Uses of Class
com.actelion.research.calc.Matrix
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Uses of Matrix in com.actelion.research.calc
Methods in com.actelion.research.calc that return Matrix Modifier and Type Method Description Matrix
Matrix. add(double v)
Matrix
Matrix. add2CompleteCol(Matrix maRow)
The value in the col from the input matrix is added to all values in the corresponding col in the matrix.static Matrix
MatrixFunctions. appendCols(Matrix ma0, Matrix ma1)
static Matrix
MatrixFunctions. appendRows(Matrix ma0, Matrix ma1)
static Matrix
MatrixFunctions. appendRows(java.util.List<Matrix> liMatrix)
static Matrix
MatrixFunctions. calculateSimilarityMatrixRowWise(Matrix X1, Matrix X2)
static Matrix
MatrixFunctions. cholesky(Matrix A)
static Matrix
MatrixFunctions. convert2Binary(Matrix A, double thresh)
Matrix
Matrix. correlation()
Generate a correlation matrix, each column contains values of a pulling.static Matrix
MatrixFunctions. countFieldsBiggerThanThreshColWise(Matrix ma, double thresh)
Matrix
Matrix. covariance()
Generate a covariance matrix, each column contains values of a pulling.static Matrix
MatrixFunctions. create(java.util.List<double[]> li)
List is already used as a constructor for Matrix.Matrix
Matrix. devide(double dDivisor)
Matrix
Matrix. devide(Matrix maDivisor)
Matrix
Matrix. devideCols(Matrix maDivisor)
Matrix
Matrix. devideDivisorBigger(Matrix maDivisor)
Matrix
Matrix. diagonalize()
Matrix
Matrix. getAbs()
Matrix
Matrix. getCenteredMatrix()
Matrix
Matrix. getCenteredMatrix(Matrix maMean)
Matrix
Matrix. getCol(int col)
Matrix
Matrix. getColumns(int[] arrIndex)
Matrix
Matrix. getColumns(java.util.List<java.lang.Integer> liIndex)
Matrix
Matrix. getColumns(java.util.Vector<java.lang.Integer> vecIndices)
Deprecated.use getColumns(ListvecIndices) instead Matrix
Matrix. getDeleteColsZeroVar(java.util.List<java.lang.Integer> vecIndices)
Deletes columns with zero variance.Matrix
Matrix. getDiagonal()
Matrix diagonal extraction.static Matrix
MatrixFunctions. getDistanceMatrix(java.util.List<java.awt.Point> li)
static Matrix
MatrixFunctions. getDistanceMatrixTanimotoInv(Matrix ma1, Matrix ma2)
Calculates the inverse Tanimoto coefficient from row wise comparison of the two input matrices.static Matrix
MatrixFunctions. getDistTanimotoInvReduced(Matrix ma1, Matrix ma2)
Matrix
Matrix. getFlipped()
Opposite direction to transpose.static Matrix
MatrixFunctions. getKMeanClusters(Matrix ma, int k)
03.10.04 MvKMatrix
LUDecomposition. getL()
Return lower triangular factorMatrix
Matrix. getLinedCol()
Matrix
Matrix. getMatrix(int[] r, int[] c)
Get a submatrix.Matrix
Matrix. getMatrix(int[] r, int j0, int j1)
Get a submatrix.Matrix
Matrix. getMatrix(int i0, int i1, int[] c)
Get a submatrix.Matrix
Matrix. getMatrix(int i0, int i1, int j0, int j1)
Matrix
Matrix. getMaxMin()
max and min vals for all colsMatrix
Matrix. getMeanCols()
Matrix
Matrix. getMeanCols(int[] rowIndex)
Matrix
Matrix. getMeanRows()
Matrix
Matrix. getMedianCols()
Matrix
Matrix. getMergeRows(Matrix ma)
Matrix
Matrix. getMinRows()
Matrix
Matrix. getMinRowsPosCol()
Matrix
Matrix. getNormalizedMatrix()
Matrix
Matrix. getNormalizedMatrix(Matrix maStandardDeviation)
static Matrix
Matrix. getParsed(java.util.Vector<java.lang.String> vecStringMatrix)
Parses an vector with Strings and converts it to a Matrix.static Matrix
MatrixFunctions. getRandomMatrix(int rows, int cols)
generates a matrix with double values between 0 (inclusive) and 1 (exclusive).static Matrix
Matrix. getRND(int rows, int cols)
static Matrix
MatrixFunctions. getRowMinUnique(Matrix ma)
static Matrix
MatrixFunctions. getScaled(Matrix ma)
Centers and divides by standard deviation.static Matrix
MatrixFunctions. getScaledByFactor(Matrix ma, double fac)
Matrix
