keel.Algorithms.Semi_Supervised_Learning.Basic

Class HandlerNB

java.lang.Object

keel.Algorithms.Semi_Supervised_Learning.Basic.HandlerNB

public class HandlerNB
extends java.lang.Object

Handler for Naive Bayes algorithm.

Constructor Summary

Constructors

Constructor and Description
HandlerNB() Default constructor.
HandlerNB(double[][] train, int[] clasesTrain, double[][] test, int[] clasesTest, int clases) Parameter constructor.
HandlerNB(InstanceSet train, InstanceSet test) Parameter constructor.
HandlerNB(java.lang.String train, java.lang.String test, int ninstances, int nClasses) Parameter constructor.

Method Summary

Modifier and Type	Method and Description
void	deleteFiles() Deletes all the files generated.
void	ejecutar(double[][] train, int[] clasesTrain, double[][] test, int[] clasesTest, int clases) Executes the algorithms with the datasets given.
void	generateFiles_Instance(InstanceSet train, InstanceSet test) Executes the algorithms with the datasets given and generates the files with the results.
void	generateFiles() Executes the algorithm and generates the files with the results.
int[]	getPredictions() Returns the predictions for each instance.
double[][]	getProbabilities() Returns the classes probabilities.

Methods inherited from class java.lang.Object

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

Constructor Detail

HandlerNB

public HandlerNB()

Default constructor.

HandlerNB

public HandlerNB(java.lang.String train,
                 java.lang.String test,
                 int ninstances,
                 int nClasses)
          throws java.lang.Exception

Parameter constructor. Initiates the basics variables and executes the algorithm.

Parameters:

train - Training dataset filename.

test - Test dataset filename.

ninstances - number of instances.

nClasses - number of classes.

Throws:

java.lang.Exception - if the algorithm can not be executed (problems with the files or the datasets given).

HandlerNB

public HandlerNB(InstanceSet train,
                 InstanceSet test)
          throws java.lang.Exception

Parameter constructor. Executes the algorithms with the datasets given.

Parameters:

train - Training instances set.

test - Test instances set.

Throws:

java.lang.Exception - if the algorithm can not be executed (problems with the files or the datasets given).

HandlerNB

public HandlerNB(double[][] train,
                 int[] clasesTrain,
                 double[][] test,
                 int[] clasesTest,
                 int clases)
          throws java.lang.Exception

Parameter constructor. Executes the algorithms with the datasets given.

Parameters:

train - Training input dataset as arrays.

clasesTrain - Training output dataset as arrays.

test - Test input dataset as arrays.

clasesTest - Test output dataset as arrays.

clases - numnber of classes

Throws:

java.lang.Exception - if the algorithm can not be executed (problems with the files or the datasets given).

Method Detail

ejecutar

public void ejecutar(double[][] train,
                     int[] clasesTrain,
                     double[][] test,
                     int[] clasesTest,
                     int clases)
              throws java.lang.Exception

Executes the algorithms with the datasets given.

Parameters:

train - Training input dataset as arrays.

clasesTrain - Training output dataset as arrays.

test - Test input dataset as arrays.

clasesTest - Test output dataset as arrays.

clases - numnber of classes

Throws:

java.lang.Exception - if the algorithm can not be executed (problems with the files or the datasets given).

generateFiles_Instance

public void generateFiles_Instance(InstanceSet train,
                                   InstanceSet test)
                            throws java.lang.Exception

Executes the algorithms with the datasets given and generates the files with the results.

Parameters:

train - Training instances set.

test - Test instances set.

Throws:

java.lang.Exception - if the algorithm can not be executed (problems with the files or the datasets given).

generateFiles

public void generateFiles()
                   throws java.lang.Exception

Executes the algorithm and generates the files with the results.

Throws:

java.lang.Exception - if the algorithm can not be executed (problems with the files or the datasets given).

deleteFiles

public void deleteFiles()

Deletes all the files generated.

getPredictions

public int[] getPredictions()

Returns the predictions for each instance.

Returns:

the predictions

getProbabilities

public double[][] getProbabilities()

Returns the classes probabilities.

Returns:

the classes probabilities.