MultivariateRegressionPreprocessSpectraForPrediction(ISingleSpectrumPreprocessor, IEnsembleMeanScalePreprocessor, Double, IROMatrixDouble, IReadOnlyListDouble, IReadOnlyListDouble, Double, IMatrixDouble) Method

public static void PreprocessSpectraForPrediction(
	ISingleSpectrumPreprocessor preprocessSingleSpectrum,
	IEnsembleMeanScalePreprocessor preprocessEnsembleOfSpectra,
	double[] xOfXRaw,
	IROMatrix<double> matrixXRaw,
	IReadOnlyList<double> meanX,
	IReadOnlyList<double> scaleX,
	out double[] xOfXPre,
	out IMatrix<double> matrixXPre
)

Parameters

preprocessSingleSpectrum  ISingleSpectrumPreprocessor

Information how to preprocess the spectra, here: how to process each spectrum separately.

preprocessEnsembleOfSpectra  IEnsembleMeanScalePreprocessor

Information how to preprocess the spectra, here: how to process the spectra ensemble.

xOfXRaw  Double

The x-values (wavelength, frequency etc.) of the spectra (needed for preprocessing).

matrixXRaw  IROMatrixDouble

Matrix of preprocessed spectra (number of observations, number of wavelengths).

meanX  IReadOnlyListDouble

Contains the mean spectrum, calculated during the analysis stage.

scaleX  IReadOnlyListDouble

Contains the scaling factor for each spectral slot, calculated during the analysis stage.

xOfXPre  Double

On return, contains the x-values of the preprocessed spectra.

matrixXPre  IMatrixDouble

On return, contains the matrix of preprocessed spectra (each spectrum is a row in the matrix).

Reference