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. |
Property name | Brief description | |
CrossValidation | The CrossValidation property returns cross-validation settings. | |
The PerformanceScores property returns cross-validation results. |
Property name | Brief description | |
The DisplayName property returns the displayed method name. | ||
The ErrorByStatus property returns an error message by the error number. | ||
The Errors property returns a message with all the errors and warnings. | ||
The Name property returns the internal method name. | ||
The PerformanceTime property returns method execution time. | ||
The Status property returns the method execution status. | ||
The SupportsR property returns whether statistical method can be calculated via R package. | ||
The UseR property determines whether statistical method is calculated via the R package. | ||
The WarningByStatus property returns a warning text by its number. | ||
The Warnings property returns the warnings that occurred at method calculation. | ||
The WarningsCount property returns the number of warnings that occurred at the method calculation. | ||
The WarningsNumbers property returns numbers of warnings that occurred at the method calculation. |
Method name | Brief description | |
The ExecuteValidation method executes cross-validation. |
Method Name | Brief description | |
The Clone method clones a statistical method object. | ||
The Execute method executes a statistical method. | ||
The LoadFromXML method loads statistical method settings from XML code. | ||
The SaveToXML method unloads statistical method settings to XML code. |
See also: