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

R

rand() - Static method in class org.knowceans.util.Cokus

randAntoniak(double, int) - Static method in class org.knowceans.util.Samplers

sample number of components m that a DP(alpha, G0) has after n samples.

randBernoulli(double) - Method in class org.knowceans.util.CokusDistributionSampler

draw a Bernoulli sample.

randBernoulli(double) - Method in class org.knowceans.util.RandomSamplers

draw a Bernoulli sample.

randBernoulli(double) - Static method in class org.knowceans.util.Samplers

draw a Bernoulli sample.

randBeta(double, double) - Method in class org.knowceans.util.CokusDistributionSampler

beta as two-dimensional Dirichlet

randBeta(double[], double[]) - Method in class org.knowceans.util.CokusDistributionSampler

randbeta(aa, bb) Generates beta samples, one for each element in aa/bb, and scale 1.

randBeta(double, double) - Method in class org.knowceans.util.RandomSamplers

beta as two-dimensional Dirichlet

randBeta(double[], double[]) - Method in class org.knowceans.util.RandomSamplers

randbeta(aa, bb) Generates beta samples, one for each element in aa/bb, and scale 1.

randBeta(double, double) - Static method in class org.knowceans.util.Samplers

beta as two-dimensional Dirichlet

randBeta(double[], double[]) - Static method in class org.knowceans.util.Samplers

randbeta(aa, bb) Generates beta samples, one for each element in aa/bb, and scale 1.

randBinom(double, double) - Method in class org.knowceans.util.CokusDistributionSampler

draw a binomial sample (by counting Bernoulli samples).

randBinom(double, double) - Method in class org.knowceans.util.RandomSamplers

draw a binomial sample (by counting Bernoulli samples).

randBinom(double, double) - Static method in class org.knowceans.util.Samplers

draw a binomial sample (by counting Bernoulli samples).

randConParam(double, int, int[], int[], double, double, int) - Method in class org.knowceans.util.CokusDistributionSampler

randconparam(alpha,numdata,numclass,aa,bb,numiter) Generates a sample from a concentration parameter of a HDP with gamma(aa,bb) prior, and number of classes and data items given in numdata, numclass (has to be row vectors).

randConParam(double, int, int, double, double, int) - Method in class org.knowceans.util.CokusDistributionSampler

Sample the Dirichlet process concetration parameter given the topic and data counts and gamma hyperparameters alphaa and alphab.

randConParam(double, int, int[], int[], double, double, int) - Method in class org.knowceans.util.RandomSamplers

randconparam(alpha,numdata,numclass,aa,bb,numiter) Generates a sample from a concentration parameter of a HDP with gamma(aa,bb) prior, and number of classes and data items given in numdata, numclass (has to be row vectors).

randConParam(double, int, int, double, double, int) - Method in class org.knowceans.util.RandomSamplers

Sample the Dirichlet process concetration parameter given the topic and data counts and gamma hyperparameters alphaa and alphab.

randConParam(double, int, int[], int[], double, double, int) - Static method in class org.knowceans.util.Samplers

randconparam(alpha,numdata,numclass,aa,bb,numiter) Generates a sample from a concentration parameter of a HDP with gamma(aa,bb) prior, and number of classes and data items given in numdata, numclass (has to be row vectors).

randConParam(double, int, int, double, double, int) - Static method in class org.knowceans.util.Samplers

Sample the Dirichlet process concetration parameter given the topic and data counts and gamma hyperparameters alphaa and alphab.

randCrp(double, int) - Method in class org.knowceans.util.CokusDistributionSampler

randCrp(double[], int) - Method in class org.knowceans.util.CokusDistributionSampler

[cc numclass] = randcrp(alpha,numdata) Generates a partition of numdata items with concentration parameter alpha, which can be an array, in which case the Chinese restaurant process has "two new tables to chose for each new customer".

randCrp(double, int) - Method in class org.knowceans.util.RandomSamplers

randCrp(double[], int) - Method in class org.knowceans.util.RandomSamplers

[cc numclass] = randcrp(alpha,numdata) Generates a partition of numdata items with concentration parameter alpha, which can be an array, in which case the Chinese restaurant process has "two new tables to chose for each new customer".

