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

A

attributeList(BitSet) - Method in class weka.attributeSelection.ScatterSearchV1

converts a BitSet into a list of attribute indexes

attributeList(BitSet) - Method in class weka.attributeSelection.TabuSearch

converts a BitSet into a list of attribute indexes

B

bubbleSubsetSort(List<ScatterSearchV1.Subset>) - Method in class weka.attributeSelection.ScatterSearchV1

Sort a List of subsets according to their merits

bubbleSubsetSort(List<TabuSearch.Subset>) - Method in class weka.attributeSelection.TabuSearch

Sort a List of subsets according to their merits

C

calculateTreshhold() - Method in class weka.attributeSelection.ScatterSearchV1

Calculate the treshold of a dataSet given an evaluator

cardinality() - Method in class weka.attributeSelection.TabuSearch.Subset

clone() - Method in class weka.attributeSelection.ScatterSearchV1.Subset

clone() - Method in class weka.attributeSelection.TabuSearch.Subset

combinationTipText() - Method in class weka.attributeSelection.ScatterSearchV1

Returns the tip text for this property

CombineParents() - Method in class weka.attributeSelection.ScatterSearchV1

Combine all the posible pair solutions existing in the Population

contains(int) - Method in class weka.attributeSelection.TabuSearch.Subset

CreatePopulation(int) - Method in class weka.attributeSelection.ScatterSearchV1

Create the initial Population

D

debugTipText() - Method in class weka.attributeSelection.ScatterSearchV1

Returns the tip text for this property

diversificationProbTipText() - Method in class weka.attributeSelection.TabuSearch

Returns the tip text for this property

diversify(List<TabuSearch.Subset>) - Method in class weka.attributeSelection.TabuSearch

Generate a diverse Bitset given a List of Subset

E

eliteReducts(List<TabuSearch.Subset>, int) - Method in class weka.attributeSelection.TabuSearch

Find a better solution by intersecting and SFS of the best elite Reducts found till that moment

F

filterSubset(List<ScatterSearchV1.Subset>, int) - Method in class weka.attributeSelection.ScatterSearchV1

Filter a given Lis of Subsets removing the equals subsets

flip(int) - Method in class weka.attributeSelection.TabuSearch.Subset

G

GenerateInitialSolution(TabuSearch.Subset, int) - Method in class weka.attributeSelection.TabuSearch

Generate an initial solution based in a Sequential Forward Selection (SFS)

generateRandomNumber(int) - Method in class weka.attributeSelection.ScatterSearchV1

GenerateReferenceSet(List<ScatterSearchV1.Subset>, int, int) - Method in class weka.attributeSelection.ScatterSearchV1

Generate the a ReferenceSet containing the n best solutions and the m most diverse solutions of the initial Population.

getAllBits(List<ScatterSearchV1.Subset>) - Method in class weka.attributeSelection.ScatterSearchV1

Save in Bitset all the gens that are in many others subsets.

getBestgen(ScatterSearchV1.Subset, BitSet) - Method in class weka.attributeSelection.ScatterSearchV1

Evaluate each gen of a BitSet inserted in a Subset and get the most significant for that Subset

getCombination() - Method in class weka.attributeSelection.ScatterSearchV1

Get the combination

getDebug() - Method in class weka.attributeSelection.ScatterSearchV1

Get whether output is to be verbose

getDiversificationProb() - Method in class weka.attributeSelection.TabuSearch

get the probability of diversification

getIndexofBiggest(List<Integer>) - Method in class weka.attributeSelection.ScatterSearchV1

get the index in a List where this have the biggest number

getInitialSize() - Method in class weka.attributeSelection.TabuSearch

get the number of of attributes that are going to be in the initial Solution

getNumNeighborhood() - Method in class weka.attributeSelection.TabuSearch

get the number of neighborhood

getOptions() - Method in class weka.attributeSelection.ScatterSearchV1

Gets the current settings of ScatterSearchV1.

getOptions() - Method in class weka.attributeSelection.TabuSearch

Gets the current settings of TabuSearch.

getPopulationSize() - Method in class weka.attributeSelection.ScatterSearchV1

Get the population size

getRevision() - Method in class weka.attributeSelection.ScatterSearchV1

Returns the revision string.

getRevision() - Method in class weka.attributeSelection.TabuSearch

Returns the revision string.

getSeed() - Method in class weka.attributeSelection.ScatterSearchV1

get the value of the random number generator's seed

getSeed() - Method in class weka.attributeSelection.TabuSearch

get the value of the random number generator's seed

getTechnicalInformation() - Method in class weka.attributeSelection.ScatterSearchV1

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.attributeSelection.TabuSearch

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getThreshold() - Method in class weka.attributeSelection.ScatterSearchV1

Get the treshold

globalInfo() - Method in class weka.attributeSelection.ScatterSearchV1

Returns a string describing this search method

globalInfo() - Method in class weka.attributeSelection.TabuSearch

Returns a string describing this search method

I

ImproveSolutions() - Method in class weka.attributeSelection.ScatterSearchV1

Improve the solutions previously combined by adding the attributes that improve that solution

initialSizeTipText() - Method in class weka.attributeSelection.TabuSearch

Returns the tip text for this property

InitPopulation(int) - Method in class weka.attributeSelection.ScatterSearchV1

Creating space for introducing the population

intersectSubsets(ScatterSearchV1.Subset, ScatterSearchV1.Subset) - Method in class weka.attributeSelection.ScatterSearchV1