SimilarityMulticore. getSimilarityMatrix()
Matrix
Matrix. getSorted()
Sorts the row of the matrix according the compareTo(...) function in DoubleVecMatrix
Matrix. getSQRT()
Matrix
Matrix. getStandardDeviationCols()
Matrix
Matrix. getStandardized()
Get the standard scores, also known as z-scores.Matrix
Matrix. getSubMatrix(int indexRowStart, int indexRowEnd, int indexColStart, int indexColEnd)
Matrix
Matrix. getSubMatrix(java.util.List<java.lang.Integer> liIndexRow)
Matrix
Matrix. getSumCols()
Matrix
Matrix. getSumRows()
Matrix
Matrix. getTranspose()
Matrix
LUDecomposition. getU()
Return upper triangular factorMatrix
Matrix. getVarianceCols()
static Matrix
MatrixFunctions. inv(Matrix A)
Returns the inverse of a matrix.Matrix
Matrix. log()
Log function from the class Math .Matrix
Matrix. multCols(Matrix maMuiltiplicant)
Matrix
Matrix. multiply(boolean transA, boolean transB, Matrix ma)
Multiplication of two matrices.Matrix
Matrix. multiply(double dScalar)
Matrix
Matrix. multiply(Matrix ma)
Matrix
Matrix. multiplyValByVal(Matrix ma)
Value by value multiplication Matrices must have the same dimensions.protected static Matrix
MatrixTests. pls(Matrix X, Matrix Y, java.lang.String sPatternHeaderX, int iNumPrincipalComponents, boolean bLogarithm, java.lang.String sFileDataSummaryOut)
Matrix
Matrix. plus(Matrix ma)
Matrix
Matrix. pow(double exp)
static Matrix
MatrixFunctions. read(java.io.File fiMatrix)
static Matrix
MatrixFunctions. read(java.io.File fiMatrix, boolean skipFirstLine)
static Matrix
MatrixFunctions. read(java.io.InputStream is)
static Matrix
MatrixFunctions. read(java.io.InputStream is, boolean skipFirstLine)
static Matrix
MatrixFunctions. read(java.lang.String s)
static Matrix
MatrixFunctions. readAsLineBase64Encoded(java.lang.String s)
static Matrix
MatrixFunctions. readCSV(java.io.File fi)
static Matrix
Matrix. readSerialized(java.io.File fiIn)
Matrix
Matrix. removeCol(int col2Remove)
static Matrix
BoxCox. reTransform(Matrix A, BoxCox boxCox)
static Matrix
MatrixFunctions. rnorm(int n, double mean, double sd)
Matrix
Matrix. row2Matrix(int row, int len)
Matrix
LUDecomposition. solve(Matrix B)
Solve A*X = Bstatic Matrix[]
MatrixFunctions. split(Matrix A, int row)
Splits the matrix row wise into two matrices.static Matrix[]
MatrixFunctions. splitCol(Matrix A, int col)
Matrix
Matrix. subtract(double val)
Matrix
Matrix. subtract(Matrix ma)
Matrix
Matrix. subtractFromCols(Matrix maDivisor)
static Matrix
MatrixTests. test00()
static Matrix
MatrixTests. test01()
static Matrix
MatrixTests. test02()
static Matrix
MatrixTests. test03()
static Matrix
MatrixTests. test04()
static Matrix
MatrixTests. test05()
static Matrix
MatrixTests. test06()
static Matrix
MatrixTests. test07()
static Matrix
MatrixTests. test08()
static Matrix
MatrixTests. testDescriptor01X()
static Matrix
MatrixTests. testDescriptor01Y()
static Matrix
MatrixTests. testLonglyX()
http://itl.nist.gov/div898/strd/lls/data/LINKS/DATA/Longley.datstatic Matrix
MatrixTests. testLonglyY()
http://www.itl.nist.gov/div898/strd/lls/data/Longley.shtml Y Matrixstatic Matrix
MatrixTests. testMatrix_XWine()
static Matrix
MatrixTests. testMatrix_YWine()
Validation data for PLS from Abdi, PLS, Encyclopedia of Social Sciences Reasearch Methods (2003).static Matrix
MatrixTests. testMatrix02()
static Matrix
MatrixTests. testMatrixHenrion01()
static Matrix
MatrixTests. testSimple1X(int cols)
static Matrix
MatrixTests. testSimple1Y()
static Matrix
MatrixTests. testSimple2X(int cols)
Matrix
Matrix. toRow()
static Matrix
BoxCox. transform(Matrix A, BoxCox boxCox)
Methods in com.actelion.research.calc with parameters of type Matrix Modifier and Type Method Description Matrix
Matrix. add2CompleteCol(Matrix maRow)
The value in the col from the input matrix is added to all values in the corresponding col in the matrix.void
