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 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| Outdated.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 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: