A B C D E F G H I K L M N O P Q R S T U V W

A

AbstractKernelEstimator - Class in weka.estimators.density

Abstract Class for kernel density estimators

AbstractKernelEstimator() - Constructor for class weka.estimators.density.AbstractKernelEstimator

addValue(double, double) - Method in class weka.estimators.density.AbstractKernelEstimator

addValue(double, double) - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

addValue(double, double) - Method in class weka.estimators.density.BoundedEstimator

addValue(double, double) - Method in class weka.estimators.density.CachedEstimator

addValue(double, double) - Method in class weka.tools.WeightedValuesHolder

addValues(double[], double[]) - Method in class weka.estimators.density.AbstractKernelEstimator

addValues(double[], double[]) - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

addValues(double[], double[]) - Method in class weka.estimators.density.BoundedEstimator

addValues(double[], double[]) - Method in class weka.estimators.density.CachedEstimator

addValues(double[], double[]) - Method in interface weka.estimators.density.DensityEstimator

Adds a set ov values into the estimator

addValues(double[], double[]) - Method in class weka.tools.WeightedValuesHolder

AdjacencyDistance - Class in weka.intPermutation.distance

The R distance, according to Sevaux, M Sörensen, K

AdjacencyDistance() - Constructor for class weka.intPermutation.distance.AdjacencyDistance

AIntegrator - Class in weka.tools.numericIntegration

Abstract class for numeric integration

AIntegrator() - Constructor for class weka.tools.numericIntegration.AIntegrator

areConsistent(int[], int[]) - Static method in class weka.intPermutation.IntPermutationOperator

AttributeCounter - Class in weka.tools.data

The class implements attribute counting

AttributeCounter() - Constructor for class weka.tools.data.AttributeCounter

AttributeCounter.Type - Enum in weka.tools.data

B

BandwidthSelectionKernelEstimator - Class in weka.estimators.density

Kernel estimator with automatic bandwidth selection

BandwidthSelectionKernelEstimator() - Constructor for class weka.estimators.density.BandwidthSelectionKernelEstimator

bandwidthTipText() - Method in class weka.estimators.density.AbstractKernelEstimator

BoundedEstimator - Class in weka.estimators.density

Estimator with boundary correction based on the reflection approach

BoundedEstimator() - Constructor for class weka.estimators.density.BoundedEstimator

C

CachedEstimator - Class in weka.estimators.density

Estimator with cached values of PDFs and CDFs.

CachedEstimator() - Constructor for class weka.estimators.density.CachedEstimator

calculateAverageDistance(IntPermutation[]) - Method in interface weka.intPermutation.distance.IntPermSetDistance

Calculates average distance of set of permutations

calculateAverageDistance(List<IntPermutation>) - Method in interface weka.intPermutation.distance.IntPermSetDistance

calculateAverageDistance(IntPermutation, IntPermutation[]) - Method in interface weka.intPermutation.distance.IntPermSetObjectDistance

Calculates average permutation distance between the object and set

calculateAverageDistance(IntPermutation, Collection<IntPermutation>) - Method in interface weka.intPermutation.distance.IntPermSetObjectDistance

Calculates average permutation distance between the object and set

calculateAverageDistance(IntPermutation[]) - Method in class weka.intPermutation.distance.PairwisePermDistanceCalculator

calculateAverageDistance(List<IntPermutation>) - Method in class weka.intPermutation.distance.PairwisePermDistanceCalculator

calculateAverageDistance(IntPermutation, IntPermutation[]) - Method in class weka.intPermutation.distance.SetObjDistanceCalculator

calculateAverageDistance(IntPermutation, Collection<IntPermutation>) - Method in class weka.intPermutation.distance.SetObjDistanceCalculator

calculateDistance(IntPermutation, IntPermutation) - Method in class weka.intPermutation.distance.AdjacencyDistance

calculateDistance(IntPermutation, IntPermutation) - Method in class weka.intPermutation.distance.CayleyDistance

calculateDistance(IntPermutation, IntPermutation) - Method in class weka.intPermutation.distance.HammingDistance

calculateDistance(IntPermutation, IntPermutation) - Method in interface weka.intPermutation.distance.IntPermDistanceCalc

Calculates normalised distance between two permutations perm1 and perm2

calculateDistance(IntPermutation, IntPermutation) - Method in class weka.intPermutation.distance.PositionalDistance

calculateDistance(IntPermutation, IntPermutation) - Method in class weka.intPermutation.distance.PrecedenceDistance

calculateDistance(IntPermutation, IntPermutation) - Method in class weka.intPermutation.distance.SwapDistance

calculateDistance(IntPermutation, IntPermutation) - Method in class weka.intPermutation.distance.UlamDistance

calculateNorm(double, double) - Method in interface weka.tools.fuzzyNorms.FuzzyNorm

Calculates fuzzy norm of two values

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.sNorms.HamaherSNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.sNorms.LukasiewiczSNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.sNorms.MaxSNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.tNorms.DrasticTNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.tNorms.HamaherTNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.tNorms.LukasiewiczTNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.tNorms.MinTNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.tNorms.NilpotentTNorm

calculateNorm(double, double) - Method in class weka.tools.fuzzyNorms.tNorms.ProdTNorm

CayleyDistance - Class in weka.intPermutation.distance

Cayley distane according to Deza, M Huang, T For the reverse permuattion the distance is: (N*ceil(N/2))(N-1)

