A C D E F G I J L M N O P R S T U V W

A

addSample(double, double) - Method in class edu.umbc.cs.maple.utils.PairedTTester

Adds a matched pair of values.

addSample1(double) - Method in class edu.umbc.cs.maple.utils.PairedTTester

Adds the first number of a pair of values.

addSample2(double) - Method in class edu.umbc.cs.maple.utils.PairedTTester

Adds the second number of a pair of values.

append(int[], int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Appends an element to a vector.

append(double[], double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Appends an element to a vector.

append(double[], double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Appends two vectors.

append(int[], int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Appends two vectors.

appendSortX(Point2D[], Point2D[]) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Combine two sorted vectors of points into one vector of sorted points.

applyFunction(int, int) - Method in enum edu.umbc.cs.maple.utils.JamaUtils.Function

Apply the function to the two values.

applyFunction(double, double) - Method in enum edu.umbc.cs.maple.utils.JamaUtils.Function

Apply the function to the two values.

areaBetweenLearningCurves(Point2D[], Point2D[]) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Given two learning curves, determines the area between the two curves.

arffToSVMLight(Instances, WekaUtils.SVMLightLabelFormat) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Converts a set of instances to svm-light format

arffToSVMLight(Instance, WekaUtils.SVMLightLabelFormat) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Converts a set of instances to svm-light format

arrayAdd(double[], double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Adds corresponding elements of two arrays.

arrayAppend(T[], T) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Appends an element to an array.

arrayAppend(int[], int) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Appends an element to an array.

arrayCopy(T[]) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Copy the given array.

arrayCopy(int[]) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Copy the given array.

arrayCopy(double[]) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Copy the given array.

arrayDelete(T[], int) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Delete the specified element from the array.

arrayDivide(double[], double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Divides each element of an array by a number.

arrayReverse(T[]) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Reverses the given array.

arrayToString(double[]) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

arrayToString(double[], DecimalFormat) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

arrayToString(String[]) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

C

capValue(double, double, double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Caps a value to a given range.

capValue(int, int, int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Caps a value to a given range.

collectionToPrimitiveArray(Collection<Double>) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

collectionToPrimitiveArray(Collection<Integer>) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

colsum(DoubleMatrix2D, int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Gets the sum of the specified column of the matrix.

colsum(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Computes the sum of each column of a matrix.

colsum(Matrix, int) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the sum of the specified column of the matrix.

colsum(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Computes the sum of each column of a matrix.

ColtSGTUtils - Class in edu.umbc.cs.maple.utils

Various utility functions for Spectral Graph Theory using the COLT matrix library.

ColtSGTUtils() - Constructor for class edu.umbc.cs.maple.utils.ColtSGTUtils

ColtSGTUtils.KeyEigenvalues - Enum in edu.umbc.cs.maple.utils

ColtSGTUtils.LaplacianType - Enum in edu.umbc.cs.maple.utils

ColtUtils - Class in edu.umbc.cs.maple.utils

Various utility functions for the COLT matrix library.

ColtUtils() - Constructor for class edu.umbc.cs.maple.utils.ColtUtils

ColtUtils.MaxMin - Enum in edu.umbc.cs.maple.utils

columnAppend(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Appends additional columns to the first matrix.

columnAppend(Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Appends additional columns to the first matrix.

computePolygonArea(Point2D[]) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Computes the area of the specified polygon.

computeSimilarity(int[], int[], MathUtils.SimilarityMetric) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the similarity of the two vectors.

convertMulticlassToBinary(Instances, String) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Converts the instances in the given dataset to binary, setting the specified labels to positive.

correlation(int[], int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the correlation between two arrays of the same length, p and q.

correlation(double[], double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the correlation between two arrays of the same length, p and q.

cropLineX(Point2D[], double, double) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Crops a line to the given x-coordinates.

D

deleteCol(DoubleMatrix2D, int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Deletes a column from a matrix.

deleteCol(Matrix, int) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Deletes a column from a matrix.

deleteRow(DoubleMatrix2D, int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Deletes a row from a matrix.

deleteRow(Matrix, int) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Deletes a row from a matrix.

diagonalPow(DoubleMatrix2D, double) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

directedWeightedAdjacencyToLaplacian(DoubleMatrix2D, ColtSGTUtils.LaplacianType) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

Computes the Laplacian matrix for a directed weighted adjacency matrix A.

directedWeightedAdjacencyToLaplacian(Matrix, SGTUtils.LaplacianType) - Static method in class edu.umbc.cs.maple.utils.SGTUtils

Computes the Laplacian matrix for a directed weighted adjacency matrix A.

dotproduct(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Computes the dot product of two vectors.

dotproduct(DoubleMatrix1D, DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Computes the dot product of two vectors.

dotproduct(Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Computes the dot product of two vectors.

