edu.iu.dsc.tws.examples.ml.svm.util

Class Model

java.lang.Object

edu.iu.dsc.tws.examples.ml.svm.util.Model

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

BinaryBatchModel, TrainedModel

public abstract class Model
extends java.lang.Object
implements java.io.Serializable

This class contains the training model This can be used to provide a single object containing all the information about the trained model. This class can be extended to get the behaviors of Binary classification or multi-class classification model

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected double	alpha Learning rate
protected int	features Number of features in a data point (dimensions)
protected double[]	labels Class labels in the classification {+1,-1} is the default for Binary Classification
protected int	samples Number of data points
protected double[]	w Weight Vector

Constructor Summary

Constructors

Constructor and Description
Model()
Model(int samples, int features, double[] labels, double[] w)
Model(int samples, int features, double[] labels, double[] w, double alpha)

Method Summary

Modifier and Type	Method and Description
double	getAlpha()
int	getFeatures()
double[]	getLabels()
int	getSamples()
double[]	getW()
abstract void	saveModel(java.lang.String file)
void	setAlpha(double alpha)

Methods inherited from class java.lang.Object

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

Field Detail

samples

protected int samples

Number of data points

features

protected int features

Number of features in a data point (dimensions)

labels

protected double[] labels

Class labels in the classification {+1,-1} is the default for Binary Classification

w

protected double[] w

Weight Vector

alpha

protected double alpha

Learning rate

Constructor Detail

Model

public Model()

Model

public Model(int samples,
             int features,
             double[] labels,
             double[] w)

Model

public Model(int samples,
             int features,
             double[] labels,
             double[] w,
             double alpha)

Method Detail

getSamples

public int getSamples()

getFeatures

public int getFeatures()

getLabels

public double[] getLabels()

getW

public double[] getW()

getAlpha

public double getAlpha()

setAlpha

public void setAlpha(double alpha)

saveModel

public abstract void saveModel(java.lang.String file)