randCrp(double, int) - Static method in class org.knowceans.util.Samplers

randCrp(double[], int) - Static method in class org.knowceans.util.Samplers

[cc numclass] = randcrp(alpha,numdata) Generates a partition of numdata items with concentration parameter alpha, which can be an array, in which case the Chinese restaurant process has "two new tables to chose for each new customer".

randDir(double, int) - Method in class org.knowceans.util.CokusDistributionSampler

symmetric Dirichlet sample.

randDir(double[]) - Method in class org.knowceans.util.CokusDistributionSampler

randdir(aa) generates one Dirichlet sample vector according to the parameters alpha.

randDir(double[], double) - Method in class org.knowceans.util.CokusDistributionSampler

randdir(aa) generates one Dirichlet sample vector according to the parameters alpha.

randDir(double[][], int) - Method in class org.knowceans.util.CokusDistributionSampler

Generate as many Dirichlet column samples as there are columns (direction = 1; randdir(A, 1)) or row samples as there are rows (direction = 2, randdir(A, 2)) in aa (aa[][]), taking the respective parameters.

randDir(double[], int) - Method in class org.knowceans.util.CokusDistributionSampler

Generate n Dirichlet samples taking parameters aa.

randDir(double, int) - Method in class org.knowceans.util.RandomSamplers

symmetric Dirichlet sample.

randDir(double[]) - Method in class org.knowceans.util.RandomSamplers

randdir(aa) generates one Dirichlet sample vector according to the parameters alpha.

randDir(double[], double) - Method in class org.knowceans.util.RandomSamplers

randdir(aa) generates one Dirichlet sample vector according to the parameters alpha.

randDir(double[][], int) - Method in class org.knowceans.util.RandomSamplers

Generate as many Dirichlet column samples as there are columns (direction = 1; randdir(A, 1)) or row samples as there are rows (direction = 2, randdir(A, 2)) in aa (aa[][]), taking the respective parameters.

randDir(double[], int) - Method in class org.knowceans.util.RandomSamplers

Generate n Dirichlet samples taking parameters aa.

randDir(double, int) - Static method in class org.knowceans.util.Samplers

symmetric Dirichlet sample.

randDir(double[]) - Static method in class org.knowceans.util.Samplers

randdir(aa) generates one Dirichlet sample vector according to the parameters alpha.

randDir(double[], double) - Static method in class org.knowceans.util.Samplers

randdir(aa) generates one Dirichlet sample vector according to the parameters alpha.

randDir(double[][], int) - Static method in class org.knowceans.util.Samplers

Generate as many Dirichlet column samples as there are columns (direction = 1; randdir(A, 1)) or row samples as there are rows (direction = 2, randdir(A, 2)) in aa (aa[][]), taking the respective parameters.

randDir(double[], int) - Static method in class org.knowceans.util.Samplers

Generate n Dirichlet samples taking parameters aa.

randDmm(double[], double[][], double[]) - Method in class org.knowceans.util.CokusDistributionSampler

DMM sampling

randDmm(double[], double[][], double[], int[]) - Method in class org.knowceans.util.CokusDistributionSampler

DMM sampling

randDmm(int, double[], double[][], double[]) - Method in class org.knowceans.util.CokusDistributionSampler

DMM sampling

randDmm(int, double[], double[][], double[], int[]) - Method in class org.knowceans.util.CokusDistributionSampler

DMM sampling

randDmm(double[], double[][], double[]) - Method in class org.knowceans.util.RandomSamplers

DMM sampling

randDmm(double[], double[][], double[], int[]) - Method in class org.knowceans.util.RandomSamplers

DMM sampling

randDmm(int, double[], double[][], double[]) - Method in class org.knowceans.util.RandomSamplers

DMM sampling

randDmm(int, double[], double[][], double[], int[]) - Method in class org.knowceans.util.RandomSamplers

DMM sampling

randDmm(double[], double[][], double[]) - Static method in class org.knowceans.util.Samplers

DMM sampling

randDmm(double[], double[][], double[], int[]) - Static method in class org.knowceans.util.Samplers

DMM sampling

randDmm(int, double[], double[][], double[]) - Static method in class org.knowceans.util.Samplers

DMM sampling

randDmm(int, double[], double[][], double[], int[]) - Static method in class org.knowceans.util.Samplers