E

edu.umbc.cs.maple.utils - package edu.umbc.cs.maple.utils

elementMult(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

elementMultEquals(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

ensureCurveHasXCoordinates(Point2D[], double[]) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Ensures that the given curve contains all of the specified x-coordinates.

equalClassPriors(Instances) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Determines whether a data set has equal class priors.

F

f_to_minimize(double) - Method in interface optimization.Fmin_methods

Defines a function f : double -> double to minimize.

f_to_minimize(double) - Method in class optimization.FminTest

Fmin - Class in optimization

This class was translated by a statistician from the FORTRAN version of fmin.

Fmin() - Constructor for class optimization.Fmin

fmin(double, double, Fmin_methods, double) - Static method in class optimization.Fmin

This method performs a 1-dimensional minimization.

Fmin_methods - Interface in optimization

Interface method to define a function to minimize.

FminTest - Class in optimization

This class tests the Fmin class.

format1DecimalPlace - Static variable in class edu.umbc.cs.maple.utils.JavaUtils

format2DecimalPlaces - Static variable in class edu.umbc.cs.maple.utils.JavaUtils

format3DecimalPlaces - Static variable in class edu.umbc.cs.maple.utils.JavaUtils

format4DecimalPlaces - Static variable in class edu.umbc.cs.maple.utils.JavaUtils

G

gcv(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

gcv(Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Selects the regularization parameter by generalized cross-validation.

getBufferedImage(Image) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

getBytesFromFile(File) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

getClassValues(Instances) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Gets the class values for a set of instances.

getcol(DoubleMatrix2D, int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Gets the specified column of a matrix.

getcol(Matrix, int) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the specified column of a matrix.

getcolumns(DoubleMatrix2D, int[]) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Gets the specified columns of a matrix.

getcolumns(Matrix, int[]) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the specified columns of a matrix.

getConfusionMatrix(int[], int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the normalized confusion matrix for two vectors.

getLabels(Instances) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Gets the class labels for a set of instances.

getMachinePrecision() - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the computed machine precision.

getMax(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

getMax(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the maximum value in a matrix.

getMin(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

getMin(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the minimum value in a matrix.

getNonZeros(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

getNonZeros(DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

getRandomGenerator() - Static method in class edu.umbc.cs.maple.utils.MathUtils

Retrieves the initialized random number generator.

getrow(DoubleMatrix2D, int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Gets the specified row of a matrix.

getrow(Matrix, int) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the specified row of a matrix.

getrows(DoubleMatrix2D, int[]) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Gets the specified rows of a matrix.

getrows(Matrix, int[]) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the specified rows of a matrix.

getWeights(Instances) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Gets the weights of each instance in a dataset as an array.

I

identity(int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

initializeRandomGenerator(long) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Initializes a random number generator with the given seed.

instancesToDoubleArrays(Instances) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Converts a set of instances to an array of vectors

instanceToDoubleArray(Instance) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Converts an instance to a feature vector excluding the class attribute.

interpolate(Point2D, Point2D, double) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Does linear interpolation at x of the line from pt1 to pt2.

interpolate(Point2D[], double) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Interpolates the given x onto the line of points.

intersection(Line2D, Line2D) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Computes the intersection between two lines.

inverse(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

isApproxEqual(double, double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Determines whether two numbers are approximately equal according to the machine precision.

isApproxEqual(double, double, double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Determines whether two numbers are approximately equal according to the precision.

isColumnVector(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Determines if a given matrix is a column vector, that is, it has only one column.

isColumnVector(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Determines if a given matrix is a column vector, that is, it has only one column.

isPointOnLine(Line2D, Point2D) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Determines whether a given point is on a line.

isRowVector(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Determines if a given matrix is a row vector, that is, it has only one row.

isRowVector(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Determines if a given matrix is a row vector, that is, it has only one row.

isSymmetric(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Determines whether a matrix is symmetric.

isSymmetric(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Determines whether a matrix is symmetric.

