Uses of Class
eu.fbk.utils.svm.LabelledVector

Packages that use LabelledVector

Package	Description
eu.fbk.utils.svm

Uses of LabelledVector in eu.fbk.utils.svm

Methods in eu.fbk.utils.svm that return LabelledVector

Modifier and Type	Method and Description
LabelledVector	Vector.label(int label, float... probabilities)
LabelledVector	Classifier.predict(boolean withProbabilities, Vector vector)

Methods in eu.fbk.utils.svm that return types with arguments of type LabelledVector

Modifier and Type	Method and Description
List<LabelledVector>	Classifier.predict(boolean withProbabilities, Iterable<? extends Vector> vectors)

Method parameters in eu.fbk.utils.svm with type arguments of type LabelledVector

Modifier and Type	Method and Description
static ConfusionMatrix	Classifier.crossValidate(Classifier.Parameters parameters, Iterable<? extends Iterable<LabelledVector>> partitions)
static ConfusionMatrix	Classifier.crossValidate(Classifier.Parameters parameters, Iterable<? extends Iterable<LabelledVector>> partitions, Map<String,Integer> results)
static ConfusionMatrix	Classifier.crossValidate(Classifier.Parameters parameters, Iterable<LabelledVector> trainingSet, int numPartitions)
static ConfusionMatrix	Classifier.crossValidate(Classifier.Parameters parameters, Iterable<LabelledVector> trainingSet, int numPartitions, int maxVectors)
static ConfusionMatrix	Classifier.crossValidate(Classifier.Parameters parameters, Iterable<LabelledVector> trainingSet, int numPartitions, Map<String,Integer> results)
static ConfusionMatrix	Classifier.crossValidate(Classifier.Parameters parameters, Iterable<LabelledVector> trainingSet, int numPartitions, Map<String,Integer> results, int maxVectors)
static ConfusionMatrix	LabelledVector.evaluate(Iterable<LabelledVector> goldVectors, Iterable<LabelledVector> predictedVectors, int numLabels)
static ConfusionMatrix	LabelledVector.evaluate(Iterable<LabelledVector> goldVectors, Iterable<LabelledVector> predictedVectors, int numLabels)
static Classifier	Classifier.train(Classifier.Parameters parameters, Iterable<LabelledVector> trainingSet)
static Classifier	Classifier.train(Iterable<Classifier.Parameters> parametersGrid, Iterable<LabelledVector> trainingSet, Comparator<ConfusionMatrix> comparator, int maxVectors)