Uses of Class
it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive.PassiveAggressiveClassification.Loss

Packages that use PassiveAggressiveClassification.Loss

Package	Description
it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive

Uses of PassiveAggressiveClassification.Loss in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive

Fields in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive declared as PassiveAggressiveClassification.Loss

Modifier and Type	Field and Description
protected PassiveAggressiveClassification.Loss	PassiveAggressiveClassification.loss

Methods in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive that return PassiveAggressiveClassification.Loss

Modifier and Type	Method and Description
PassiveAggressiveClassification.Loss	PassiveAggressiveClassification.getLoss()
static PassiveAggressiveClassification.Loss	PassiveAggressiveClassification.Loss.valueOf(String name) Returns the enum constant of this type with the specified name.
static PassiveAggressiveClassification.Loss[]	PassiveAggressiveClassification.Loss.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive with parameters of type PassiveAggressiveClassification.Loss

Modifier and Type	Method and Description
void	PassiveAggressiveClassification.setLoss(PassiveAggressiveClassification.Loss loss)

Constructors in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive with parameters of type PassiveAggressiveClassification.Loss

Constructor and Description
KernelizedPassiveAggressiveClassification(float cp, float cn, PassiveAggressiveClassification.Loss loss, PassiveAggressive.Policy policy, Kernel kernel, Label label)
LinearPassiveAggressiveClassification(float cp, float cn, PassiveAggressiveClassification.Loss loss, PassiveAggressive.Policy policy, String representation, Label label)