J

JamaUtils - Class in edu.umbc.cs.maple.utils

Various utility functions for the Jama matrix toolkit.

JamaUtils() - Constructor for class edu.umbc.cs.maple.utils.JamaUtils

JamaUtils.Function - Enum in edu.umbc.cs.maple.utils

Specifies a simple mathematical function.

JavaUtils - Class in edu.umbc.cs.maple.utils

Various utility functions for Java.

JavaUtils() - Constructor for class edu.umbc.cs.maple.utils.JavaUtils

L

loadDoubleMatrix2D(File) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

loadSparseMatrix(File) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

log2(double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the log-base-2 of a number.

M

main(String[]) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

main(String[]) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

main(String[]) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Test function for regularized least squares.

main(String[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

main(String[]) - Static method in class edu.umbc.cs.maple.utils.MLUtils

main(String[]) - Static method in class optimization.FminTest

mainAssist(double[][]) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

makeColumnVector(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Transforms the given matrix into a column vector, that is, a matrix with one column.

makeColumnVector(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Transforms the given matrix into a column vector, that is, a matrix with one column.

makeMatrixSymmetric(DoubleMatrix2D, ColtUtils.MaxMin) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

makeMatrixSymmetric(Matrix, JamaUtils.Function) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Makes a matrix symmetric by applying a function to symmetric elements.

makeRowVector(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Transforms the given matrix into a row vector, that is, a matrix with one row.

makeRowVector(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Transforms the given matrix into a row vector, that is, a matrix with one row.

MathUtils - Class in edu.umbc.cs.maple.utils

A collection of mathematical utility functions.

MathUtils() - Constructor for class edu.umbc.cs.maple.utils.MathUtils

MathUtils.SimilarityMetric - Enum in edu.umbc.cs.maple.utils

Defines a similarity metric measure

maxIndex(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the maximum element in the array.

maxIndex(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the maximum element in the array.

maxIndexRand(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the maximum element in the array.

maxIndexRand(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the maximum element in the array.

maxValue(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the maximum value in the given array.

maxValue(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the maximum value in the given array.

maxY(Point2D[]) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Determines the maximum y-coordinate for the set of points.

mean(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the mean of the values in the given array.

mean(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the mean of the values in the given array.

mergeInstances(Instances, Instances) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Merge two instance sets.

minIndex(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the minimum element in the array.

minIndex(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the minimum element in the array.

minIndexRand(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the minimum element in the array.

minIndexRand(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets the index of the minimum element in the array.

minus(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

minus(DoubleMatrix1D, DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

minusEquals(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

minusEquals(DoubleMatrix1D, DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

minValue(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the minimum value in the given array.

minValue(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the minimum value in the given array.

minY(Point2D[]) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Determines the minimum y-coordinate for the set of points.

MLUtils - Class in edu.umbc.cs.maple.utils

A collection of machine learning utility functions.

MLUtils() - Constructor for class edu.umbc.cs.maple.utils.MLUtils

mult(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

mutualInformation(int[], int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the mutual information between two vectors.

N

nextRandomGaussian(double, double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets a random number from a one dimensional Gaussian distribution with the given mean and variance.

nextRandomGaussian(Random, double, double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Gets a random number from a one dimensional Gaussian distribution with the given mean and variance.

normalize(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Normalizes a matrix to make the elements sum to 1.

normalize(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Normalizes a matrix to make the elements sum to 1.

normalizedAreaBetweenLearningCurves(Point2D[], Point2D[], double) - Static method in class edu.umbc.cs.maple.utils.MLUtils

Calculates the normalized the area between these two learning curves by the area between the baselineLearningCurve and a horizontal line at the bestPerformance.

normF(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

O

ones(int, int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Make a matrix of ones.

ones(int, int) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Make a matrix of ones.

optimization - package optimization

P

pairedTTest() - Method in class edu.umbc.cs.maple.utils.PairedTTester

Returns the significance level of a paired t-test of the two samples

PairedTTester - Class in edu.umbc.cs.maple.utils

A class to perform a statistical paired T-test on a set of data.

