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

Class TrainedModel

java.lang.Object

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

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

All Implemented Interfaces:

java.io.Serializable

public class TrainedModel
extends Model

See Also:

Serialized Form

Field Summary

Fields inherited from class edu.iu.dsc.tws.examples.ml.svm.util.Model

alpha, features, labels, samples, w

Constructor Summary

Constructors

Constructor and Description
TrainedModel()
TrainedModel(BinaryBatchModel binaryBatchModel, double accuracy, double trTime, java.lang.String modelname)
TrainedModel(BinaryBatchModel binaryBatchModel, double accuracy, double trTime, java.lang.String modelname, int par)
TrainedModel(BinaryBatchModel binaryBatchModel, double accuracy, java.lang.String modelname)
TrainedModel(double accuracy, java.lang.String modelname)
TrainedModel(int samples, int features, double[] labels, double[] w)
TrainedModel(int samples, int features, double[] labels, double[] w, double alpha)
TrainedModel(int samples, int features, double[] labels, double[] w, double alpha, double accuracy, java.lang.String modelname)
TrainedModel(int samples, int features, double[] labels, double[] w, double accuracy, java.lang.String modelname)

Method Summary

Modifier and Type	Method and Description
double	getAccuracy()
java.lang.String	getModelName()
void	saveModel(java.lang.String file)
void	setAccuracy(double accuracy)
void	setModelName(java.lang.String modelName)
java.lang.String	toCSVString()
java.lang.String	toString()

Methods inherited from class edu.iu.dsc.tws.examples.ml.svm.util.Model

getAlpha, getFeatures, getLabels, getSamples, getW, setAlpha

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainedModel

public TrainedModel()

TrainedModel

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

TrainedModel

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

TrainedModel

public TrainedModel(double accuracy,
                    java.lang.String modelname)

TrainedModel

public TrainedModel(int samples,
                    int features,
                    double[] labels,
                    double[] w,
                    double accuracy,
                    java.lang.String modelname)

TrainedModel

public TrainedModel(int samples,
                    int features,
                    double[] labels,
                    double[] w,
                    double alpha,
                    double accuracy,
                    java.lang.String modelname)

TrainedModel

public TrainedModel(BinaryBatchModel binaryBatchModel,
                    double accuracy,
                    java.lang.String modelname)

TrainedModel

public TrainedModel(BinaryBatchModel binaryBatchModel,
                    double accuracy,
                    double trTime,
                    java.lang.String modelname)

TrainedModel

public TrainedModel(BinaryBatchModel binaryBatchModel,
                    double accuracy,
                    double trTime,
                    java.lang.String modelname,
                    int par)

Method Detail

saveModel

public void saveModel(java.lang.String file)

Specified by:

saveModel in class Model

getAccuracy

public double getAccuracy()

setAccuracy

public void setAccuracy(double accuracy)

getModelName

public java.lang.String getModelName()

setModelName

public void setModelName(java.lang.String modelName)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

toCSVString

public java.lang.String toCSVString()