Uses of Class
types.Alphabet

Packages that use Alphabet
classification   
experiments   
io   
sequence   
types   
 

Uses of Alphabet in classification
 

Constructors in classification with parameters of type Alphabet
AdaBoost(int numIterations, Alphabet xAlphabet, Alphabet yAlphabet, FeatureFunction fxy)
           
CompleteFeatureFunction(Alphabet xAlphabet, Alphabet yAlphabet)
           
MaxEntropy(double gaussianPriorVariance, Alphabet xAlphabet, Alphabet yAlphabet, FeatureFunction fxy)
           
Mira(boolean performAveraging, int numIterations, Alphabet xAlphabet, Alphabet yAlphabet, CompleteFeatureFunction fxy, Loss loss)
           
NaiveBayes(double smoothTrue, double smoothFalse, Alphabet xAlphabet, Alphabet yAlphabet)
           
Perceptron(boolean performAveraging, int numIterations, Alphabet xAlphabet, Alphabet yAlphabet, FeatureFunction fxy)
           
 

Uses of Alphabet in experiments
 

Methods in experiments with parameters of type Alphabet
static LinearClassifier InternetAds.trainAdaBoost(int numIters, ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA)
           
static LinearTagger PartOfSpeech.trainCRF(ArrayList<SequenceInstance> train, Alphabet xA, Alphabet yA)
           
static LinearClassifier Newsgroups.trainMaxEnt(ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA)
           
static LinearClassifier InternetAds.trainMaxEnt(ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA)
           
static LinearTagger PartOfSpeech.trainMira(boolean doAveraging, int numIters, ArrayList<SequenceInstance> train, Alphabet xA, Alphabet yA)
           
static LinearClassifier Newsgroups.trainNaivBayes(ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA)
           
static LinearClassifier InternetAds.trainNaivBayes(ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA)
           
static LinearClassifier Newsgroups.trainPerceptron(boolean doAveraging, int numIters, ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA)
           
static LinearClassifier InternetAds.trainPerceptron(boolean doAveraging, int numIters, ArrayList<ClassificationInstance> train, Alphabet xA, Alphabet yA)
           
static LinearTagger PartOfSpeech.trainPerceptron(boolean doAveraging, int numIters, ArrayList<SequenceInstance> train, Alphabet xA, Alphabet yA)
           
 

Uses of Alphabet in io
 

Constructors in io with parameters of type Alphabet
InternetAdReader(Alphabet xAlphabet, Alphabet yAlphabet)
           
NewsgroupsReader(Alphabet xAlphabet, Alphabet yAlphabet)
           
PartOfSpeechReader(Alphabet xAlphabet, Alphabet yAlphabet)
           
 

Uses of Alphabet in sequence
 

Fields in sequence declared as Alphabet
 Alphabet SequenceInstance.xAlphabet
           
 Alphabet SequenceInstance.yAlphabet
           
 

Constructors in sequence with parameters of type Alphabet
CRF(double gaussianPriorVariance, Alphabet xAlphabet, Alphabet yAlphabet, SequenceFeatureFunction fxy)
           
LinearTagger(Alphabet xAlpha, Alphabet yAlpha, SequenceFeatureFunction fxy)
           
Mira(boolean performAveraging, int numIterations, Alphabet xAlphabet, Alphabet yAlphabet, SequenceFeatureFunction fxy, Loss loss)
           
OneYwithXFeatureFunction(Alphabet xAlphabet, Alphabet yAlphabet)
           
Perceptron(boolean performAveraging, int numIterations, Alphabet xAlphabet, Alphabet yAlphabet, SequenceFeatureFunction fxy)
           
SequenceInstance(Alphabet xAlphabet, Alphabet yAlphabet, SparseVector[] x, Object[] y)
           
TwoYwithXFeatureFunction(Alphabet xAlphabet, Alphabet yAlphabet)
           
 

Uses of Alphabet in types
 

Fields in types declared as Alphabet
 Alphabet ClassificationInstance.xAlphabet
           
 Alphabet LinearClassifier.xAlphabet
           
 Alphabet ClassificationInstance.yAlphabet
           
 Alphabet LinearClassifier.yAlphabet
           
 

Methods in types with parameters of type Alphabet
static SparseVector StaticUtils.lookupCollection(Collection<String> in, Alphabet a)
           
 

Constructors in types with parameters of type Alphabet
ClassificationInstance(Alphabet xAlphabet, Alphabet yAlphabet, SparseVector x, Object y)
           
LinearClassifier(Alphabet xAlpha, Alphabet yAlpha, FeatureFunction fxy)
           
 



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