DMM sampling

randDouble() - Static method in class org.knowceans.util.Cokus

randDouble() - Method in class org.knowceans.util.CokusRandom

returns the next double between 0 and 1.

randDouble() - Method in class org.knowceans.util.CokusSampler

returns the next double between 0 and 1.

randGamma(double) - Method in class org.knowceans.util.CokusDistributionSampler

self-contained gamma generator.

randGamma(double[]) - Method in class org.knowceans.util.CokusDistributionSampler

randgamma(aa) Generates gamma samples, one for each element in aa.

randGamma(double, double) - Method in class org.knowceans.util.CokusDistributionSampler

sample from gamma distribution with defined shape a and scale b:

randGamma(double) - Method in class org.knowceans.util.RandomSamplers

self-contained gamma generator.

randGamma(double[]) - Method in class org.knowceans.util.RandomSamplers

randgamma(aa) Generates gamma samples, one for each element in aa.

randGamma(double, double) - Method in class org.knowceans.util.RandomSamplers

sample from gamma distribution with defined shape a and scale b:

randGamma(double) - Static method in class org.knowceans.util.Samplers

self-contained gamma generator.

randGamma(double[]) - Static method in class org.knowceans.util.Samplers

randgamma(aa) Generates gamma samples, one for each element in aa.

randGamma(double, double) - Static method in class org.knowceans.util.Samplers

sample from gamma distribution with defined shape a and scale b:

randGmm(double[], double[], double[]) - Method in class org.knowceans.util.CokusDistributionSampler

GMM sampling

randGmm(double[], double[], double[], int[]) - Method in class org.knowceans.util.CokusDistributionSampler

GMM sampling

randGmm(int, double[], double[], double[]) - Method in class org.knowceans.util.CokusDistributionSampler

GMM sampling

randGmm(int, double[], double[], double[], int[]) - Method in class org.knowceans.util.CokusDistributionSampler

GMM sampling

randGmm(double[], double[], double[]) - Method in class org.knowceans.util.RandomSamplers

GMM sampling

randGmm(double[], double[], double[], int[]) - Method in class org.knowceans.util.RandomSamplers

GMM sampling

randGmm(int, double[], double[], double[]) - Method in class org.knowceans.util.RandomSamplers

GMM sampling

randGmm(int, double[], double[], double[], int[]) - Method in class org.knowceans.util.RandomSamplers

GMM sampling

randGmm(double[], double[], double[]) - Static method in class org.knowceans.util.Samplers

GMM sampling

randGmm(double[], double[], double[], int[]) - Static method in class org.knowceans.util.Samplers

GMM sampling

randGmm(int, double[], double[], double[]) - Static method in class org.knowceans.util.Samplers

GMM sampling

randGmm(int, double[], double[], double[], int[]) - Static method in class org.knowceans.util.Samplers

GMM sampling

randMult(double[], int) - Method in class org.knowceans.util.CokusDistributionSampler

Multiply sample a multinomial distribution and return a vector with all samples.

randMult(double[]) - Method in class org.knowceans.util.CokusDistributionSampler

Creates one multinomial sample given the parameter vector pp.

randMult(double[], int) - Method in class org.knowceans.util.RandomSamplers

Multiply sample a multinomial distribution and return a vector with all samples.

randMult(double[]) - Method in class org.knowceans.util.RandomSamplers

Creates one multinomial sample given the parameter vector pp.

randMult(double[], int) - Static method in class org.knowceans.util.Samplers

Multiply sample a multinomial distribution and return a vector with all samples.

randMult(double[]) - Static method in class org.knowceans.util.Samplers

Creates one multinomial sample given the parameter vector pp.

randMultDirect(double[]) - Method in class org.knowceans.util.CokusDistributionSampler

Creates one multinomial sample given the parameter vector pp.

randMultDirect(double[], double) - Method in class org.knowceans.util.CokusDistributionSampler

Like randMultDirect, but the random number is given as argument.

randMultDirect(double[]) - Method in class org.knowceans.util.RandomSamplers

Creates one multinomial sample given the parameter vector pp.

randMultDirect(double[], double) - Method in class org.knowceans.util.RandomSamplers

Like randMultDirect, but the random number is given as argument.

randMultDirect(double[]) - Static method in class org.knowceans.util.Samplers

Creates one multinomial sample given the parameter vector pp.

