Uses of Class
types.LinearClassifier

Packages that use LinearClassifier
classification   
experiments   
types   
 

Uses of LinearClassifier in classification
 

Methods in classification that return LinearClassifier
 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)
           
 

Methods in classification with parameters of type LinearClassifier
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.
static Evaluation Evaluate.eval(LinearClassifier h, ClassificationInstance inst, int tagOfInterest)
          Compute evaluation of entire instance list, with respect to a single tag.
 

Uses of LinearClassifier in experiments
 

Methods in experiments that return LinearClassifier
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 LinearClassifier in types
 

Methods in types with parameters of type LinearClassifier
static double StaticUtils.computeAccuracy(LinearClassifier h, ArrayList<ClassificationInstance> data)
          The accuracy of classifier h on the data set data.
 



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