Intersects two subsets

isEqual(ScatterSearchV1.Subset) - Method in class weka.attributeSelection.ScatterSearchV1.Subset

isEqual(TabuSearch.Subset) - Method in class weka.attributeSelection.TabuSearch.Subset

J

joinSubsets(ScatterSearchV1.Subset, ScatterSearchV1.Subset) - Method in class weka.attributeSelection.ScatterSearchV1

Join two subsets

joinSubsets(TabuSearch.Subset, TabuSearch.Subset) - Method in class weka.attributeSelection.TabuSearch

Join two subsets

L

listOptions() - Method in class weka.attributeSelection.ScatterSearchV1

Returns an enumeration describing the available options.

listOptions() - Method in class weka.attributeSelection.TabuSearch

N

numNeighborhoodTipText() - Method in class weka.attributeSelection.TabuSearch

Returns the tip text for this property

P

populationSizeTipText() - Method in class weka.attributeSelection.ScatterSearchV1

Returns the tip text for this property

printSubset(ScatterSearchV1.Subset) - Method in class weka.attributeSelection.ScatterSearchV1

printSubset(TabuSearch.Subset) - Method in class weka.attributeSelection.TabuSearch

R

RankEachAttribute() - Method in class weka.attributeSelection.ScatterSearchV1

Rank all the attributes individually acording to their merits

S

ScatterSearchV1 - Class in weka.attributeSelection

Class for performing the Sequential Scatter Search.

ScatterSearchV1() - Constructor for class weka.attributeSelection.ScatterSearchV1

ScatterSearchV1.Subset - Class in weka.attributeSelection

search(ASEvaluation, Instances) - Method in class weka.attributeSelection.ScatterSearchV1

Searches the attribute subset space using Scatter Search.

search(ASEvaluation, Instances) - Method in class weka.attributeSelection.TabuSearch

Searches the attribute subset space using Tabu Search.

seedTipText() - Method in class weka.attributeSelection.ScatterSearchV1

Returns the tip text for this property

seedTipText() - Method in class weka.attributeSelection.TabuSearch

Returns the tip text for this property

setCombination(SelectedTag) - Method in class weka.attributeSelection.ScatterSearchV1

Set the kind of combination

setDebug(boolean) - Method in class weka.attributeSelection.ScatterSearchV1

Set whether verbose output should be generated.

setDiversificationProb(double) - Method in class weka.attributeSelection.TabuSearch

set the probability of diverification

setInitialSize(int) - Method in class weka.attributeSelection.TabuSearch

set the number of attributes that are going to be in the initial Solution

setNumNeighborhood(int) - Method in class weka.attributeSelection.TabuSearch

set the number of neighborhood

setOptions(String[]) - Method in class weka.attributeSelection.ScatterSearchV1

Parses a given list of options.

setOptions(String[]) - Method in class weka.attributeSelection.TabuSearch

Valid options are:

setPopulationSize(int) - Method in class weka.attributeSelection.ScatterSearchV1

Set the population size

setSeed(int) - Method in class weka.attributeSelection.ScatterSearchV1

set the seed for random number generation

setSeed(int) - Method in class weka.attributeSelection.TabuSearch

set the seed for random number generation

setThreshold(double) - Method in class weka.attributeSelection.ScatterSearchV1

Set the treshold

simetricDif(ScatterSearchV1.Subset, ScatterSearchV1.Subset, int) - Method in class weka.attributeSelection.ScatterSearchV1

SimetricDiference(ScatterSearchV1.Subset, BitSet) - Method in class weka.attributeSelection.ScatterSearchV1

Calculate the Simetric Diference of two subsets

Subset(BitSet, double) - Constructor for class weka.attributeSelection.ScatterSearchV1.Subset

Subset(BitSet, double) - Constructor for class weka.attributeSelection.TabuSearch.Subset

Subset() - Constructor for class weka.attributeSelection.TabuSearch.Subset

T

TabuSearch - Class in weka.attributeSelection

Class for performing the TabuSearch method.

TabuSearch() - Constructor for class weka.attributeSelection.TabuSearch

TabuSearch.Subset - Class in weka.attributeSelection

TAGS_SELECTION - Static variable in class weka.attributeSelection.ScatterSearchV1

thresholdTipText() - Method in class weka.attributeSelection.ScatterSearchV1

Returns the tip text for this property

toString() - Method in class weka.attributeSelection.ScatterSearchV1

returns a description of the search.

toString() - Method in class weka.attributeSelection.TabuSearch

returns a description of the search.

U

UpdateReferenceSet(int, int) - Method in class weka.attributeSelection.ScatterSearchV1

Update the ReferenceSet putting the new obtained Solutions there

W

weka.attributeSelection - package weka.attributeSelection

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