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Packages that use LinearClassifier | |
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classification | |
experiments | |
types |
Uses of LinearClassifier in classification |
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Methods in classification that return LinearClassifier | |
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LinearClassifier |
NaiveBayes.batchTrain(ArrayList<ClassificationInstance> trainingData)
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LinearClassifier |
MaxEntropy.batchTrain(ArrayList<ClassificationInstance> trainingData)
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LinearClassifier |
AdaBoost.batchTrain(ArrayList<ClassificationInstance> trainingData)
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LinearClassifier |
Mira.batchTrain(ArrayList<ClassificationInstance> trainingData)
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LinearClassifier |
Perceptron.batchTrain(ArrayList<ClassificationInstance> trainingData)
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Methods in classification with parameters of type LinearClassifier | |
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static Evaluation[] |
Evaluate.eval(LinearClassifier h,
ArrayList<ClassificationInstance> data)
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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 |
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Methods in experiments that return LinearClassifier | |
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static LinearClassifier |
InternetAds.trainAdaBoost(int numIters,
ArrayList<ClassificationInstance> train,
Alphabet xA,
Alphabet yA)
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static LinearClassifier |
Newsgroups.trainMaxEnt(ArrayList<ClassificationInstance> train,
Alphabet xA,
Alphabet yA)
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static LinearClassifier |
InternetAds.trainMaxEnt(ArrayList<ClassificationInstance> train,
Alphabet xA,
Alphabet yA)
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static LinearClassifier |
Newsgroups.trainNaivBayes(ArrayList<ClassificationInstance> train,
Alphabet xA,
Alphabet yA)
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static LinearClassifier |
InternetAds.trainNaivBayes(ArrayList<ClassificationInstance> train,
Alphabet xA,
Alphabet yA)
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static LinearClassifier |
Newsgroups.trainPerceptron(boolean doAveraging,
int numIters,
ArrayList<ClassificationInstance> train,
Alphabet xA,
Alphabet yA)
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static LinearClassifier |
InternetAds.trainPerceptron(boolean doAveraging,
int numIters,
ArrayList<ClassificationInstance> train,
Alphabet xA,
Alphabet yA)
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Uses of LinearClassifier in types |
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Methods in types with parameters of type LinearClassifier | |
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static double |
StaticUtils.computeAccuracy(LinearClassifier h,
ArrayList<ClassificationInstance> data)
The accuracy of classifier h on the data set data. |
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