Matrix. add2Row(int row, Matrix ma2, int row2)
static Matrix
MatrixFunctions. appendCols(Matrix ma0, Matrix ma1)
static Matrix
MatrixFunctions. appendRows(Matrix ma0, Matrix ma1)
void
Matrix. assignCol(int iCol, Matrix ma)
void
Matrix. assignCol(int iCol, Matrix ma, int iColMa)
static IntegerDouble
MatrixFunctions. calculateMaxSimilarity(Matrix X, double[] arr)
static IntegerDouble[]
MatrixFunctions. calculateMaxSimilarity(Matrix X, double[] arr, int nMostSimilar)
static double[]
MatrixFunctions. calculateMaxSimilarity(Matrix XTrain, Matrix Xtest)
static Matrix
MatrixFunctions. calculateSimilarityMatrixRowWise(Matrix X1, Matrix X2)
static Matrix
MatrixFunctions. cholesky(Matrix A)
static void
MatrixFunctions. columnIntoDoubleArray(Matrix A, int col, DoubleArray da)
static Matrix
MatrixFunctions. convert2Binary(Matrix A, double thresh)
void
Matrix. copy(int offsetRows, Matrix maSource)
This (target matrix) must have appropriate dimensions.void
Matrix. copy(Matrix maSource)
Copies a matrix ma into this, the pointer to ma1 is not changed.void
Matrix. copyColumn(Matrix maSource, int colSource, int colDestination)
static int
MatrixFunctions. countFieldsBiggerThan(Matrix ma, int row, double thresh)
static Matrix
MatrixFunctions. countFieldsBiggerThanThreshColWise(Matrix ma, double thresh)
static int
MatrixFunctions. countFieldsBiggerThanThreshColWise(Matrix ma, int col, double thresh)
static java.util.List<IdentifiedObject<double[]>>
MatrixFunctions. createIdentifiedObject(Matrix A)
Matrix
Matrix. devide(Matrix maDivisor)
Matrix
Matrix. devideCols(Matrix maDivisor)
Matrix
Matrix. devideDivisorBigger(Matrix maDivisor)
boolean
Matrix. equal(Matrix ma)
boolean
Matrix. equal(Matrix ma, double dLimit)
boolean
Matrix. equalDimension(Matrix ma)
Checks two matrices for equal dimensions.Matrix
Matrix. getCenteredMatrix(Matrix maMean)
static double
ArrayUtilsCalc. getCorrPearson(Matrix A, Matrix B)
static double
MatrixFunctions. getCorrPearson(Matrix A, int col1, int col2)
static double
MatrixFunctions. getCorrPearson(Matrix A, Matrix B)
static double
MatrixFunctions. getCorrSpearman(Matrix A, Matrix B)
static double
MatrixFunctions. getCovariance(Matrix A, Matrix B)
static double
MatrixFunctions. getCovarianceCentered(Matrix A, Matrix B)
static Matrix
MatrixFunctions. getDistanceMatrixTanimotoInv(Matrix ma1, Matrix ma2)
Calculates the inverse Tanimoto coefficient from row wise comparison of the two input matrices.static double
MatrixFunctions. getDistanceTanimotoInv(Matrix ma1, int row1, Matrix ma2, int row2)
static double
MatrixFunctions. getDistTanimotoInvReduced(Matrix ma1, int row1, Matrix ma2, int row2)
Only fields are considered which are not nut 0 in both or in one of the rows we from where the distance is calculated.static Matrix
MatrixFunctions. getDistTanimotoInvReduced(Matrix ma1, Matrix ma2)
static void
Matrix. getEigenvector(Matrix A, int n, Matrix D, Matrix E)
Householder reduction according num rec 11.2.double
Matrix. getEuclideanDistanceFastRows(int iRow, Matrix A, int iRowA)
Skipping the sqrt.static java.util.List<java.awt.Point>
MatrixFunctions. getIndicesUniqueMaxColumnWise(Matrix maIn)
static java.util.List<java.awt.Point>
MatrixFunctions. getIndicesUniqueMaxRowWise(Matrix maIn)
static Matrix
MatrixFunctions. getKMeanClusters(Matrix ma, int k)
03.10.04 MvKMatrix
Matrix. getMergeRows(Matrix ma)
static java.util.List<java.awt.Point>
MatrixFunctions. getMooreNeighborhood(java.awt.Point p, int r, Matrix ma)
static java.util.List<java.awt.Point>
MatrixFunctions. getMooreNeighborhood(java.awt.Point p, Matrix ma)
A square-shaped neighborhood that can be used to define a set of cells surrounding a given point.static IntVec
MatrixFunctions. getNonZeroCols(Matrix X)
Matrix
