Uses of Class
it.uniroma2.sag.kelp.learningalgorithm.PassiveAggressive.Policy

Packages that use PassiveAggressive.Policy

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

Uses of PassiveAggressive.Policy in it.uniroma2.sag.kelp.learningalgorithm

Fields in it.uniroma2.sag.kelp.learningalgorithm declared as PassiveAggressive.Policy

Modifier and Type	Field and Description
protected PassiveAggressive.Policy	PassiveAggressive.policy

Methods in it.uniroma2.sag.kelp.learningalgorithm that return PassiveAggressive.Policy

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

Methods in it.uniroma2.sag.kelp.learningalgorithm with parameters of type PassiveAggressive.Policy

Modifier and Type	Method and Description
void	PassiveAggressive.setPolicy(PassiveAggressive.Policy policy)

Uses of PassiveAggressive.Policy in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive

Constructors in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive with parameters of type PassiveAggressive.Policy

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

Uses of PassiveAggressive.Policy in it.uniroma2.sag.kelp.learningalgorithm.regression.passiveaggressive

Constructors in it.uniroma2.sag.kelp.learningalgorithm.regression.passiveaggressive with parameters of type PassiveAggressive.Policy

Constructor and Description
KernelizedPassiveAggressiveRegression(float aggressiveness, float epsilon, PassiveAggressive.Policy policy, Kernel kernel, Label label)
LinearPassiveAggressiveRegression(float aggressiveness, float epsilon, PassiveAggressive.Policy policy, String representation, Label label)