CayleyDistance() - Constructor for class weka.intPermutation.distance.CayleyDistance

checkCallGlobalInfo() - Method in class weka.tools.tests.WekaGOEChecker

checks whether the object declares a globalInfo method.

checkCompatibility(Instances, Instance) - Static method in class weka.tools.InstancesTools

Checks the compatibility of the instance and the dataset

checkCompatibility(Instance, Instance) - Static method in class weka.tools.InstancesTools

Checks whether the instances are compatible.

checkEquall(Instance, Instance, boolean) - Static method in class weka.tools.InstancesTools

Check whether the instances are equall

checkSerialization(Object) - Static method in class weka.tools.SerializationTester

Check if the object can ber serialized succesfully

checkToolTipsCall() - Method in class weka.tools.tests.WekaGOEChecker

checks whether the object declares tip text method for all its properties.

classFreq(Instances) - Static method in class weka.tools.data.InstancesOperator

Calculates the frequency of class-specific instances.

classSpecSplit(Instances) - Static method in class weka.tools.data.InstancesOperator

Split a dataset according to class indices.

compareDoubleArrays(double[], double[]) - Static method in class weka.core.UtilsPT

Compares two double arrays.

compareFloatArrays(float[], float[]) - Static method in class weka.core.UtilsPT

Compares two float arrays.

copy() - Method in class weka.core.DenseInstanceFast

copyInstance(Instance) - Static method in class weka.tools.InstancesTools

Creates a copy of the instance

corr(double[], double[]) - Static method in class weka.core.UtilsPT

Calculate correlation of two samples (arrays)

CosineKernel - Class in weka.estimators.density.kernels

Cosine kernel

CosineKernel() - Constructor for class weka.estimators.density.kernels.CosineKernel

countAttribs(Instances, AttributeCounter.Type) - Static method in class weka.tools.data.AttributeCounter

cov(double[], double[]) - Static method in class weka.core.UtilsPT

Calculate covariance of two samples of equal length (arr1, arr2)

D

DataGenerator - Interface in weka.tools.data

An interface for objects able to generate the data

Debuggable - Interface in weka.core

An interface for classes that offer debugging mode

DebugSetter - Class in weka.core

DebugSetter() - Constructor for class weka.core.DebugSetter

DenseInstanceFast - Class in weka.core

DenseInstanceFast(Instance) - Constructor for class weka.core.DenseInstanceFast

DenseInstanceFast(int) - Constructor for class weka.core.DenseInstanceFast

DenseInstanceFast(double, double[]) - Constructor for class weka.core.DenseInstanceFast

densEstimTipText() - Method in class weka.estimators.density.CachedEstimator

DensityEstimator - Interface in weka.estimators.density

An interface for PDF/CDF estimators

DensityEstimatorProps - Class in weka.estimators.density.tools

Calculates various properties of density estimators

DensityEstimatorProps() - Constructor for class weka.estimators.density.tools.DensityEstimatorProps

desparse(Instances) - Static method in class weka.tools.data.InstancesOperator

Generates dense dataset from sparse dataset.

DrasticTNorm - Class in weka.tools.fuzzyNorms.tNorms

DrasticTNorm() - Constructor for class weka.tools.fuzzyNorms.tNorms.DrasticTNorm

DummyFunction - Class in weka.tools.numericIntegration

Dummy function

DummyFunction() - Constructor for class weka.tools.numericIntegration.DummyFunction

E

EpanechnikovKernel - Class in weka.estimators.density.kernels

Epanechnikov Kernel

EpanechnikovKernel() - Constructor for class weka.estimators.density.kernels.EpanechnikovKernel

equals(Object) - Method in class weka.core.DenseInstanceFast

equals(Object) - Method in class weka.intPermutation.IntPermutation

F

findCycles() - Method in class weka.intPermutation.IntPermutation

findRoi(DensityEstimator, double, double, int) - Static method in class weka.estimators.density.tools.ROIFinder

Finds Region of Interest -- region with non-zero PDF

Function - Interface in weka.tools.numericIntegration

An interface for functions to be integrated

FuzzyNorm - Interface in weka.tools.fuzzyNorms

Interface for calculating fuzzy norms of two values

FuzzySNorm - Class in weka.tools.fuzzyNorms.sNorms

Base class for the fuzzy s-norm

FuzzySNorm() - Constructor for class weka.tools.fuzzyNorms.sNorms.FuzzySNorm

FuzzyTNorm - Class in weka.tools.fuzzyNorms.tNorms

Base Class for fuzzy t-norms

FuzzyTNorm() - Constructor for class weka.tools.fuzzyNorms.tNorms.FuzzyTNorm

G

GaussianKernel - Class in weka.estimators.density.kernels

Gaussian kernel

GaussianKernel() - Constructor for class weka.estimators.density.kernels.GaussianKernel