Matrix. getNormalizedMatrix(Matrix maStandardDeviation)
static java.util.List<java.awt.Point>
MatrixFunctions. getPoints(Matrix ma)
static Matrix
MatrixFunctions. getRowMinUnique(Matrix ma)
static Matrix
MatrixFunctions. getScaled(Matrix ma)
Centers and divides by standard deviation.static Matrix
MatrixFunctions. getScaledByFactor(Matrix ma, double fac)
static double
MatrixFunctions. getSumSquaredDiff(Matrix ma1, int row1, Matrix ma2, int row2)
static double
MatrixFunctions. getTotalSumSquaredDiffRowWise(Matrix ma1, Matrix ma2)
static Matrix
MatrixFunctions. inv(Matrix A)
Returns the inverse of a matrix.static boolean
MatrixFunctions. isEqualCol(Matrix A, int colA, Matrix B, int colB, double thresh)
static boolean
MatrixFunctions. isSquare(Matrix A)
static boolean
MatrixFunctions. isSymmetric(Matrix A)
Matrix
Matrix. multCols(Matrix maMuiltiplicant)
Matrix
Matrix. multiply(boolean transA, boolean transB, Matrix ma)
Multiplication of two matrices.double
Matrix. multiply(int row1, Matrix ma2, int row2)
Matrix
Matrix. multiply(Matrix ma)
Matrix
Matrix. multiplyValByVal(Matrix ma)
Value by value multiplication Matrices must have the same dimensions.protected static Matrix
MatrixTests. pls(Matrix X, Matrix Y, java.lang.String sPatternHeaderX, int iNumPrincipalComponents, boolean bLogarithm, java.lang.String sFileDataSummaryOut)
Matrix
Matrix. plus(Matrix ma)
static Matrix
BoxCox. reTransform(Matrix A, BoxCox boxCox)
void
Matrix. set(Matrix ma)
Matrix
LUDecomposition. solve(Matrix B)
Solve A*X = Bstatic Matrix[]
MatrixFunctions. split(Matrix A, int row)
Splits the matrix row wise into two matrices.static Matrix[]
MatrixFunctions. splitCol(Matrix A, int col)
Matrix
Matrix. subtract(Matrix ma)
Matrix
Matrix. subtractFromCols(Matrix maDivisor)
static Matrix
BoxCox. transform(Matrix A, BoxCox boxCox)
static double[]
MatrixFunctions. upperTriangle(Matrix maQuadratic)
static void
MatrixFunctions. vecvec2Matrix(java.util.Vector<java.util.Vector<java.lang.Double>> vecvec, Matrix ma)
Converts a vector of vectors into doubles, each vector results in a row in the matrix.static void
MatrixFunctions. writeQuadraticSymmetricMatrixPairwise(Matrix ma, java.io.File fiTxt)
Method parameters in com.actelion.research.calc with type arguments of type Matrix Modifier and Type Method Description static Matrix
MatrixFunctions. appendRows(java.util.List<Matrix> liMatrix)
Constructors in com.actelion.research.calc with parameters of type Matrix Constructor Description LUDecomposition(Matrix A)
LU Decomposition Structure to access L, U and piv.Matrix(Matrix ma)
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Uses of Matrix in com.actelion.research.calc.graph
Methods in com.actelion.research.calc.graph that return Matrix Modifier and Type Method Description Matrix
MinimumSpanningTree. getMST()
Constructors in com.actelion.research.calc.graph with parameters of type Matrix Constructor Description MinimumSpanningTree(Matrix maAdjacency)
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Uses of Matrix in com.actelion.research.calc.histogram
Methods in com.actelion.research.calc.histogram that return Matrix Modifier and Type Method Description Matrix
Histogram. getHistogram()
static Matrix
MatrixBasedHistogram. getHistogram(double[] arrValues, Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(float[][] ma, int col, Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(float[] ma, Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(Matrix ma, int numBins)
static Matrix
MatrixBasedHistogram. getHistogram(Matrix ma, Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogramBins(double dMin, double dMax, int iNumBins)
Methods in com.actelion.research.calc.histogram with parameters of type Matrix Modifier and Type Method Description static double[]
