keel.Algorithms.Decision_Trees.CART

Class ResultPrinter

java.lang.Object

keel.Algorithms.Decision_Trees.CART.ResultPrinter

public class ResultPrinter
extends java.lang.Object

Class to print the results of the CART algorithm

Constructor Summary

Constructors

Constructor and Description
ResultPrinter()

Method Summary

Modifier and Type	Method and Description
java.lang.String	getHeader() It returns the header
java.lang.String	getModelResultFile() It gets the model result file
IAttribute	getOutputAttribute() If returns the output attribute
DoubleTransposedDataSet	getTestData() It gets the test data
java.lang.String	getTestResultFile() It gets the test result file
DoubleTransposedDataSet	getTrainData() Ir returns the training data
java.lang.String	getTrainResultFile() It returns the training results file
void	printModelFile(java.lang.Object result) Print result model tree
void	setHeader(java.lang.String header) It sets the header
void	setModelResultFile(java.lang.String modelResultFile) It sets the model result file
void	setOutputAttribute(IAttribute outputAttribute) It sets the output attribute
void	setTestData(DoubleTransposedDataSet testData) It sets the test data
void	setTestResultFile(java.lang.String testResultFile) It sets the test result file
void	setTrainData(DoubleTransposedDataSet trainData) It sets the training data
void	setTrainResultFile(java.lang.String trainResultFile) It sets the training results file
void	writeResults(byte[][] predictedTrain, byte[][] predictedTest) This method print the output file in Keel format for classification problems
void	writeResults(double[] predictedTrain, double[] predictedTest) This method print the output file in Keel format for regression problems

Methods inherited from class java.lang.Object

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

Constructor Detail

ResultPrinter

public ResultPrinter()

Method Detail

getHeader

public java.lang.String getHeader()

It returns the header

Returns:

the header

setHeader

public void setHeader(java.lang.String header)

It sets the header

Parameters:

header - the header to set

getTrainResultFile

public java.lang.String getTrainResultFile()

It returns the training results file

Returns:

the trainResultFile

setTrainResultFile

public void setTrainResultFile(java.lang.String trainResultFile)

It sets the training results file

Parameters:

trainResultFile - the trainResultFile to set

getTestResultFile

public java.lang.String getTestResultFile()

It gets the test result file

Returns:

the testResultFile

setTestResultFile

public void setTestResultFile(java.lang.String testResultFile)

It sets the test result file

Parameters:

testResultFile - the testResultFile to set

getModelResultFile

public java.lang.String getModelResultFile()

It gets the model result file

Returns:

the modelResultFile

setModelResultFile

public void setModelResultFile(java.lang.String modelResultFile)

It sets the model result file

Parameters:

modelResultFile - the modelResultFile to set

getOutputAttribute

public IAttribute getOutputAttribute()

If returns the output attribute

Returns:

the outputAttribute

setOutputAttribute

public void setOutputAttribute(IAttribute outputAttribute)

It sets the output attribute

Parameters:

outputAttribute - the outputAttribute to set

getTrainData

public DoubleTransposedDataSet getTrainData()

Ir returns the training data

Returns:

the trainData

setTrainData

public void setTrainData(DoubleTransposedDataSet trainData)

It sets the training data

Parameters:

trainData - the trainData to set

getTestData

public DoubleTransposedDataSet getTestData()

It gets the test data

Returns:

the testData

setTestData

public void setTestData(DoubleTransposedDataSet testData)

It sets the test data

Parameters:

testData - the testData to set

writeResults

public void writeResults(byte[][] predictedTrain,
                         byte[][] predictedTest)

This method print the output file in Keel format for classification problems

Parameters:

predictedTrain - Output class as binary in rows, patterns in cols for the training data.

predictedTest - Output class as binary in rows, patterns in cols for the test data.

writeResults

public void writeResults(double[] predictedTrain,
                         double[] predictedTest)

This method print the output file in Keel format for regression problems

Parameters:

predictedTrain - Output class as binary in rows, patterns in cols for training.

predictedTest - Output class as binary in rows, patterns in cols for test.

printModelFile

public void printModelFile(java.lang.Object result)

Print result model tree

Parameters:

result -