randMultDirect(double[], double) - Static method in class org.knowceans.util.Samplers

Like randMultDirect, but the random number is given as argument.

randMultFreqs(double[], int) - Method in class org.knowceans.util.CokusDistributionSampler

Multiply sample a multinomial distribution and return a vector with category frequencies.

randMultFreqs(double[], int) - Method in class org.knowceans.util.RandomSamplers

Multiply sample a multinomial distribution and return a vector with category frequencies.

randMultFreqs(double[], int) - Static method in class org.knowceans.util.Samplers

Multiply sample a multinomial distribution and return a vector with category frequencies.

randMultSimple(double[]) - Method in class org.knowceans.util.CokusDistributionSampler

old version of the randMult method

randMultSimple(double[]) - Method in class org.knowceans.util.RandomSamplers

old version of the randMult method

randMultSimple(double[]) - Static method in class org.knowceans.util.Samplers

old version of the randMult method

randNorm(double, double) - Method in class org.knowceans.util.CokusDistributionSampler

uses same approach as java.util.Random()

randNorm(double, double) - Method in class org.knowceans.util.RandomSamplers

uses same approach as java.util.Random()

randNorm(double, double) - Static method in class org.knowceans.util.Samplers

uses same approach as java.util.Random()

randNumTable(double, int) - Method in class org.knowceans.util.CokusDistributionSampler

randnumtable(weights,maxtable) For each entry in weights and maxtables, generates the number of tables given concentration parameter (weights) and number of data items (maxtable).

randNumTable(double, int) - Method in class org.knowceans.util.RandomSamplers

randnumtable(weights,maxtable) For each entry in weights and maxtables, generates the number of tables given concentration parameter (weights) and number of data items (maxtable).

randNumTable(double, int) - Static method in class org.knowceans.util.Samplers

randnumtable(weights,maxtable) For each entry in weights and maxtables, generates the number of tables given concentration parameter (weights) and number of data items (maxtable).

RandomSamplers - Class in org.knowceans.util

Instance-based samplers with diverse sampling methods, including beta, gamma, multinomial, and Dirichlet distributions as well as Dirichlet processes, using Sethurahman's stick-breaking construction and Chinese restaurant process.

RandomSamplers() - Constructor for class org.knowceans.util.RandomSamplers

init random sampler using Mersenne twister with default seed.

RandomSamplers(Random) - Constructor for class org.knowceans.util.RandomSamplers

init random sampler with random number generator provided.

RandomSamplers.CrpData - Class in org.knowceans.util

data structure for a Chinese restaurant process CrpData

RandomSamplers.CrpData(int) - Constructor for class org.knowceans.util.RandomSamplers.CrpData

randPerm(int) - Method in class org.knowceans.util.CokusDistributionSampler

Random permutation of size elements (symbols '0'..

randPerm(int[]) - Method in class org.knowceans.util.CokusDistributionSampler

Random permutation of existing set of integers.

randPerm(int, int) - Method in class org.knowceans.util.CokusDistributionSampler

Hierarchical random permutation.

randPerm(int) - Method in class org.knowceans.util.RandomSamplers

Random permutation of size elements (symbols '0'..

randPerm(int[]) - Method in class org.knowceans.util.RandomSamplers

Random permutation of existing set of integers.

randPerm(int, int) - Method in class org.knowceans.util.RandomSamplers

Hierarchical random permutation.

randPerm(int) - Static method in class org.knowceans.util.Samplers

Random permutation of size elements (symbols '0'..

randPerm(int[]) - Method in class org.knowceans.util.Samplers

Random permutation of existing set of integers.

randStick(double[], int) - Method in class org.knowceans.util.CokusDistributionSampler

randstick(alpha,numclass) Generates stick-breaking weights with concentration parameter for numclass "sticks".

randStick(double[], int) - Method in class org.knowceans.util.RandomSamplers

randstick(alpha,numclass) Generates stick-breaking weights with concentration parameter for numclass "sticks".

randStick(double[], int) - Static method in class org.knowceans.util.Samplers

randstick(alpha,numclass) Generates stick-breaking weights with concentration parameter for numclass "sticks".

randString(int, byte[]) - Method in class org.knowceans.util.CokusDistributionSampler

create a random string of length alphanumeric characters.