MatrixBasedHistogram. getBordersMostFreqOccBin(Matrix maHistogram, int radius)
Gets the upper and lower limit of the most occupied bin.static Histogram
MatrixBasedHistogram. getFromQuadraticMatrix(Matrix ma, double min, double max, int bins)
static Matrix
MatrixBasedHistogram. getHistogram(double[] arrValues, Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(float[][] ma, int col, Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(float[] ma, Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(Matrix maHistogramBins)
static Matrix
MatrixBasedHistogram. getHistogram(Matrix ma, int numBins)
static Matrix
MatrixBasedHistogram. getHistogram(Matrix ma, Matrix maHistogramBins)
static double
MatrixBasedHistogram. getMaxOccBin(Matrix maHist)
static double
MatrixBasedHistogram. getMinOccBin(Matrix maHist)
static java.lang.String
MatrixBasedHistogram. histogram2String(Matrix hist, int digits, int totalWidth)
static void
MatrixBasedHistogram. writeHistogram(java.lang.String sFile, Matrix hist, boolean bApppend, int digits, int totalWidth)
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Uses of Matrix in com.actelion.research.calc.regression
Methods in com.actelion.research.calc.regression that return Matrix Modifier and Type Method Description Matrix
ICalculateYHat. calculateYHat(Matrix X)
Matrix
RegressionMethodContainer. calculateYHat(Matrix X)
Matrix
ICalculateModel. createModel(ModelXYIndex modelXYIndexTrain)
Matrix
RegressionMethodContainer. createModel(ModelXYIndex modelXYIndexTrain)
Methods in com.actelion.research.calc.regression with parameters of type Matrix Modifier and Type Method Description static ModelError
ModelError. calculateError(Matrix Y, Matrix YHat)
Calculates the absolute and the relative error.static ModelError
ModelError. calculateError(Matrix Y, Matrix YHat, double threshold, boolean above)
Matrix
ICalculateYHat. calculateYHat(Matrix X)
Matrix
RegressionMethodContainer. calculateYHat(Matrix X)
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Uses of Matrix in com.actelion.research.calc.regression.gaussianprocess
Methods in com.actelion.research.calc.regression.gaussianprocess that return Matrix Modifier and Type Method Description Matrix
GaussianProcessRegression. calculateYHat(Matrix X)
Matrix
GaussianProcessRegression. createModel(ModelXYIndex modelXYIndexTrain)
Methods in com.actelion.research.calc.regression.gaussianprocess with parameters of type Matrix Modifier and Type Method Description Matrix
GaussianProcessRegression. calculateYHat(Matrix X)
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Uses of Matrix in com.actelion.research.calc.regression.knn
Methods in com.actelion.research.calc.regression.knn that return Matrix Modifier and Type Method Description Matrix
KNNRegression. calculateYHat(Matrix X)
Not thread save.Matrix
KNNRegression. createModel(ModelXYIndex modelXYIndexTrain)
Methods in com.actelion.research.calc.regression.knn with parameters of type Matrix Modifier and Type Method Description Matrix
KNNRegression. calculateYHat(Matrix X)
Not thread save. -
Uses of Matrix in com.actelion.research.calc.regression.linear.pls
Fields in com.actelion.research.calc.regression.linear.pls declared as Matrix Modifier and Type Field Description protected Matrix
SimPLS. B
protected Matrix
SimPLS. ES
protected Matrix
SimPLS. EX
protected Matrix
SimPLS. EY
protected Matrix
SimPLS. P
protected Matrix
SimPLS. Q
protected Matrix
SimPLS. R
protected Matrix
SimPLS. T
protected Matrix
SimPLS. U
protected Matrix
SimPLS. V
Methods in com.actelion.research.calc.regression.linear.pls that return Matrix Modifier and Type Method Description Matrix
PLSRegressionModelCalculator. calculateYHat(Matrix Xtest)
With centering of Xtest with Xtrain.Matrix
PLSRegressionModelCalculator. calculateYHatWithoutDeCentering(Matrix Xtest)
