B C D G H L M O R S T W

B

buildAssociations(Instances) - Method in class weka.associations.HotSpot

Build the tree

C

canProduceRules() - Method in class weka.associations.HotSpot

Returns true if this AssociationRulesProducer can actually produce rules.

D

debugTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

doNotCheckCapabilitiesTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

G

getAssociationRules() - Method in class weka.associations.HotSpot

Gets the list of mined association rules.

getCapabilities() - Method in class weka.associations.HotSpot

Returns default capabilities of HotSpot

getDebug() - Method in class weka.associations.HotSpot

Get whether debugging info is output

getDoNotCheckCapabilities() - Method in class weka.associations.HotSpot

Get whether capabilities checking is turned off.

getMaxBranchingFactor() - Method in class weka.associations.HotSpot

Get the maximum branching factor

getMaxRuleLength() - Method in class weka.associations.HotSpot

Get the maximum rule length

getMinimizeTarget() - Method in class weka.associations.HotSpot

Get whether to minimize the target rather than maximize

getMinImprovement() - Method in class weka.associations.HotSpot

Get the minimum improvement in the target necessary to add a test

getOptions() - Method in class weka.associations.HotSpot

Gets the current settings of HotSpot.

getOutputRules() - Method in class weka.associations.HotSpot

getRevision() - Method in class weka.associations.HotSpot

Returns the revision string.

getRuleMetricNames() - Method in class weka.associations.HotSpot

Gets a list of the names of the metrics output for each rule.

getSupport() - Method in class weka.associations.HotSpot

Get the minimum support

getTarget() - Method in class weka.associations.HotSpot

Get the target index as a string

getTargetIndex() - Method in class weka.associations.HotSpot

For a nominal target, get the index of the value of interest (1-based)

getTreatZeroAsMissing() - Method in class weka.associations.HotSpot

Get whether to treat zero as missing.

globalInfo() - Method in class weka.associations.HotSpot

Returns a string describing this classifier

graph() - Method in class weka.associations.HotSpot

graphType() - Method in class weka.associations.HotSpot

Returns the type of graph this scheme represents.

H

HotSpot - Class in weka.associations

HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest.

HotSpot() - Constructor for class weka.associations.HotSpot

Constructor

L

listOptions() - Method in class weka.associations.HotSpot

Returns an enumeration describing the available options.

M

main(String[]) - Static method in class weka.associations.HotSpot

Main method for testing this class.

maxBranchingFactorTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

maxRuleLengthTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

minimizeTargetTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

minImprovementTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

O

outputRulesTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

R

resetOptions() - Method in class weka.associations.HotSpot

Reset options to their defaults

S

setDebug(boolean) - Method in class weka.associations.HotSpot

Set whether debugging info is output

setDoNotCheckCapabilities(boolean) - Method in class weka.associations.HotSpot

Set whether capabilities checking is turned off.

setMaxBranchingFactor(int) - Method in class weka.associations.HotSpot

Set the maximum branching factor

setMaxRuleLength(int) - Method in class weka.associations.HotSpot

Set the maximum rule length

setMinimizeTarget(boolean) - Method in class weka.associations.HotSpot

Set whether to minimize the target rather than maximize

setMinImprovement(double) - Method in class weka.associations.HotSpot

Set the minimum improvement in the target necessary to add a test

setOptions(String[]) - Method in class weka.associations.HotSpot

Parses a given list of options.

setOutputRules(boolean) - Method in class weka.associations.HotSpot

setSupport(String) - Method in class weka.associations.HotSpot

Set the minimum support

setTarget(String) - Method in class weka.associations.HotSpot

Set the target index

setTargetIndex(String) - Method in class weka.associations.HotSpot

For a nominal target, set the index of the value of interest (1-based)

setTreatZeroAsMissing(boolean) - Method in class weka.associations.HotSpot

Set whether to treat zero as missing.

supportTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

T

targetIndexTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

targetTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

toString() - Method in class weka.associations.HotSpot

Return the tree as a string

treatZeroAsMissingTipText() - Method in class weka.associations.HotSpot

Returns the tip text for this property

W

weka.associations - package weka.associations

B C D G H L M O R S T W