jsat.classifiers.linear

Class LinearBatch.LossFunction

java.lang.Object

jsat.classifiers.linear.LinearBatch.LossFunction

All Implemented Interfaces:

Serializable, Function, FunctionP

Enclosing class:

LinearBatch

public class LinearBatch.LossFunction
extends Object
implements FunctionP

Function for using the single weight vector loss functions related to LossC and LossR.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LossFunction(DataSet D, LossFunc loss)

Method Summary

Modifier and Type	Method and Description
double	f(double... x)
double	f(Vec w)
double	f(Vec w, ExecutorService ex) Computes the result of a single variate function

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LossFunction

public LossFunction(DataSet D,
                    LossFunc loss)

Method Detail

f

public double f(Vec w)

Specified by:

f in interface Function

f

public double f(Vec w,
                ExecutorService ex)

Description copied from interface: FunctionP

Computes the result of a single variate function

Specified by:

f in interface FunctionP

Parameters:

w - the multivariate input

ex - the source of threads to compute the result from

Returns:

the output of the function

f

public double f(double... x)

Specified by:

f in interface Function