GaussianKernelFast - Class in weka.estimators.density.kernels

Gaussian kernel with faster CDF estimation

GaussianKernelFast() - Constructor for class weka.estimators.density.kernels.GaussianKernelFast

generateBaggingSample(Instances, int, double) - Static method in class weka.tools.data.InstancesOperator

generates bootstrap sample from base set

generateBaggingSample(Instances, int) - Static method in class weka.tools.data.InstancesOperator

generates bootstrap sample from base set

generateBaggingSample(Instances) - Static method in class weka.tools.data.InstancesOperator

generates bootstrap sample from base set

generateData() - Method in interface weka.tools.data.DataGenerator

generateData() - Method in class weka.tools.data.RandomDataGenerator

genLinspace(double, double, int) - Static method in class weka.tools.Linspace

Generates linspace

genLinspace(double, double, double) - Static method in class weka.tools.Linspace

Generate linspace with given step (delta)

genLinspaceSym(double, double, int) - Static method in class weka.tools.Linspace

Generates symetric linspace -- values are symmetric around the central value.

genLinspaceSym(double, double, double) - Static method in class weka.tools.Linspace

Generates symetric linspace for given step(delta).

genPermutation(int, int, boolean) - Static method in class weka.intPermutation.IntPermutationOperator

Generates base permutation: minValue, minValue+1, ...

genPermutation(int, int) - Static method in class weka.intPermutation.IntPermutationOperator

Generates a sequence of given length starting from minValue

getArray() - Method in class weka.intPermutation.IntPermutation

getBandwidth() - Method in class weka.estimators.density.AbstractKernelEstimator

getBandwidth() - Method in interface weka.estimators.density.KernelDensityEstimator

getCDF(double) - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

getCDF(double) - Method in class weka.estimators.density.BoundedEstimator

getCDF(double) - Method in class weka.estimators.density.CachedEstimator

getCDF(double) - Method in interface weka.estimators.density.DensityEstimator

Gets Cumulative Density Function for given x

getCDF(double) - Method in class weka.estimators.density.SimpleKernelEstimator

getCDF(double) - Method in class weka.estimators.density.WeightedKernelEstimator

getCentralMoment(DensityEstimator, double, double, double) - Static method in class weka.estimators.density.tools.DensityEstimatorProps

getClassAndOptions(Object) - Static method in class weka.core.UtilsPT

Helper function for getting options Return string for object and its options.

getClassCounts(Instances) - Static method in class weka.tools.InstancesTools

Count instances belonging to classes

getDelta() - Method in class weka.tools.numericIntegration.SimpleIntegrator

getDensEstim() - Method in class weka.estimators.density.CachedEstimator

getExpectedValue(DensityEstimator, double, double) - Static method in class weka.estimators.density.tools.DensityEstimatorProps

getFunction() - Method in class weka.tools.numericIntegration.AIntegrator

getFunction() - Method in interface weka.tools.numericIntegration.Integrator

Get the integration function

getIntegrator() - Method in class weka.tools.numericIntegration.UnivariateIntegratorWrapper

getInversePermutation() - Method in class weka.intPermutation.IntPermutation

Generates inverse permutation

getKernel() - Method in class weka.estimators.density.AbstractKernelEstimator

getKernel() - Method in interface weka.estimators.density.KernelDensityEstimator

getKernelCDFValue(double) - Method in interface weka.estimators.density.Kernel

Returns the kernel CDF value for given x.

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.CosineKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.EpanechnikovKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.GaussianKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.GaussianKernelFast

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.LogisticKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.QuarticKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.RectangularKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.SigmoidKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.TriangularKernel

getKernelCDFValue(double) - Method in class weka.estimators.density.kernels.TriweightKernel

getKernelPDFValue(double) - Method in interface weka.estimators.density.Kernel

Returns the kernel PDF value for given x.

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.CosineKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.EpanechnikovKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.GaussianKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.GaussianKernelFast

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.LogisticKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.QuarticKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.RectangularKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.SigmoidKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.TriangularKernel

getKernelPDFValue(double) - Method in class weka.estimators.density.kernels.TriweightKernel

getKernEstim() - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

getKernEstim() - Method in class weka.estimators.density.BoundedEstimator

getLowerBound() - Method in class weka.estimators.density.BoundedEstimator

getLowerBound() - Method in class weka.tools.numericIntegration.AIntegrator

getLowerBound() - Method in interface weka.tools.numericIntegration.Integrator

Get the lower bound for the integration

getMax() - Method in class weka.intPermutation.IntPermutation

getMaxDist() - Method in class weka.intPermutation.distance.AdjacencyDistance

getMaxDist() - Method in class weka.intPermutation.distance.CayleyDistance

getMaxDist() - Method in class weka.intPermutation.distance.HammingDistance

getMaxDist() - Method in interface weka.intPermutation.distance.IntPermDistanceCalc

getMaxDist() - Method in interface weka.intPermutation.distance.IntPermSetDistance

getMaxDist() - Method in class weka.intPermutation.distance.PairwisePermDistanceCalculator

getMaxDist() - Method in class weka.intPermutation.distance.PositionalDistance

getMaxDist() - Method in class weka.intPermutation.distance.PrecedenceDistance

getMaxDist() - Method in class weka.intPermutation.distance.SwapDistance

getMaxDist() - Method in class weka.intPermutation.distance.UlamDistance

getMaxEval() - Method in class weka.tools.numericIntegration.UnivariateIntegratorWrapper

getMaxNumNominalValues() - Method in class weka.tools.data.RandomDataGenerator

getMaxValue() - Method in interface weka.intPermutation.distance.IntPermSetObjectDistance

