B C D G I M N P T U W

B

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

Generates the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.lazy.IB1

Generates the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.rules.Prism

Generates the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.trees.Id3

Builds Id3 decision tree classifier.

C

classifyInstance(Instance) - Method in class weka.classifiers.lazy.IB1

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.rules.Prism

Classifies a given instance.

classifyInstance(Instance) - Method in class weka.classifiers.trees.Id3

Classifies a given test instance using the decision tree.

D

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

Calculates the class membership probabilities for the given test instance.

distributionForInstance(Instance) - Method in class weka.classifiers.trees.Id3

Computes class distribution for instance using decision tree.

G

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

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.classifiers.lazy.IB1

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.classifiers.rules.Prism

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.classifiers.trees.Id3

Returns default capabilities of the classifier.

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

Returns the revision string.

getRevision() - Method in class weka.classifiers.lazy.IB1

Returns the revision string.

getRevision() - Method in class weka.classifiers.rules.Prism

Returns the revision string.

getRevision() - Method in class weka.classifiers.trees.Id3

Returns the revision string.

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

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.lazy.IB1

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.rules.Prism

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.trees.Id3

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.

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

Returns a string describing this classifier

globalInfo() - Method in class weka.classifiers.lazy.IB1

Returns a string describing classifier

globalInfo() - Method in class weka.classifiers.rules.Prism

Returns a string describing classifier

globalInfo() - Method in class weka.classifiers.trees.Id3

Returns a string describing the classifier.

I

IB1 - Class in weka.classifiers.lazy

Nearest-neighbour classifier.

IB1() - Constructor for class weka.classifiers.lazy.IB1

Id3 - Class in weka.classifiers.trees

Class for constructing an unpruned decision tree based on the ID3 algorithm.

Id3() - Constructor for class weka.classifiers.trees.Id3

M

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

Main method for testing this class.

main(String[]) - Static method in class weka.classifiers.lazy.IB1

Main method for testing this class.

main(String[]) - Static method in class weka.classifiers.rules.Prism

Main method for testing this class

main(String[]) - Static method in class weka.classifiers.trees.Id3

Main method.

N

NaiveBayesSimple - Class in weka.classifiers.bayes

Class for building and using a simple Naive Bayes classifier.Numeric attributes are modelled by a normal distribution.

For more information, see

Richard Duda, Peter Hart (1973).

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

P

Prism - Class in weka.classifiers.rules

Class for building and using a PRISM rule set for classification.

Prism() - Constructor for class weka.classifiers.rules.Prism

T

toSource(String) - Method in class weka.classifiers.trees.Id3

Returns a string that describes the classifier as source.

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

Returns a description of the classifier.

toString() - Method in class weka.classifiers.lazy.IB1

Returns a description of this classifier.

toString() - Method in class weka.classifiers.rules.Prism

Prints a description of the classifier.

toString() - Method in class weka.classifiers.trees.Id3

Prints the decision tree using the private toString method from below.

U

updateClassifier(Instance) - Method in class weka.classifiers.lazy.IB1

Updates the classifier.

W

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

weka.classifiers.lazy - package weka.classifiers.lazy

weka.classifiers.rules - package weka.classifiers.rules

weka.classifiers.trees - package weka.classifiers.trees

B C D G I M N P T U W