randString(int, byte[]) - Method in class org.knowceans.util.RandomSamplers

create a random string of length alphanumeric characters.

randString(int, byte[]) - Static method in class org.knowceans.util.Samplers

create a random string of length alphanumeric characters.

randUint32() - Static method in class org.knowceans.util.Cokus

randUniform(double) - Method in class org.knowceans.util.CokusDistributionSampler

randUniform(int) - Method in class org.knowceans.util.CokusDistributionSampler

randUniform(double) - Method in class org.knowceans.util.RandomSamplers

randUniform(int) - Method in class org.knowceans.util.RandomSamplers

randUniform(double) - Static method in class org.knowceans.util.Samplers

randUniform(int) - Static method in class org.knowceans.util.Samplers

range(int, int, int) - Static method in class org.knowceans.util.Vectors

range(int, int) - Static method in class org.knowceans.util.Vectors

range(double, double, double) - Static method in class org.knowceans.util.Vectors

create sequence [start : step : end] of double values.

range(double, double) - Static method in class org.knowceans.util.Vectors

rangeComplement(int[], int) - Static method in class org.knowceans.util.Vectors

return the complement of the sorted subset of the set 0:length-1 in Matlab notation

RankingMap<K,V> - Class in org.knowceans.map

RankingMap allows sorting of two lists of items simultaneously.

RankingMap() - Constructor for class org.knowceans.map.RankingMap

RankingMap(boolean) - Constructor for class org.knowceans.map.RankingMap

Init with reverse ordering (reverse is not evaluated).

RankingMap(Comparator<? super K>) - Constructor for class org.knowceans.map.RankingMap

Init and specify Comparator for keys.

RankingMap(Map<K, Set<V>>) - Constructor for class org.knowceans.map.RankingMap

Create a ranking map from the map.

RankingMap(Map<K, Set<V>>, Comparator<? super K>) - Constructor for class org.knowceans.map.RankingMap

Create a ranking map from the map.

RankingMap.RankEntry - Class in org.knowceans.map

RankEntry is a special pendent to Map.Entry with a wider purpose and validity also after change of the RankingMap

RankingMap.RankEntry(K, V) - Constructor for class org.knowceans.map.RankingMap.RankEntry

read(String) - Method in class org.knowceans.corpus.NumCorpus

read a file in "pseudo-SVMlight" format.

read(DataInputStream, Object) - Static method in class org.knowceans.util.ArrayIo

generic method that calls the methods according to the type of the argument Object

read(String) - Static method in class org.knowceans.util.StopWatch

Read the current time the named watch is showing.

read() - Static method in class org.knowceans.util.StopWatch

Read the current time the default watch is showing.

readDoubleMatrix(DataInputStream) - Static method in class org.knowceans.util.ArrayIo

Read matrix from file.

readDoubleTensor(DataInputStream) - Static method in class org.knowceans.util.ArrayIo

readDoubleVector(DataInputStream) - Static method in class org.knowceans.util.ArrayIo

Read vector from file.

readFloatMatrix(DataInputStream) - Static method in class org.knowceans.util.ArrayIo

Read matrix from file.

readFloatVector(DataInputStream) - Static method in class org.knowceans.util.ArrayIo

Read vector from file.

readIntMatrix(DataInputStream) - Static method in class org.knowceans.util.ArrayIo

Read matrix from file.

readIntVector(DataInputStream) - Static method in class org.knowceans.util.ArrayIo

Read vector from file.

redirect(boolean) - Method in class org.knowceans.util.Arguments

Enable / disable redirection of pipe streams (default = disabled)

reduce(int, Random) - Method in class org.knowceans.corpus.NumCorpus

reduce the size of the corpus to ndocs maximum.

reducenorm(double[], double[]) - Method in class org.knowceans.util.FastMultinomial

This function is supposed to do two things: remove the current element abc from the exponentiated norm and calculate the norm of the remaining elements by the root.

region(int, int) - Method in class org.knowceans.util.PatternString

sets the region for this pattern string

regionEnd() - Method in class org.knowceans.util.PatternString

return the end of the internal matcher's region

regionStart() - Method in class org.knowceans.util.PatternString

return the start of the internal matcher's region

reload() - Static method in class org.knowceans.util.Cokus

reload the random number buffer

reload() - Method in class org.knowceans.util.CokusRandom

reload the random number buffer

reload() - Method in class org.knowceans.util.CokusSampler

reload the random number buffer

remove(Object) - Method in class org.knowceans.map.BijectiveHashMap

removes the key and its value from the map.

