edu.berkeley.compbio.jlibsvm
Class SvmParameter<L>

java.lang.Object
  edu.berkeley.compbio.jlibsvm.SvmParameter<L>

public class SvmParameter<L>
extends java.lang.Object

I do not like it

Version:

$Id$

Author:

David Soergel

Field Summary

MultiClassModel.AllVsAllMode	allVsAllMode
float	C
float	cache_size
float	eps
int	falseClassSVlimit
double	minVoteProportion
boolean	normalizeL2
float	nu
MultiClassModel.OneVsAllMode	oneVsAllMode
double	oneVsAllThreshold
float	p
boolean	probability
boolean	redistributeUnbalancedC For unbalanced data, redistribute the misclassification cost C according to the numbers of examples in each class, so that each class has the same total misclassification weight assigned to it and the average is param.C
boolean	scaleBinaryMachinesIndependently
int	scalingExamples When learning scaling, only bother with this many examples, assuming they're in random order.
boolean	shrinking

Constructor Summary

SvmParameter()

SvmParameter(SvmParameter copyFrom)

Method Summary

int	getCacheRows()
java.lang.Float	getWeight(L key)
java.util.Map<L,java.lang.Float>	getWeights()
void	putWeight(L key, java.lang.Float weight)

Methods inherited from class java.lang.Object

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

Field Detail

cache_size

public float cache_size

eps

public float eps

C

public float C

nu

public float nu

p

public float p

shrinking

public boolean shrinking

probability

public boolean probability

oneVsAllThreshold

public double oneVsAllThreshold

oneVsAllMode

public MultiClassModel.OneVsAllMode oneVsAllMode

allVsAllMode

public MultiClassModel.AllVsAllMode allVsAllMode

minVoteProportion

public double minVoteProportion

falseClassSVlimit

public int falseClassSVlimit

redistributeUnbalancedC

public boolean redistributeUnbalancedC

For unbalanced data, redistribute the misclassification cost C according to the numbers of examples in each class, so that each class has the same total misclassification weight assigned to it and the average is param.C

scaleBinaryMachinesIndependently

public boolean scaleBinaryMachinesIndependently

normalizeL2

public boolean normalizeL2

scalingExamples

public int scalingExamples

When learning scaling, only bother with this many examples, assuming they're in random order.

Constructor Detail

SvmParameter

public SvmParameter()

SvmParameter

public SvmParameter(SvmParameter copyFrom)

Method Detail

getWeights

public java.util.Map<L,java.lang.Float> getWeights()

getCacheRows

public int getCacheRows()

getWeight

public java.lang.Float getWeight(L key)

putWeight

public void putWeight(L key,
                      java.lang.Float weight)