Uses of Class
eu.fbk.utils.svm.Classifier.Parameters

Packages that use Classifier.Parameters

Package	Description
eu.fbk.utils.svm

Uses of Classifier.Parameters in eu.fbk.utils.svm

Methods in eu.fbk.utils.svm that return Classifier.Parameters

Modifier and Type	Method and Description
static Classifier.Parameters	Classifier.Parameters.forLinearL1LossL2Reg(int numLabels, float[] weights, Float c, Float bias)
static Classifier.Parameters	Classifier.Parameters.forLinearL2LossL1Reg(int numLabels, float[] weights, Float c, Float bias)
static Classifier.Parameters	Classifier.Parameters.forLinearL2LossL2Reg(int numLabels, float[] weights, Float c, Float bias, Boolean dual)
static Classifier.Parameters	Classifier.Parameters.forLinearLRLossL1Reg(int numLabels, float[] weights, Float c, Float bias)
static Classifier.Parameters	Classifier.Parameters.forLinearLRLossL2Reg(int numLabels, float[] weights, Float c, Float bias, Boolean dual)
static Classifier.Parameters	Classifier.Parameters.forProperties(Properties properties, String prefix)
static Classifier.Parameters	Classifier.Parameters.forSVMLinearKernel(int numLabels, float[] weights, Float c)
static Classifier.Parameters	Classifier.Parameters.forSVMPolyKernel(int numLabels, float[] weights, Float c, Float gamma, Float coeff, Integer degree)
static Classifier.Parameters	Classifier.Parameters.forSVMRBFKernel(int numLabels, float[] weights, Float c, Float gamma)
static Classifier.Parameters	Classifier.Parameters.forSVMSigmoidKernel(int numLabels, float[] weights, Float c, Float gamma, Float coeff)
Classifier.Parameters	Classifier.getParameters()

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

Modifier and Type	Method and Description
List<Classifier.Parameters>	Classifier.Parameters.grid(int maxCombinations, float multiplier)

Methods in eu.fbk.utils.svm with parameters of type Classifier.Parameters

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 Classifier	Classifier.train(Classifier.Parameters parameters, Iterable<LabelledVector> trainingSet)

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

Modifier and Type	Method and Description
static Classifier	Classifier.train(Iterable<Classifier.Parameters> parametersGrid, Iterable<LabelledVector> trainingSet, Comparator<ConfusionMatrix> comparator, int maxVectors)