Returns maximum value of distance

getMaxValue() - Method in class weka.intPermutation.distance.SetObjDistanceCalculator

getMin() - Method in class weka.intPermutation.IntPermutation

getMinDist() - Method in class weka.intPermutation.distance.AdjacencyDistance

getMinDist() - Method in class weka.intPermutation.distance.CayleyDistance

getMinDist() - Method in class weka.intPermutation.distance.HammingDistance

getMinDist() - Method in interface weka.intPermutation.distance.IntPermDistanceCalc

getMinDist() - Method in interface weka.intPermutation.distance.IntPermSetDistance

getMinDist() - Method in class weka.intPermutation.distance.PairwisePermDistanceCalculator

getMinDist() - Method in class weka.intPermutation.distance.PositionalDistance

getMinDist() - Method in class weka.intPermutation.distance.PrecedenceDistance

getMinDist() - Method in class weka.intPermutation.distance.SwapDistance

getMinDist() - Method in class weka.intPermutation.distance.UlamDistance

getMinH() - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

Returns min allowed bandwidth

getMinValue() - Method in interface weka.intPermutation.distance.IntPermSetObjectDistance

Returns minimum value of distance

getMinValue() - Method in class weka.intPermutation.distance.SetObjDistanceCalculator

getMoment(DensityEstimator, double, double, double) - Static method in class weka.estimators.density.tools.DensityEstimatorProps

getNumClasses() - Method in class weka.tools.data.RandomDataGenerator

getNumNominalAttributes() - Method in class weka.tools.data.RandomDataGenerator

getNumNumericAttributes() - Method in class weka.tools.data.RandomDataGenerator

getNumObjects() - Method in class weka.tools.data.RandomDataGenerator

getNumSamples() - Method in class weka.tools.numericIntegration.RandomisedIntegrator

getNumVals() - Method in class weka.tools.WeightedValuesHolder

getOptions() - Method in class weka.estimators.density.AbstractKernelEstimator

getOptions() - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

getOptions() - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

getOptions() - Method in class weka.estimators.density.BoundedEstimator

getOptions() - Method in class weka.estimators.density.CachedEstimator

getPDF(double) - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

getPDF(double) - Method in class weka.estimators.density.BoundedEstimator

getPDF(double) - Method in class weka.estimators.density.CachedEstimator

getPDF(double) - Method in interface weka.estimators.density.DensityEstimator

Gets Probability Density Function for given x

getPDF(double) - Method in class weka.estimators.density.SimpleKernelEstimator

getPDF(double) - Method in class weka.estimators.density.WeightedKernelEstimator

getScaleFactor() - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

Gets the scale factor used to sale the bandwidth found

getSecMoment(DensityEstimator, double, double) - Static method in class weka.estimators.density.tools.DensityEstimatorProps

getSeed() - Method in class weka.tools.data.RandomDataGenerator

getSeed() - Method in class weka.tools.numericIntegration.RandomisedIntegrator

getSequenceLength() - Method in class weka.tools.numericIntegration.SimpleIntegrator

getStandarizedMoment(DensityEstimator, double, double, double) - Static method in class weka.estimators.density.tools.DensityEstimatorProps

getUpperBound() - Method in class weka.estimators.density.BoundedEstimator

getUpperBound() - Method in class weka.tools.numericIntegration.AIntegrator

getUpperBound() - Method in interface weka.tools.numericIntegration.Integrator

Get the upper bound for the integration

getValue(int) - Method in class weka.tools.WeightedValuesHolder

getValues() - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

getValues() - Method in class weka.estimators.density.BoundedEstimator

getValues() - Method in class weka.estimators.density.CachedEstimator

getValues() - Method in interface weka.estimators.density.DensityEstimator

Get values added to the estimator

getValues() - Method in class weka.estimators.density.SimpleKernelEstimator

getValues() - Method in class weka.estimators.density.WeightedKernelEstimator

getVariance(DensityEstimator, double, double) - Static method in class weka.estimators.density.tools.DensityEstimatorProps

getWeight(int) - Method in class weka.tools.WeightedValuesHolder

getWeights() - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

getWeights() - Method in class weka.estimators.density.BoundedEstimator

getWeights() - Method in class weka.estimators.density.CachedEstimator

getWeights() - Method in interface weka.estimators.density.DensityEstimator

Get weights of the stored values/samples

getWeights() - Method in class weka.estimators.density.SimpleKernelEstimator

getWeights() - Method in class weka.estimators.density.WeightedKernelEstimator

globalInfo() - Method in interface weka.tools.GlobalInfoHandler

Returns the globalInfo

GlobalInfoHandler - Interface in weka.tools

H

HamaherSNorm - Class in weka.tools.fuzzyNorms.sNorms

Calculate the Hamaher norm for two values

HamaherSNorm() - Constructor for class weka.tools.fuzzyNorms.sNorms.HamaherSNorm

HamaherTNorm - Class in weka.tools.fuzzyNorms.tNorms

Calculate the Hamaher norm for two values

HamaherTNorm() - Constructor for class weka.tools.fuzzyNorms.tNorms.HamaherTNorm

HammingDistance - Class in weka.intPermutation.distance

Hamming distance according to Deza, M Huang, T

HammingDistance() - Constructor for class weka.intPermutation.distance.HammingDistance

hashCode() - Method in class weka.core.DenseInstanceFast

I

InstancesOperator - Class in weka.tools.data

InstancesOperator() - Constructor for class weka.tools.data.InstancesOperator

InstancesTools - Class in weka.tools

InstancesTools() - Constructor for class weka.tools.InstancesTools

integrate() - Method in interface weka.tools.numericIntegration.Integrator

Calculate the integral \int_{lower_bound}^{upper_bound}function(x)dx

integrate() - Method in class weka.tools.numericIntegration.MonteCarloSimpleIntegrator

integrate() - Method in class weka.tools.numericIntegration.SimpsonsIntegrator

integrate() - Method in class weka.tools.numericIntegration.TrapezoidalIntegrator

integrate() - Method in class weka.tools.numericIntegration.UnivariateIntegratorWrapper

