Uses of Class
ambit2.groupcontribution.utils.math.MatrixDouble

Packages that use MatrixDouble

Package	Description
ambit2.groupcontribution.fragmentation
ambit2.groupcontribution.utils.math

Uses of MatrixDouble in ambit2.groupcontribution.fragmentation

Methods in ambit2.groupcontribution.fragmentation that return MatrixDouble

Modifier and Type	Method and Description
static MatrixDouble	Fragmentation.generateCorrectionFactorMatrix(DataSet dataset, GroupContributionModel gcm)
static MatrixDouble	Fragmentation.generateFragmentationMatrix(DataSet dataset, GroupContributionModel gcm)
static MatrixDouble	Fragmentation.generateMultiplePropertyMatrix(DataSet dataset, List<String> properties)
static MatrixDouble	Fragmentation.generateMultiplePropertyMatrix2(DataSet dataset, List<DescriptorInfo> diList)
static MatrixDouble	Fragmentation.generatePropertyMatrix(DataSet dataset, String property)

Uses of MatrixDouble in ambit2.groupcontribution.utils.math

Methods in ambit2.groupcontribution.utils.math that return MatrixDouble

Modifier and Type	Method and Description
static MatrixDouble	ApplicabilityDomain.calculateHMatrixUsingInvC(MatrixDouble invC, MatrixDouble At)
MatrixDouble	MatrixDouble.inverse(double eps)
MatrixDouble	MatrixDouble.makeMatrixFromRows(int[] rowIndices)
static MatrixDouble[]	CrossValidation.makeValidationModelMatrices(int[] testObjIndices, MatrixDouble A, MatrixDouble b, MatrixDouble D)
static MatrixDouble[]	CrossValidation.makeValidationTestMatrices(int[] testObjIndices, MatrixDouble A, MatrixDouble b, MatrixDouble D)
static MatrixDouble	MathUtilities.Multiply(MatrixDouble m1, MatrixDouble m2)
MatrixDouble	MatrixDouble.transposed()

Methods in ambit2.groupcontribution.utils.math with parameters of type MatrixDouble

Modifier and Type	Method and Description
static MatrixDouble	ApplicabilityDomain.calculateHMatrixUsingInvC(MatrixDouble invC, MatrixDouble At)
static double	MathUtilities.columnsScProd(MatrixDouble m1, int col1, MatrixDouble m2, int col2)
void	MatrixDouble.copyColumnFrom(int destColumn, MatrixDouble sourceMatr, int sourceColumn)
void	MatrixDouble.copyRowFrom(int destRow, MatrixDouble sourceMatr, int sourceRow)
static double	Statistics.corrleationCoefficient(MatrixDouble m1, MatrixDouble m2)
static double	Statistics.getConcordanceCorrelationCoefficient(MatrixDouble m1, MatrixDouble m2)
static double	Statistics.getF(MatrixDouble y, MatrixDouble y_model, int p)
static double	Statistics.getQ2F1(MatrixDouble y, MatrixDouble y_model, double y_training_mean)
static double	Statistics.getQ2F2(MatrixDouble y, MatrixDouble y_model)
static double	Statistics.getQ2F3(MatrixDouble y, MatrixDouble y_model, MatrixDouble y_training)
static double	Statistics.getR2(MatrixDouble y, MatrixDouble y_model)
static double	Statistics.getRSS(MatrixDouble m1, MatrixDouble m2)
static double	Statistics.getTSS(MatrixDouble m1, double meanValue)
static MatrixDouble[]	CrossValidation.makeValidationModelMatrices(int[] testObjIndices, MatrixDouble A, MatrixDouble b, MatrixDouble D)
static MatrixDouble[]	CrossValidation.makeValidationTestMatrices(int[] testObjIndices, MatrixDouble A, MatrixDouble b, MatrixDouble D)
static double	Statistics.mean(MatrixDouble m)
static double	Statistics.meanAbsoluteError(MatrixDouble m1, MatrixDouble m2)
static MatrixDouble	MathUtilities.Multiply(MatrixDouble m1, MatrixDouble m2)
void	MatrixDouble.paste(MatrixDouble m)
static double	Statistics.rmsError(MatrixDouble m1, MatrixDouble m2)
static double	Statistics.standardError(MatrixDouble m1, MatrixDouble m2, int p)

Constructors in ambit2.groupcontribution.utils.math with parameters of type MatrixDouble

Constructor and Description
MatrixDouble(MatrixDouble m)