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 | |
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The ClassCount property returns the number of classes obtained as the result of method calculation. | |
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The ClassificationSummary property returns summary classification matrix. | |
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The EigenValues property returns the eigenvalues. | |
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The FinallyExplained property returns summary classification of the objects. | |
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The FishersFuncs property returns Fisher functions. | |
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The NonStdDiscriminantFuncs property returns non-standardized coefficients of canonical discriminant functions. | |
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The PooledWithinCorrelation property returns pooled intraclass correlation forn each explanatory series. | |
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The PooledWithinCovariance property returns pooled intraclass covariance for each of the explanatory series. | |
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The RelevanceMeasure property returns binary classification quality criteria. | |
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The StdDiscriminantFuncs property returns standardized coefficients of canonical discriminant functions. | |
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The StructuralMatrix property returns the structural matrix. | |
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The TotalAverage property returns the total average for each of the explanatory series. | |
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The TotalCorrelation property returns total correlation for each of the explanatory series. | |
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The TotalCovariance property returns total covariance for each of the explanatory series. | |
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The TotalStdDev property returns common standard deviation for each of the explanatory series. | |
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The WilkesStatistics property returns the Wilkes statistics. | |
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The WithinAverage property returns intraclass average for each of the explanatory series. | |
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The WithinCorrelation property returns intraclass correlation for each of the explanatory series. | |
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The WithinCovariance property returns intraclass covariance for each of the explanatory series. | |
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The WithinStdDev property returns intraclass standard deviation for each of the explanatory series. |
Property name | Brief description | |
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The Dependent property returns explained series. | |
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Outdated. Use IDataMining.Dependent. | |
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The Explanatories property returns a collection of classification attributes. | |
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The FilledDependent property returns a series with calculation results. |
Property name | Brief description | |
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CrossValidation | The CrossValidation property returns cross-validation settings. |
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The PerformanceScores property returns cross-validation results. |
Property name | Brief description | |
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The DisplayName property returns the displayed method name. | |
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The ErrorByStatus property returns an error message by the error number. | |
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The Errors property returns a message with all the errors and warnings. | |
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The Name property returns the internal method name. | |
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The PerformanceTime property returns method execution time. | |
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The Status property returns the method execution status. | |
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The SupportsR property returns whether statistical method can be calculated via R package. | |
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The UseR property determines whether statistical method is calculated via the R package. | |
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The WarningByStatus property returns a warning text by its number. | |
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The Warnings property returns the warnings that occurred at method calculation. | |
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The WarningsCount property returns the number of warnings that occurred at the method calculation. | |
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The WarningsNumbers property returns numbers of warnings that occurred at the method calculation. |
Method name | Brief description | |
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The ExecuteValidation method executes cross-validation. |
Method Name | Brief description | |
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The Clone method clones a statistical method object. | |
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The Execute method executes a statistical method. | |
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The LoadFromXML method loads statistical method settings from XML code. | |
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The SaveToXML method unloads statistical method settings to XML code. |
See also: