CrossValidationResult (FsODE)

FsODE

Documentation for 0.0.2

CrossValidationResult Type

Namespace: Altaxo.Calc.Regression.Multivariate
Assembly: AltaxoCore.Redist.dll
Base Type: obj
All Interfaces: ICrossValidationResult

Stores the result(s) of cross validation.

Constructors

Constructor	Description
`CrossValidationResult(numberOfPoints, numberOfY, numberOfFactors, multipleSpectralResiduals)` Full Usage: `CrossValidationResult(numberOfPoints, numberOfY, numberOfFactors, multipleSpectralResiduals)` Parameters: numberOfPoints : `int` numberOfY : `int` numberOfFactors : `int` multipleSpectralResiduals : `bool`	numberOfPoints : `int` numberOfY : `int` numberOfFactors : `int` multipleSpectralResiduals : `bool`

Instance members

Instance member	Description
`this.CrossPRESS` Full Usage: `this.CrossPRESS` Returns: `IROVector<float>` Modifiers: abstract	Get the cross PRESS vector. Returns: `IROVector<float>`
`this.CrossPRESSW` Full Usage: `this.CrossPRESSW` Returns: `IROVector<float>`	Get the cross PRESS vector. Returns: `IROVector<float>`
`this.GetPredictedY` Full Usage: `this.GetPredictedY` Parameters: numberOfFactor : `int` - Number of factors to use for prediction. Returns: `IROMatrix<float>` The matrix of predicted y.(Columns=number of concentrations, rows=Number of points). Modifiers: abstract	Gets the predicted y values for cross validation. numberOfFactor : `int` Number of factors to use for prediction. Returns: `IROMatrix<float>` The matrix of predicted y.(Columns=number of concentrations, rows=Number of points).
`this.GetPredictedYW` Full Usage: `this.GetPredictedYW` Parameters: numberOfFactor : `int` - Number of factors to use for prediction. Returns: `IMatrix<float>` The matrix of predicted y.(Columns=number of concentrations, rows=Number of points).	Gets the predicted y values for cross validation. numberOfFactor : `int` Number of factors to use for prediction. Returns: `IMatrix<float>` The matrix of predicted y.(Columns=number of concentrations, rows=Number of points).
`this.GetSpectralResidual` Full Usage: `this.GetSpectralResidual` Parameters: numberOfFactor : `int` - Number of factors to use for calculation. Returns: `IROMatrix<float>` The matrix of spectral residuals. (rows=Number of points). Modifiers: abstract	Gets the spectral residuals for cross validation. numberOfFactor : `int` Number of factors to use for calculation. Returns: `IROMatrix<float>` The matrix of spectral residuals. (rows=Number of points).
`this.GetSpectralResidualW` Full Usage: `this.GetSpectralResidualW` Parameters: numberOfFactor : `int` - Number of factors to use for calculation. Returns: `IMatrix<float>` The matrix of spectral residuals. (rows=Number of points).	Gets the spectral residuals for cross validation. numberOfFactor : `int` Number of factors to use for calculation. Returns: `IMatrix<float>` The matrix of spectral residuals. (rows=Number of points).
`this.MeanNumberOfExcludedSpectra` Full Usage: `this.MeanNumberOfExcludedSpectra` Returns: `float` Modifiers: abstract	Returns the mean number of excluded spectra during cross validation. Returns: `float`