keel.Algorithms.Neural_Networks.NNEP_Common.problem

Interface IProblem

All Known Implementing Classes:

ClassificationProblemEvaluator, ProblemEvaluator, RegressionProblemEvaluator, SoftmaxClassificationProblemEvaluator

public interface IProblem

Represents a problem with training and test data

Since:

JDK1.5

Version:

0.1

Author:

Written by Pedro Antonio Gutierrez Penya, Aaron Ruiz Mora (University of Cordoba) 17/07/2007

Method Summary

Modifier and Type	Method and Description
Interval	getInputInterval() Returns the input interval of normalized data
Interval	getOutputInterval() Returns the input interval of normalized data
DoubleTransposedDataSet	getTestData() Returns the test data associated to this problem
DoubleTransposedDataSet	getTrainData() Returns the train data associated to this problem
boolean	isDataNormalized() Returns a boolean value indicating if the DataSets are going to be normalized
boolean	isLogTransformation() Returns a boolean value indicating if the DataSets are going to be log transformated

Method Detail

getTrainData

DoubleTransposedDataSet getTrainData()

Returns the train data associated to this problem

Returns:

DataSet Train data set

getTestData

DoubleTransposedDataSet getTestData()

Returns the test data associated to this problem

Returns:

DataSet Test data set

isDataNormalized

boolean isDataNormalized()

Returns a boolean value indicating if the DataSets are going to be normalized

Returns:

true if DataSets going to be normalized

isLogTransformation

boolean isLogTransformation()

Returns a boolean value indicating if the DataSets are going to be log transformated

Returns:

true if DataSets going to be transformated

getInputInterval

Interval getInputInterval()

Returns the input interval of normalized data

Returns:

Interval Input normalization interval

getOutputInterval

Interval getOutputInterval()

Returns the input interval of normalized data

Returns:

Interval Output normalization interval