org.maltparser.ml.lib

Class MaltLibsvmModel

java.lang.Object

org.maltparser.ml.lib.MaltLibsvmModel

All Implemented Interfaces:

java.io.Serializable, MaltLibModel

public class MaltLibsvmModel
extends java.lang.Object
implements java.io.Serializable, MaltLibModel

This class borrows code from libsvm.svm.java of the Java implementation of the libsvm package. MaltLibsvmModel stores the model obtained from the training procedure. In addition to the original code the model is more integrated to MaltParser. Instead of moving features from MaltParser's internal data structures to liblinear's data structure it uses MaltParser's data structure directly on the model.

Author:

Johan Hall

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
int	l
int[]	label
int	nr_class
int[]	nSV
libsvm.svm_parameter	param
double[]	rho
int[]	start
libsvm.svm_node[][]	SV
double[][]	sv_coef

Constructor Summary

Constructors

Constructor and Description
MaltLibsvmModel(libsvm.svm_model model, libsvm.svm_problem problem)

Method Summary

Modifier and Type	Method and Description
int[]	getLabels()
int	predict_one(MaltFeatureNode[] x)
int[]	predict(MaltFeatureNode[] x)

Methods inherited from class java.lang.Object

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

Field Detail

param

public libsvm.svm_parameter param

nr_class

public int nr_class

l

public int l

SV

public libsvm.svm_node[][] SV

sv_coef

public double[][] sv_coef

rho

public double[] rho

label

public int[] label

nSV

public int[] nSV

start

public int[] start

Constructor Detail

MaltLibsvmModel

public MaltLibsvmModel(libsvm.svm_model model,
                       libsvm.svm_problem problem)

Method Detail

predict

public int[] predict(MaltFeatureNode[] x)

Specified by:

predict in interface MaltLibModel

predict_one

public int predict_one(MaltFeatureNode[] x)

Specified by:

predict_one in interface MaltLibModel

getLabels

public int[] getLabels()