Uses of Class
types.ClassificationInstance

Packages that use ClassificationInstance

classification
experiments
io
types

Uses of ClassificationInstance in classification

Methods in classification with parameters of type ClassificationInstance

static Evaluation

Evaluate.eval(LinearClassifier h, ClassificationInstance inst, int tagOfInterest) Compute evaluation of entire instance list, with respect to a single tag.

Method parameters in classification with type arguments of type ClassificationInstance

LinearClassifier	NaiveBayes.batchTrain(ArrayList<ClassificationInstance> trainingData)
LinearClassifier	MaxEntropy.batchTrain(ArrayList<ClassificationInstance> trainingData)
LinearClassifier	AdaBoost.batchTrain(ArrayList<ClassificationInstance> trainingData)
LinearClassifier	Mira.batchTrain(ArrayList<ClassificationInstance> trainingData)
LinearClassifier	Perceptron.batchTrain(ArrayList<ClassificationInstance> trainingData)
static Evaluation[]	Evaluate.eval(LinearClassifier h, ArrayList<ClassificationInstance> data)
static Evaluation	Evaluate.eval(LinearClassifier h, ArrayList<ClassificationInstance> data, int tagOfInterest) Compute evaluation of entire instance list, with respect to a single tag.

Uses of ClassificationInstance in experiments

Method parameters in experiments with type arguments of type ClassificationInstance

static LinearClassifier	InternetAds.trainAdaBoost(int numIters, ArrayList<ClassificationInstance> 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 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)

Uses of ClassificationInstance in io

Methods in io that return types with arguments of type ClassificationInstance

ArrayList<ClassificationInstance>	InternetAdReader.readFile(String dataLoc)
ArrayList<ClassificationInstance>	NewsgroupsReader.readFile(String dataLoc)

Uses of ClassificationInstance in types

Method parameters in types with type arguments of type ClassificationInstance

static double	StaticUtils.computeAccuracy(LinearClassifier h, ArrayList<ClassificationInstance> data) The accuracy of classifier h on the data set data.
static ArrayList<ClassificationInstance>[]	StaticUtils.split(ArrayList<ClassificationInstance> l, int splitAt)