org.maltparser.ml.lib

Class MaltLiblinearModel

java.lang.Object

org.maltparser.ml.lib.MaltLiblinearModel

All Implemented Interfaces:

java.io.Serializable, MaltLibModel

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

This class borrows code from liblinear.Model.java of the Java implementation of the liblinear package. MaltLiblinearModel 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

Constructor Summary

Constructors

Constructor and Description
MaltLiblinearModel(java.io.File modelFile)
MaltLiblinearModel(int[] labels, int nr_class, int nr_feature, double[][] w, de.bwaldvogel.liblinear.SolverType solverType)
MaltLiblinearModel(java.io.Reader inputReader)

Method Summary

Modifier and Type	Method and Description
boolean	equals(java.lang.Object obj)
double	getBias()
int[]	getLabels()
int	getNrClass()
int	getNrFeature()
int	hashCode()
boolean	isProbabilityModel()
int	predict_one(MaltFeatureNode[] x)
int[]	predict(MaltFeatureNode[] x)
java.lang.String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

MaltLiblinearModel

public MaltLiblinearModel(int[] labels,
                          int nr_class,
                          int nr_feature,
                          double[][] w,
                          de.bwaldvogel.liblinear.SolverType solverType)

MaltLiblinearModel

public MaltLiblinearModel(java.io.Reader inputReader)
                   throws java.io.IOException

Throws:

java.io.IOException

MaltLiblinearModel

public MaltLiblinearModel(java.io.File modelFile)
                   throws java.io.IOException

Throws:

java.io.IOException

Method Detail

getNrClass

public int getNrClass()

Returns:

number of classes

getNrFeature

public int getNrFeature()

Returns:

number of features

getLabels

public int[] getLabels()

isProbabilityModel

public boolean isProbabilityModel()

Returns:

true for logistic regression solvers

getBias

public double getBias()

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

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object