Integrator - Interface in weka.tools.numericIntegration

An interface for classes performing numeric integration

IntPermDistanceCalc - Interface in weka.intPermutation.distance

Interface that allows to calculate distance between two compatible permutations

IntPermSetDistance - Interface in weka.intPermutation.distance

Interface for an object that calculates average distance between set of permutations

IntPermSetObjectDistance - Interface in weka.intPermutation.distance

Calculates average distances for set of permutations

IntPermutation - Class in weka.intPermutation

Class implements permutation of integers

IntPermutation(int[]) - Constructor for class weka.intPermutation.IntPermutation

Builds permutation object using given array

IntPermutation(int) - Constructor for class weka.intPermutation.IntPermutation

IntPermutationOperator - Class in weka.intPermutation

Operates on permutations of string of positive integer numbers The zero permutation is: min,min+1,min+2,...

IntPermutationOperator() - Constructor for class weka.intPermutation.IntPermutationOperator

isAddClassAttrib() - Method in class weka.tools.data.RandomDataGenerator

isAllowUnary() - Method in class weka.tools.data.RandomDataGenerator

isConsistentWith(IntPermutation) - Method in class weka.intPermutation.IntPermutation

Checks if the object is consistent with given permutation

isCorrect(int[]) - Static method in class weka.intPermutation.IntPermutationOperator

isDebug() - Method in interface weka.core.Debuggable

K

Kernel - Interface in weka.estimators.density

Kernel function for kernel estimators

KernelDensityEstimator - Interface in weka.estimators.density

An interface for Kernel Density Estimator

kernelTipText() - Method in class weka.estimators.density.AbstractKernelEstimator

kernEstimTipText() - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

kernEstimTipText() - Method in class weka.estimators.density.BoundedEstimator

L

Linspace - Class in weka.tools

The class contains static methods that calculates linspaces (like in Matlab or R).

Linspace() - Constructor for class weka.tools.Linspace

listOptions() - Method in class weka.estimators.density.AbstractKernelEstimator

listOptions() - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

listOptions() - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

listOptions() - Method in class weka.estimators.density.BoundedEstimator

listOptions() - Method in class weka.estimators.density.CachedEstimator

LogisticKernel - Class in weka.estimators.density.kernels

Logistic kernel

LogisticKernel() - Constructor for class weka.estimators.density.kernels.LogisticKernel

lowerBoundTipText() - Method in class weka.estimators.density.BoundedEstimator

LukasiewiczSNorm - Class in weka.tools.fuzzyNorms.sNorms

Calculate the Lukasiewicz norm for two values

LukasiewiczSNorm() - Constructor for class weka.tools.fuzzyNorms.sNorms.LukasiewiczSNorm

LukasiewiczTNorm - Class in weka.tools.fuzzyNorms.tNorms

Calculate the Lukasiewicz norm for two values

LukasiewiczTNorm() - Constructor for class weka.tools.fuzzyNorms.tNorms.LukasiewiczTNorm

M

main(String[]) - Static method in class weka.tools.data.InstancesOperator

makeCopy(Object) - Static method in class weka.tools.SerialCopier

MaximalSmoothingPrincipleBandwidthSelectionKernel - Class in weka.estimators.density.bandwidthFinders

The class implements bandwidth selection using Maximal Smoothing principle.

MaximalSmoothingPrincipleBandwidthSelectionKernel() - Constructor for class weka.estimators.density.bandwidthFinders.MaximalSmoothingPrincipleBandwidthSelectionKernel

MaxSNorm - Class in weka.tools.fuzzyNorms.sNorms

Calculate the Max norm for two values

MaxSNorm() - Constructor for class weka.tools.fuzzyNorms.sNorms.MaxSNorm

median(double[]) - Static method in class weka.core.UtilsPT

mergeInstance(Instance) - Method in class weka.core.DenseInstanceFast

minHTipText() - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

MinTNorm - Class in weka.tools.fuzzyNorms.tNorms

Calculate the Min norm for two values

MinTNorm() - Constructor for class weka.tools.fuzzyNorms.tNorms.MinTNorm

MonteCarloSimpleIntegrator - Class in weka.tools.numericIntegration

Monte Carlo integratoin

MonteCarloSimpleIntegrator() - Constructor for class weka.tools.numericIntegration.MonteCarloSimpleIntegrator

N

NilpotentTNorm - Class in weka.tools.fuzzyNorms.tNorms

Calculate the Nilpotent norm for two values

NilpotentTNorm() - Constructor for class weka.tools.fuzzyNorms.tNorms.NilpotentTNorm

normalizeData(Instances) - Static method in class weka.tools.data.InstancesOperator