PairedTTester() - Constructor for class edu.umbc.cs.maple.utils.PairedTTester

pairwiseAgreement(int[], int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the pairwise agreement between two pairwise arrays of labelings.

parseFileToStringArray(String) - Static method in class edu.umbc.cs.maple.utils.JavaUtils

Opens a file and generates an array of strings.

permutation(int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Generates a random permutation of the numbers {0, ..., n-1}

permutation(int, Random) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Generates a random permutation of the numbers {0, ..., n-1}

plus(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

plus(DoubleMatrix1D, DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

plusEquals(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

plusEquals(DoubleMatrix1D, DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

predictClasses(Classifier, Instances) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Uses the given model to predict the classes of the data.

printSparseMatrix(PrintStream, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

projectFunctionToBasis(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

Computes the projection of a function onto another basis.

projectFunctionToBasis(Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.SGTUtils

Computes the projection of a function onto another basis.

R

rangeCheck(int, int, int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Throws an exception whenever a value falls outside the given range.

rangeCheck(double, double, double) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Throws an exception whenever a value falls outside the given range.

regLeastSquares(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

regLeastSquares(DoubleMatrix2D, DoubleMatrix2D, double) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

regLeastSquares(DoubleMatrix2D, DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

regLeastSquares(Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Performs least squares regression using Tikhonov regularization.

regLeastSquares(Matrix, Matrix, double) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Performs least squares regression using Tikhonov regularization.

regLeastSquares(Matrix, Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Performs least squares regression using Tikhonov regularization.

resolution(DoubleMatrix2D, int, ColtSGTUtils.KeyEigenvalues) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

Computes the specified resolution of matrix A.

resolution(Matrix, int, SGTUtils.KeyEigenvalues) - Static method in class edu.umbc.cs.maple.utils.SGTUtils

Computes the specified resolution of matrix A.

resolutionGraphFunction(DoubleMatrix2D, DoubleMatrix2D, int) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

Computes the specified resolution of a function on a graph.

resolutionGraphFunction(Matrix, Matrix, int) - Static method in class edu.umbc.cs.maple.utils.SGTUtils

Computes the specified resolution of a function on a graph.

reverse(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Reverses the given array.

reverse(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Reverses the given array.

reverseCuthillMcKee(int[][], boolean) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Runs the reverse Cuthill-McKee algorithm on the adjacency lists to provide an efficient ordering of the vertices

rmse(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

rmse(Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Computes the root mean squared error of two matrices

rmse(double[], double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the root mean squared error between two vectors.

round(double, int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Reduces the precision of a double to a specified number of decimal places.

roundToMultiple(int, int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Rounds a value to the nearest number that is a specific multiple.

rowAppend(DoubleMatrix2D, DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Appends additional rows to the first matrix.

rowAppend(Matrix, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Appends additional rows to the first matrix.

rowsum(DoubleMatrix2D, int) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Gets the sum of the specified row of the matrix.

rowsum(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Computes the sum of each row of a matrix.

rowsum(Matrix, int) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Gets the sum of the specified row of the matrix.

rowsum(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Computes the sum of each row of a matrix.

S

sampleWithoutReplacement(T[], double[], int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Samples from a set of weighted objects without replacement.

sampleWithReplacement(T[], double[], int) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Samples from a set of weighted objects with replacement.

scale(DoubleMatrix2D, double) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

scale(DoubleMatrix1D, double) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

setcol(DoubleMatrix2D, int, DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Sets the specified column of a matrix.

setcol(DoubleMatrix2D, int, double[]) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Sets the specified column of a matrix.

setcol(Matrix, int, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Sets the specified column of a matrix.

setcol(Matrix, int, double[]) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Sets the specified column of a matrix.

setrow(DoubleMatrix2D, int, DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

Sets the specified row of a matrix.

setrow(Matrix, int, Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Sets the specified row of a matrix.

SGTUtils - Class in edu.umbc.cs.maple.utils

This class implements utility functions for Spectral Graph Theory methods.

SGTUtils() - Constructor for class edu.umbc.cs.maple.utils.SGTUtils

SGTUtils.KeyEigenvalues - Enum in edu.umbc.cs.maple.utils

Defines whether the largest or the smallest eigenvalues are the most important (i.e.

SGTUtils.LaplacianType - Enum in edu.umbc.cs.maple.utils

Defines the type of the graph Laplacian

sortOrder(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Sorts the given values and returns the order of the original indices.

sortOrder(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Sorts the given values and returns the order of the original indices.

subsetInstances(Instances, int, int) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Extract a particular subset of the instances.

sum(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

sum(DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

sum(Matrix) - Static method in class edu.umbc.cs.maple.utils.JamaUtils

Computes the sum the elements of a matrix.

sum(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Sums the values in the given array.

sum(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Sums the values in the given array.