remove(Object) - Method in class org.knowceans.map.BijectiveTreeMap

removes the key and its value from the map.

remove(Object) - Method in class org.knowceans.map.CategoryMap

Note: does not remove element to preserve id integrity.

remove(X, Y) - Method in class org.knowceans.map.HashMultiMap

remove one value out of the set of values for one key.

remove(K, V) - Method in interface org.knowceans.map.IMultiMap

Removes a mapping from key to value without removing other mappings from key.

remove(Object) - Method in class org.knowceans.map.InvertibleHashMap

removes the (forward) key and its value from the map.

remove(X) - Method in class org.knowceans.map.InvertibleHashMultiMap

removes the (forward) key and its elements from it value set from the map that map to key.

remove(X, Y) - Method in class org.knowceans.map.InvertibleHashMultiMap

removes the value from the key's mapping.

remove(Object) - Method in class org.knowceans.map.InvertibleTreeMap

removes the (forward) key and its value from the map.

remove(Object) - Method in class org.knowceans.map.InvertibleTreeMultiMap

removes the (forward) key and its elements from it value set from the map that map to key.

remove(X, Y) - Method in class org.knowceans.map.InvertibleTreeMultiMap

removes the value from the key's mapping.

remove(X, Y) - Method in class org.knowceans.map.TreeMultiMap

remove one value out of the set of values for one key.

remove(int) - Method in class org.knowceans.util.KeyTableList

removeAll(Collection<?>) - Method in class org.knowceans.util.KeyTableList

removeElement(double[], int) - Static method in class org.knowceans.util.Vectors

Create new vector with data of the argument and removed element.

removeElement(int[], int) - Static method in class org.knowceans.util.Vectors

Create new vector with data of the argument and removed element.

removeElements(double[][], int[], int[]) - Static method in class org.knowceans.util.Vectors

Create new matrix with data of the argument and removed rows and columns.

removeElements(double[], int[]) - Static method in class org.knowceans.util.Vectors

Create new vector with data of the argument and removed elements.

removeElements(int[][], int[], int[]) - Static method in class org.knowceans.util.Vectors

Create new matrix with data of the argument and removed rows and columns.

removeElements(int[], int[]) - Static method in class org.knowceans.util.Vectors

Create new vector with data of the argument and removed elements.

removeList(String) - Method in class org.knowceans.util.TableList

Remove the list with key from the internal maps.

reorder(double[], int[], int, int) - Static method in class org.knowceans.util.FastMultinomial

reorder the index of a sorted array after element kinc had been incremented and kdec decremented (referring to the indices in idx).

reorder(double[], int[]) - Static method in class org.knowceans.util.IndexQuickSort

reorder the matrix according to the sorting

replaceAccents(char[], int) - Static method in class org.knowceans.util.AccentRemover

replaces unicode accents by their unaccented counterparts

repmat(double[][], int, int) - Static method in class org.knowceans.util.Vectors

create matroid with matrix a as element repeated for rows and cols

repmat(int[][], int, int) - Static method in class org.knowceans.util.Vectors

create matroid with matrix a as element repeated for rows and cols

reset() - Method in class org.knowceans.util.PatternString

resets the matcher in order to allow new parsing.

resortdec(int[], int[], int[], int) - Static method in class org.knowceans.util.IndexQuickSort

re-sort index of x after x[dec] has reduced in value

resortinc(int[], int[], int[], int) - Static method in class org.knowceans.util.IndexQuickSort

re-sort index of x after x[inc] has increased in value

reverse(int[]) - Static method in class org.knowceans.util.IndexQuickSort

reverse ordering

round(int) - Method in class org.knowceans.util.ExpDouble

Round this instance to the number of significant digits

round(double[][]) - Static method in class org.knowceans.util.Vectors

rounds matrix and converts to integer

round(float[][]) - Static method in class org.knowceans.util.Vectors

round(double[]) - Static method in class org.knowceans.util.Vectors

rounds vector and converts to integer

round(float[]) - Static method in class org.knowceans.util.Vectors