Normalizes data to interval [0,1] for each attribute

NUM_SAMPLES - Static variable in class weka.estimators.density.tools.DensityEstimatorProps

O

objPerClass(Instances) - Static method in class weka.tools.data.InstancesOperator

Counts the number of objects per class

OptionTools - Class in weka.tools

OptionTools() - Constructor for class weka.tools.OptionTools

P

PairwisePermDistanceCalculator - Class in weka.intPermutation.distance

Calculate pairwise distances for set of permutations

PairwisePermDistanceCalculator(IntPermDistanceCalc) - Constructor for class weka.intPermutation.distance.PairwisePermDistanceCalculator

parseDoubleOption(String[], String, double) - Static method in class weka.core.UtilsPT

Parses the double option from options.

parseIntegerOption(String[], String, int) - Static method in class weka.core.UtilsPT

Parses the integer option from options.

parseObjectOptions(String[], String, Object, Class<?>) - Static method in class weka.core.UtilsPT

Parses Object from options.

PositionalDistance - Class in weka.intPermutation.distance

Deviation distance according to: Sevaux, M Sörensen, K

PositionalDistance() - Constructor for class weka.intPermutation.distance.PositionalDistance

PrecedenceDistance - Class in weka.intPermutation.distance

Precedence distance

PrecedenceDistance() - Constructor for class weka.intPermutation.distance.PrecedenceDistance

printPermutation(int[], BufferedWriter) - Static method in class weka.intPermutation.IntPermutationOperator

printPermutation(int[]) - Static method in class weka.intPermutation.IntPermutationOperator

ProdTNorm - Class in weka.tools.fuzzyNorms.tNorms

Calculate the product norm for two values

ProdTNorm() - Constructor for class weka.tools.fuzzyNorms.tNorms.ProdTNorm

productPermutation(IntPermutation) - Method in class weka.intPermutation.IntPermutation

Computes product(composition) of permuataions this * perm According to: Biggs, Norman L.; White, A.

Q

quantile(double[], double) - Static method in class weka.core.UtilsPT

Calculates q-order quantile from the sample

QuarticKernel - Class in weka.estimators.density.kernels

Quartic kernel

QuarticKernel() - Constructor for class weka.estimators.density.kernels.QuarticKernel

R

RandomDataGenerator - Class in weka.tools.data

RandomDataGenerator() - Constructor for class weka.tools.data.RandomDataGenerator

RandomisedIntegrator - Class in weka.tools.numericIntegration

Common class to the randomised integration

RandomisedIntegrator() - Constructor for class weka.tools.numericIntegration.RandomisedIntegrator

RectangularKernel - Class in weka.estimators.density.kernels

Rectangle kernel -- Uniform distribution on [0;1]

RectangularKernel() - Constructor for class weka.estimators.density.kernels.RectangularKernel

reversePermutation(int[]) - Static method in class weka.intPermutation.IntPermutationOperator

ROIFinder - Class in weka.estimators.density.tools

ROIFinder() - Constructor for class weka.estimators.density.tools.ROIFinder

S

scaleFactorTipText() - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

SerialCopier - Class in weka.tools

SerialCopier() - Constructor for class weka.tools.SerialCopier

SerializationTester - Class in weka.tools

Object that checks serialization

SerializationTester() - Constructor for class weka.tools.SerializationTester

setAddClassAttrib(boolean) - Method in class weka.tools.data.RandomDataGenerator

setAllowUnary(boolean) - Method in class weka.tools.data.RandomDataGenerator

setBandwidth(double) - Method in class weka.estimators.density.AbstractKernelEstimator

setBandwidth(double) - Method in interface weka.estimators.density.KernelDensityEstimator

setDebug(boolean) - Method in interface weka.core.Debuggable

setDebug(Object, boolean) - Static method in class weka.core.DebugSetter

setDelta(double) - Method in class weka.tools.numericIntegration.SimpleIntegrator

setDensEstim(DensityEstimator) - Method in class weka.estimators.density.CachedEstimator

setFunction(Function) - Method in class weka.tools.numericIntegration.AIntegrator

setFunction(Function) - Method in interface weka.tools.numericIntegration.Integrator

Set the function to integrate;

setIntegrator(UnivariateIntegrator) - Method in class weka.tools.numericIntegration.UnivariateIntegratorWrapper

setKernel(Kernel) - Method in class weka.estimators.density.AbstractKernelEstimator

setKernel(Kernel) - Method in interface weka.estimators.density.KernelDensityEstimator

setKernEstim(KernelDensityEstimator) - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

setKernEstim(DensityEstimator) - Method in class weka.estimators.density.BoundedEstimator

setLowerBound(double) - Method in class weka.estimators.density.BoundedEstimator

setLowerBound(double) - Method in class weka.tools.numericIntegration.AIntegrator

setLowerBound(double) - Method in interface weka.tools.numericIntegration.Integrator

Set the lower bound for the integration

setLowerBound(double) - Method in class weka.tools.numericIntegration.SimpleIntegrator

setMaxEval(int) - Method in class weka.tools.numericIntegration.UnivariateIntegratorWrapper

setMaxNumNominalValues(int) - Method in class weka.tools.data.RandomDataGenerator

setMinH(double) - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

Sets min allowed bandwidth

setNumClasses(int) - Method in class weka.tools.data.RandomDataGenerator

setNumNominalAttributes(int) - Method in class weka.tools.data.RandomDataGenerator

setNumNumericAttributes(int) - Method in class weka.tools.data.RandomDataGenerator

setNumObjects(int) - Method in class weka.tools.data.RandomDataGenerator

setNumSamples(int) - Method in class weka.tools.numericIntegration.RandomisedIntegrator