Matrix
PLSRegressionModelCalculator. createModel(ModelXYIndex dataXYTrain)
Matrix
PLSRegressionModelCalculator. getB()
Matrix
RegressionModelCalculatorOptimumFactors. getB()
Matrix
SimPLS. getExplainedVarS()
Matrix
SimPLS. getExplainedVarX()
Matrix
SimPLS. getExplainedVarY()
Matrix
SimPLS. getP()
Matrix
SimPLS. getQ()
Matrix
SimPLS. getR()
Matrix
PLSRegressionModelCalculator. getT(Matrix XPreprocessed)
Matrix
SimPLS. getT()
Matrix
SimPLS. getT(Matrix XPreprocessed)
Matrix
SimPLS. getU()
Matrix
SimPLS. getV()
Matrix
PLSRegressionModelCalculator. getXvar()
Matrix
PLSRegressionModelCalculator. getYHat()
Matrix
RegressionModelCalculatorOptimumFactors. getYHat()
static Matrix
SimPLS. invLinReg_Yhat(Matrix BFromCentered, Matrix Xtest)
static Matrix
SimPLS. invLinReg_Yhat(Matrix B, Matrix Xtrain, Matrix Xtest, Matrix Ytrain)
Methods in com.actelion.research.calc.regression.linear.pls with parameters of type Matrix Modifier and Type Method Description ModelError
PLSRegressionModelCalculator. calculateModelErrorTest(Matrix Xtest, Matrix Ytest)
Matrix
PLSRegressionModelCalculator. calculateYHat(Matrix Xtest)
With centering of Xtest with Xtrain.Matrix
PLSRegressionModelCalculator. calculateYHatWithoutDeCentering(Matrix Xtest)
Matrix
PLSRegressionModelCalculator. getT(Matrix XPreprocessed)
Matrix
SimPLS. getT(Matrix XPreprocessed)
static Matrix
SimPLS. invLinReg_Yhat(Matrix BFromCentered, Matrix Xtest)
static Matrix
SimPLS. invLinReg_Yhat(Matrix B, Matrix Xtrain, Matrix Xtest, Matrix Ytrain)
void
SimPLS. simPlsSave(Matrix Xtrain, Matrix Ytrain, int facmax)
No explained variance is calculated.void
SimPLS. simPlsSave(Matrix Xtrain, Matrix Ytrain, Matrix Xtest, Matrix Ytest, int facmax)
void
SimPLS. simPlsSaveExplainedVariance(Matrix Xtrain, Matrix Ytrain, int facmax)
The explained variance is calculated.Constructors in com.actelion.research.calc.regression.linear.pls with parameters of type Matrix Constructor Description SimPLSLMOValidation(Matrix X, Matrix Y)
Deprecated. -
Uses of Matrix in com.actelion.research.calc.regression.linear.pls.boxcox
Methods in com.actelion.research.calc.regression.linear.pls.boxcox that return Matrix Modifier and Type Method Description Matrix
PLSBoxCoxY. calculateYHat(Matrix Xtest)
Matrix
PLSBoxCoxY. createModel(ModelXYIndex modelXYIndexTrain)
Methods in com.actelion.research.calc.regression.linear.pls.boxcox with parameters of type Matrix Modifier and Type Method Description Matrix
PLSBoxCoxY. calculateYHat(Matrix Xtest)
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Uses of Matrix in com.actelion.research.calc.regression.median
Methods in com.actelion.research.calc.regression.median that return Matrix Modifier and Type Method Description Matrix
MedianRegression. calculateYHat(Matrix X)
Matrix
MedianRegression. createModel(ModelXYIndex modelXYIndexTrain)
Methods in com.actelion.research.calc.regression.median with parameters of type Matrix Modifier and Type Method Description Matrix
MedianRegression. calculateYHat(Matrix X)
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Uses of Matrix in com.actelion.research.calc.regression.neuralnetwork
Methods in com.actelion.research.calc.regression.neuralnetwork that return Matrix Modifier and Type Method Description Matrix
NeuralNetworkRegression. calculateYHat(Matrix X)
Matrix
NeuralNetworkRegression. createModel(ModelXYIndex modelXYIndexTrain)
Methods in com.actelion.research.calc.regression.neuralnetwork with parameters of type Matrix Modifier and Type Method Description Matrix
NeuralNetworkRegression. calculateYHat(Matrix X)
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Uses of Matrix in com.actelion.research.calc.regression.randomforest