T

to1D(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

to2D(DoubleMatrix1D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

totalMemoryMB() - Static method in class edu.umbc.cs.maple.utils.JavaUtils

transpose(DoubleMatrix2D) - Static method in class edu.umbc.cs.maple.utils.ColtUtils

trimInstances(Instances, double) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Take a certain percentage of a set of instances.

trimInstances(Instances, int) - Static method in class edu.umbc.cs.maple.utils.WekaUtils

Take a certain number of a set of instances.

U

undirectedWeightedAdjacencyToLaplacian(DoubleMatrix2D, ColtSGTUtils.LaplacianType) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

Computes the Laplacian matrix for an undirected weighted adjacency matrix A.

undirectedWeightedAdjacencyToLaplacian(Matrix, SGTUtils.LaplacianType) - Static method in class edu.umbc.cs.maple.utils.SGTUtils

Computes the Laplacian matrix for an undirected weighted adjacency matrix A.

uniqueValues(int[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Determines the unique values of v.

uniqueValues(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Determines the unique values of v.

V

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.ColtSGTUtils.KeyEigenvalues

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.ColtSGTUtils.LaplacianType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.ColtUtils.MaxMin

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.JamaUtils.Function

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.MathUtils.SimilarityMetric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.SGTUtils.KeyEigenvalues

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.SGTUtils.LaplacianType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umbc.cs.maple.utils.WekaUtils.SVMLightLabelFormat

Returns the enum constant of this type with the specified name.

values() - Static method in enum edu.umbc.cs.maple.utils.ColtSGTUtils.KeyEigenvalues

Returns an array containing the constants of this enum type, in the order they're declared.

values() - Static method in enum edu.umbc.cs.maple.utils.ColtSGTUtils.LaplacianType

Returns an array containing the constants of this enum type, in the order they're declared.

values() - Static method in enum edu.umbc.cs.maple.utils.ColtUtils.MaxMin

Returns an array containing the constants of this enum type, in the order they're declared.

values() - Static method in enum edu.umbc.cs.maple.utils.JamaUtils.Function

Returns an array containing the constants of this enum type, in the order they're declared.

values() - Static method in enum edu.umbc.cs.maple.utils.MathUtils.SimilarityMetric

Returns an array containing the constants of this enum type, in the order they're declared.

values() - Static method in enum edu.umbc.cs.maple.utils.SGTUtils.KeyEigenvalues

Returns an array containing the constants of this enum type, in the order they're declared.

values() - Static method in enum edu.umbc.cs.maple.utils.SGTUtils.LaplacianType

Returns an array containing the constants of this enum type, in the order they're declared.

values() - Static method in enum edu.umbc.cs.maple.utils.WekaUtils.SVMLightLabelFormat

Returns an array containing the constants of this enum type, in the order they're declared.

vectorAdd(double[], double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Performs vector addition.

vectorL2Norm(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Computes the L2 norm of the given vector.

vectorMultiply(double, double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Performs scalar multiplication on a vector.

vectorNormalize(double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Normalizes the given vector.

vectorSubtract(double[], double[]) - Static method in class edu.umbc.cs.maple.utils.MathUtils

Performs vector subtraction.

W

weightedAdjacencyToLaplacian(DoubleMatrix2D, ColtSGTUtils.LaplacianType) - Static method in class edu.umbc.cs.maple.utils.ColtSGTUtils

Computes the Laplacian matrix for a weighted adjacency matrix A.

weightedAdjacencyToLaplacian(Matrix, SGTUtils.LaplacianType) - Static method in class edu.umbc.cs.maple.utils.SGTUtils

Computes the Laplacian matrix for a weighted adjacency matrix A.

WekaUtils - Class in edu.umbc.cs.maple.utils

Various utility functions for Weka.

WekaUtils() - Constructor for class edu.umbc.cs.maple.utils.WekaUtils

WekaUtils.SVMLightLabelFormat - Enum in edu.umbc.cs.maple.utils

Defines the format of the SVMLight labels

A C D E F G I J L M N O P R S T U V W