SetObjDistanceCalculator - Class in weka.intPermutation.distance

Calculate distances for set of permutations

SetObjDistanceCalculator(IntPermDistanceCalc) - Constructor for class weka.intPermutation.distance.SetObjDistanceCalculator

setOptions(String[]) - Method in class weka.estimators.density.AbstractKernelEstimator

setOptions(String[]) - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

setOptions(String[]) - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

setOptions(String[]) - Method in class weka.estimators.density.BoundedEstimator

setOptions(String[]) - Method in class weka.estimators.density.CachedEstimator

setScaleFactor(double) - Method in class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

Sets the scale factor used to sale the bandwidth found

setSeed(int) - Method in class weka.tools.data.RandomDataGenerator

setSeed(int) - Method in class weka.tools.numericIntegration.RandomisedIntegrator

setSequenceLength(int) - Method in class weka.tools.numericIntegration.SimpleIntegrator

setUpperBound(double) - Method in class weka.estimators.density.BoundedEstimator

setUpperBound(double) - Method in class weka.tools.numericIntegration.AIntegrator

setUpperBound(double) - Method in interface weka.tools.numericIntegration.Integrator

Set the upper bound for the integration

setUpperBound(double) - Method in class weka.tools.numericIntegration.SimpleIntegrator

shufflePermutation(int) - Method in class weka.intPermutation.IntPermutation

shufflePermutation(int[], int) - Static method in class weka.intPermutation.IntPermutationOperator

SigmoidKernel - Class in weka.estimators.density.kernels

Sigmoid Kernel

SigmoidKernel() - Constructor for class weka.estimators.density.kernels.SigmoidKernel

SilvermanBandwidthSelectionKernel - Class in weka.estimators.density.bandwidthFinders

Implements Silverman's bandwidth selection rule

SilvermanBandwidthSelectionKernel() - Constructor for class weka.estimators.density.bandwidthFinders.SilvermanBandwidthSelectionKernel

SimpleBandwidthFinder - Class in weka.estimators.density.bandwidthFinders

SimpleBandwidthFinder() - Constructor for class weka.estimators.density.bandwidthFinders.SimpleBandwidthFinder

SimpleIntegrator - Class in weka.tools.numericIntegration

Simple integration with a uniform sequence.

SimpleIntegrator() - Constructor for class weka.tools.numericIntegration.SimpleIntegrator

SimpleKernelEstimator - Class in weka.estimators.density

Simple kernel estimator

SimpleKernelEstimator() - Constructor for class weka.estimators.density.SimpleKernelEstimator

SimpsonsIntegrator - Class in weka.tools.numericIntegration

Performs numerical integration using Simpsons rule

SimpsonsIntegrator() - Constructor for class weka.tools.numericIntegration.SimpsonsIntegrator

softMax(double[]) - Static method in class weka.core.UtilsPT

Calculates soft-max of the array

softMin(double[]) - Static method in class weka.core.UtilsPT

Calculates soft-min of the array

splitSet(Instances, double, int) - Static method in class weka.tools.data.InstancesOperator

Splits input set into two sets according to splitCoeff First set crdinality -> numOfInstances*splitCoeff Second set crdinality -> numOfInstances*(1-splitCoeff)

splitSet(Instances, double) - Static method in class weka.tools.data.InstancesOperator

Splits input set into two sets according to splitCoeff First set crdinality -> numOfInstances*splitCoeff Second set crdinality -> numOfInstances*(1-splitCoeff)

splItSet(Instances, int) - Static method in class weka.tools.data.InstancesOperator

Splits input set into two sets according to firstSetNum First set -> first firstSetNum instances Second set -> remaining instances Does not shuffle

standarizeData(Instances) - Static method in class weka.tools.data.InstancesOperator

Standarize data for 0 mean and unit variance

stdDev(double[]) - Static method in class weka.core.UtilsPT

Calculates standard deviation of the sample (array)

strArraysConcat(List<String[]>) - Static method in class weka.tools.OptionTools

Concatenates a list of string arrays

stratifiedSplitSet(Instances, double, int) - Static method in class weka.tools.data.InstancesOperator

Splits input set into two sets according to splitCoeff First set crdinality -> numOfInstances*splitCoeff Second set crdinality -> numOfInstances*(1-splitCoeff) Stratified splitt

supportLower() - Method in interface weka.estimators.density.Kernel

Get lower value of kernel support

supportLower() - Method in class weka.estimators.density.kernels.CosineKernel

supportLower() - Method in class weka.estimators.density.kernels.EpanechnikovKernel

supportLower() - Method in class weka.estimators.density.kernels.GaussianKernel

supportLower() - Method in class weka.estimators.density.kernels.GaussianKernelFast

supportLower() - Method in class weka.estimators.density.kernels.LogisticKernel

supportLower() - Method in class weka.estimators.density.kernels.QuarticKernel

supportLower() - Method in class weka.estimators.density.kernels.RectangularKernel

supportLower() - Method in class weka.estimators.density.kernels.SigmoidKernel

supportLower() - Method in class weka.estimators.density.kernels.TriangularKernel

