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A

AODE - Class in weka.classifiers.bayes

AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes.

AODE() - Constructor for class weka.classifiers.bayes.AODE

AODEsr - Class in weka.classifiers.bayes

AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the generalization attribute value.
For more information, see:
Fei Zheng, Geoffrey I.

AODEsr() - Constructor for class weka.classifiers.bayes.AODEsr

B

buildClassifier(Instances) - Method in class weka.classifiers.bayes.AODE

Generates the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.bayes.AODEsr

Generates the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.bayes.WAODE

Generates the classifier.

C

criticalValueTipText() - Method in class weka.classifiers.bayes.AODEsr

Returns the tip text for this property

D

distributionForInstance(Instance) - Method in class weka.classifiers.bayes.AODE

Calculates the class membership probabilities for the given test instance.

distributionForInstance(Instance) - Method in class weka.classifiers.bayes.AODEsr

Calculates the class membership probabilities for the given test instance.

distributionForInstance(Instance) - Method in class weka.classifiers.bayes.WAODE

Calculates the class membership probabilities for the given test instance

F

frequencyLimitTipText() - Method in class weka.classifiers.bayes.AODE

Returns the tip text for this property

frequencyLimitTipText() - Method in class weka.classifiers.bayes.AODEsr

Returns the tip text for this property

G

getCapabilities() - Method in class weka.classifiers.bayes.AODE

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.classifiers.bayes.AODEsr

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.classifiers.bayes.WAODE

Returns default capabilities of the classifier.

getCriticalValue() - Method in class weka.classifiers.bayes.AODEsr

Gets the critical value.

getFrequencyLimit() - Method in class weka.classifiers.bayes.AODE

Gets the frequency limit.

getFrequencyLimit() - Method in class weka.classifiers.bayes.AODEsr

Gets the frequency limit.

getInternals() - Method in class weka.classifiers.bayes.WAODE

Gets whether more internals of the classifier are printed.

getMestWeight() - Method in class weka.classifiers.bayes.AODEsr

Gets the weight used in m-estimate

getOptions() - Method in class weka.classifiers.bayes.AODE

Gets the current settings of the classifier.

getOptions() - Method in class weka.classifiers.bayes.AODEsr

Gets the current settings of the classifier.

getOptions() - Method in class weka.classifiers.bayes.WAODE

Gets the current settings of the filter.

getRevision() - Method in class weka.classifiers.bayes.AODE

Returns the revision string.

getRevision() - Method in class weka.classifiers.bayes.AODEsr

Returns the revision string.

getRevision() - Method in class weka.classifiers.bayes.WAODE

Returns the revision string.

getTechnicalInformation() - Method in class weka.classifiers.bayes.AODE

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.classifiers.bayes.AODEsr

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.classifiers.bayes.WAODE

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.

getUseLaplace() - Method in class weka.classifiers.bayes.AODEsr

Gets if laplace correction is being used.

getUseMEstimates() - Method in class weka.classifiers.bayes.AODE

Gets if m-estimaces is being used.

getWeight() - Method in class weka.classifiers.bayes.AODE

Gets the weight used in m-estimate

globalInfo() - Method in class weka.classifiers.bayes.AODE

Returns a string describing this classifier

globalInfo() - Method in class weka.classifiers.bayes.AODEsr

Returns a string describing this classifier

globalInfo() - Method in class weka.classifiers.bayes.WAODE

Returns a string describing this classifier

I

internalsTipText() - Method in class weka.classifiers.bayes.WAODE

Returns the tip text for this property

L

LaplaceEstimate(double, double, double) - Method in class weka.classifiers.bayes.AODEsr

Returns the probability estimate, using laplace correction

listOptions() - Method in class weka.classifiers.bayes.AODE

Returns an enumeration describing the available options

listOptions() - Method in class weka.classifiers.bayes.AODEsr

Returns an enumeration describing the available options

listOptions() - Method in class weka.classifiers.bayes.WAODE

Gets an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.bayes.AODE

Main method for testing this class.

main(String[]) - Static method in class weka.classifiers.bayes.AODEsr

Main method for testing this class.

main(String[]) - Static method in class weka.classifiers.bayes.WAODE

Main method for testing this class.

MEstimate(double, double, double) - Method in class weka.classifiers.bayes.AODEsr

Returns the probability estimate, using m-estimate

mestWeightTipText() - Method in class weka.classifiers.bayes.AODEsr

Returns the tip text for this property

N

NBconditionalProb(Instance, int) - Method in class weka.classifiers.bayes.AODE

Calculates the probability of the specified class for the given test instance, using naive Bayes.

NBconditionalProb(Instance, int) - Method in class weka.classifiers.bayes.AODEsr

Calculates the probability of the specified class for the given test instance, using naive Bayes.

S

setCriticalValue(int) - Method in class weka.classifiers.bayes.AODEsr

Sets the critical value

setFrequencyLimit(int) - Method in class weka.classifiers.bayes.AODE

Sets the frequency limit

setFrequencyLimit(int) - Method in class weka.classifiers.bayes.AODEsr

Sets the frequency limit

setInternals(boolean) - Method in class weka.classifiers.bayes.WAODE

Sets whether internals about classifier are printed via toString().

setMestWeight(double) - Method in class weka.classifiers.bayes.AODEsr

Sets the weight for m-estimate

setOptions(String[]) - Method in class weka.classifiers.bayes.AODE

Parses a given list of options.

setOptions(String[]) - Method in class weka.classifiers.bayes.AODEsr

Parses a given list of options.

setOptions(String[]) - Method in class weka.classifiers.bayes.WAODE

Parses a given list of options.

setUseLaplace(boolean) - Method in class weka.classifiers.bayes.AODEsr

Sets if laplace correction is to be used.

setUseMEstimates(boolean) - Method in class weka.classifiers.bayes.AODE

Sets if m-estimates is to be used.

setWeight(int) - Method in class weka.classifiers.bayes.AODE

Sets the weight for m-estimate

T

toString() - Method in class weka.classifiers.bayes.AODE

Returns a description of the classifier.

toString() - Method in class weka.classifiers.bayes.AODEsr

Returns a description of the classifier.

toString() - Method in class weka.classifiers.bayes.WAODE

returns a string representation of the classifier

U

updateClassifier(Instance) - Method in class weka.classifiers.bayes.AODE

Updates the classifier with the given instance.

updateClassifier(Instance) - Method in class weka.classifiers.bayes.AODEsr

Updates the classifier with the given instance.

useLaplaceTipText() - Method in class weka.classifiers.bayes.AODEsr

Returns the tip text for this property

useMEstimatesTipText() - Method in class weka.classifiers.bayes.AODE

Returns the tip text for this property

W

WAODE - Class in weka.classifiers.bayes

WAODE contructs the model called Weightily Averaged One-Dependence Estimators.

For more information, see

L.

WAODE() - Constructor for class weka.classifiers.bayes.WAODE

weightTipText() - Method in class weka.classifiers.bayes.AODE

Returns the tip text for this property

weka.classifiers.bayes - package weka.classifiers.bayes

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