it.uniroma2.sag.kelp.learningalgorithm

Enum PassiveAggressive.Policy

java.lang.Object

java.lang.Enum<PassiveAggressive.Policy>

it.uniroma2.sag.kelp.learningalgorithm.PassiveAggressive.Policy

All Implemented Interfaces:

Serializable, Comparable<PassiveAggressive.Policy>

Enclosing class:

PassiveAggressive

public static enum PassiveAggressive.Policy
extends Enum<PassiveAggressive.Policy>

It is the updating policy applied by the Passive Aggressive Algorithm when a miss-prediction occurs

Author:

Simone Filice

Enum Constant Summary

Enum Constants

Enum Constant and Description
HARD_PA The new prediction hypothesis after a new example \( \mathbf{x}_t\) with label \(y_t\) is observed is:
PA_I The new prediction hypothesis after a new example \( \mathbf{x}_t\) with label \(y_t\) is observed is:
PA_II The new prediction hypothesis after a new example \( \mathbf{x}_t\) with label \(y_t\) is observed is:

Method Summary

Methods

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

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

HARD_PA

public static final PassiveAggressive.Policy HARD_PA

The new prediction hypothesis after a new example \( \mathbf{x}_t\) with label \(y_t\) is observed is:

\(argmin_{\mathbf{w}} \frac{1}{2} \left \| \mathbf{w}-\mathbf{w}_t \right \|^2\)

such that \( l(\mathbf{w};(\mathbf{x}_t,y_t))=0 \)

PA_I

public static final PassiveAggressive.Policy PA_I

The new prediction hypothesis after a new example \( \mathbf{x}_t\) with label \(y_t\) is observed is:

\(argmin_{\mathbf{w}} \frac{1}{2} \left \| \mathbf{w}-\mathbf{w}_t \right \|^2 + C\xi \)

such that \( l(\mathbf{w};(\mathbf{x}_t,y_t))\leq \xi \) and \( \xi\geq 0\)

PA_II

public static final PassiveAggressive.Policy PA_II

The new prediction hypothesis after a new example \( \mathbf{x}_t\) with label \(y_t\) is observed is:

\(argmin_{\mathbf{w}} \frac{1}{2} \left \| \mathbf{w}-\mathbf{w}_t \right \|^2 + C\xi^2 \)

such that \( l(\mathbf{w};(\mathbf{x}_t,y_t))\leq \xi \) and \( \xi\geq 0\)

Method Detail

values

public static PassiveAggressive.Policy[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (PassiveAggressive.Policy c : PassiveAggressive.Policy.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static PassiveAggressive.Policy valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null