supportLower() - Method in class weka.estimators.density.kernels.TriweightKernel

supportUpper() - Method in interface weka.estimators.density.Kernel

Get upper value of kernel support

supportUpper() - Method in class weka.estimators.density.kernels.CosineKernel

supportUpper() - Method in class weka.estimators.density.kernels.EpanechnikovKernel

supportUpper() - Method in class weka.estimators.density.kernels.GaussianKernel

supportUpper() - Method in class weka.estimators.density.kernels.GaussianKernelFast

supportUpper() - Method in class weka.estimators.density.kernels.LogisticKernel

supportUpper() - Method in class weka.estimators.density.kernels.QuarticKernel

supportUpper() - Method in class weka.estimators.density.kernels.RectangularKernel

supportUpper() - Method in class weka.estimators.density.kernels.SigmoidKernel

supportUpper() - Method in class weka.estimators.density.kernels.TriangularKernel

supportUpper() - Method in class weka.estimators.density.kernels.TriweightKernel

SwapDistance - Class in weka.intPermutation.distance

Kendall's Tau, according to Sevaux, M Sörensen, K

SwapDistance() - Constructor for class weka.intPermutation.distance.SwapDistance

T

toDoubleArray() - Method in class weka.core.DenseInstanceFast

toString() - Method in class weka.estimators.density.AbstractKernelEstimator

toString() - Method in class weka.estimators.density.bandwidthFinders.SilvermanBandwidthSelectionKernel

toString() - Method in class weka.estimators.density.BandwidthSelectionKernelEstimator

toString() - Method in class weka.estimators.density.BoundedEstimator

toString() - Method in class weka.estimators.density.kernels.CosineKernel

toString() - Method in class weka.estimators.density.kernels.EpanechnikovKernel

toString() - Method in class weka.estimators.density.kernels.GaussianKernel

toString() - Method in class weka.estimators.density.kernels.GaussianKernelFast

toString() - Method in class weka.estimators.density.kernels.QuarticKernel

toString() - Method in class weka.estimators.density.kernels.RectangularKernel

toString() - Method in class weka.estimators.density.kernels.TriangularKernel

toString() - Method in class weka.estimators.density.kernels.TriweightKernel

toString() - Method in class weka.intPermutation.IntPermutation

TrapezoidalIntegrator - Class in weka.tools.numericIntegration

Trapezoidal integration

TrapezoidalIntegrator() - Constructor for class weka.tools.numericIntegration.TrapezoidalIntegrator

TriangularKernel - Class in weka.estimators.density.kernels

Triangular kernel

TriangularKernel() - Constructor for class weka.estimators.density.kernels.TriangularKernel

TriweightKernel - Class in weka.estimators.density.kernels

Triweight kernel

TriweightKernel() - Constructor for class weka.estimators.density.kernels.TriweightKernel

truncatedMean(double[]) - Static method in class weka.core.UtilsPT

Calculated the truncated mean for the given array

U

UlamDistance - Class in weka.intPermutation.distance

Ulam distance of two permutations

UlamDistance() - Constructor for class weka.intPermutation.distance.UlamDistance

UnivariateIntegratorWrapper - Class in weka.tools.numericIntegration

UnivariateIntegratorWrapper() - Constructor for class weka.tools.numericIntegration.UnivariateIntegratorWrapper

upperBoundTipText() - Method in class weka.estimators.density.BoundedEstimator

UtilsPT - Class in weka.core

UtilsPT() - Constructor for class weka.core.UtilsPT

V

value(double) - Method in class weka.tools.numericIntegration.DummyFunction

valueOf(String) - Static method in enum weka.tools.data.AttributeCounter.Type

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

values() - Static method in enum weka.tools.data.AttributeCounter.Type

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

var(double[]) - Static method in class weka.core.UtilsPT

Calculate variance of the sample (array)

W

WeightedKernelEstimator - Class in weka.estimators.density

Weighted kernel estimator

WeightedKernelEstimator() - Constructor for class weka.estimators.density.WeightedKernelEstimator

WeightedValuesHolder - Class in weka.tools

Stores a set of weighted values

WeightedValuesHolder() - Constructor for class weka.tools.WeightedValuesHolder

weka.core - package weka.core

weka.estimators.density - package weka.estimators.density

weka.estimators.density.bandwidthFinders - package weka.estimators.density.bandwidthFinders

weka.estimators.density.kernels - package weka.estimators.density.kernels

weka.estimators.density.tools - package weka.estimators.density.tools

weka.intPermutation - package weka.intPermutation

weka.intPermutation.distance - package weka.intPermutation.distance

weka.tools - package weka.tools

weka.tools.data - package weka.tools.data

weka.tools.fuzzyNorms - package weka.tools.fuzzyNorms

weka.tools.fuzzyNorms.sNorms - package weka.tools.fuzzyNorms.sNorms

weka.tools.fuzzyNorms.tNorms - package weka.tools.fuzzyNorms.tNorms

weka.tools.numericIntegration - package weka.tools.numericIntegration

weka.tools.tests - package weka.tools.tests

WekaGOEChecker - Class in weka.tools.tests

WekaGOEChecker() - Constructor for class weka.tools.tests.WekaGOEChecker

A B C D E F G H I K L M N O P Q R S T U V W