Methods in com.actelion.research.calc.regression.randomforest that return Matrix Modifier and Type Method Description Matrix
RandomForestRegression. calculateYHat(Matrix X)
Matrix
RandomForestRegression. createModel(ModelXYIndex modelXYIndexTrain)
Methods in com.actelion.research.calc.regression.randomforest with parameters of type Matrix Modifier and Type Method Description Matrix
RandomForestRegression. calculateYHat(Matrix X)
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Uses of Matrix in com.actelion.research.calc.regression.svm
Methods in com.actelion.research.calc.regression.svm that return Matrix Modifier and Type Method Description Matrix
SVMRegression. calculateYHat(Matrix X)
Matrix
SVMRegression. createModel(ModelXYIndex modelXYIndex)
Methods in com.actelion.research.calc.regression.svm with parameters of type Matrix Modifier and Type Method Description Matrix
SVMRegression. calculateYHat(Matrix X)
static svm_node[][]
Matrix2SVMNodeConverter. convert(Matrix A)
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Uses of Matrix in com.actelion.research.calc.statistics
Methods in com.actelion.research.calc.statistics that return Matrix Modifier and Type Method Description Matrix
StatisticsOverview. getHistogram()
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Uses of Matrix in com.actelion.research.chem.alignment3d
Methods in com.actelion.research.chem.alignment3d with parameters of type Matrix Modifier and Type Method Description void
KabschAlignment. align(Coordinates trans1, Matrix rot, Coordinates trans2)
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Uses of Matrix in com.actelion.research.chem.alignment3d.transformation
Methods in com.actelion.research.chem.alignment3d.transformation that return Matrix Modifier and Type Method Description Matrix
Quaternion. getRotMatrix()
from Grassia: q0 corresponds to qw (scalar part) -
Uses of Matrix in com.actelion.research.chem.docking
Methods in com.actelion.research.chem.docking that return Matrix Modifier and Type Method Description static Matrix
DockingUtils. calculateMassCovarianceMatrix(Conformer conf)
static Matrix
DockingUtils. createInitialOrientation(Conformer conf)
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Uses of Matrix in com.actelion.research.chem.phesa
Methods in com.actelion.research.chem.phesa that return Matrix Modifier and Type Method Description Matrix
MolecularVolume. createCanonicalOrientation(Conformer conf)
Matrix
ShapeVolume. createCanonicalOrientation(Conformer conf)
Matrix
MolecularVolume. getCovarianceMatrix()
Matrix
ShapeVolume. getCovarianceMatrix()
Methods in com.actelion.research.chem.phesa with parameters of type Matrix Modifier and Type Method Description void
VolumeGaussian. rotateShift(Matrix rotMat)
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Uses of Matrix in com.actelion.research.util.datamodel
Fields in com.actelion.research.util.datamodel declared as Matrix Modifier and Type Field Description Matrix
ModelXY. X
Matrix
ModelXY. Y
Methods in com.actelion.research.util.datamodel that return Matrix Modifier and Type Method Description Matrix
ModelXYCrossValidation. getXtest()
Deprecated.Matrix
ModelXYCrossValidation. getXtrain()
Deprecated.Matrix
ModelXYCrossValidation. getYtest()
Deprecated.Matrix
ModelXYCrossValidation. getYtrain()
Deprecated.Constructors in com.actelion.research.util.datamodel with parameters of type Matrix Constructor Description ModelXY(Matrix x, Matrix y)
ModelXYIndex(Matrix x, Matrix y)
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Uses of Matrix in com.actelion.research.util.datamodel.table
Methods in com.actelion.research.util.datamodel.table with parameters of type Matrix Modifier and Type Method Description void
TableModelString. set(Matrix m, int digits)
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