/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.data.cross;
import org.encog.ml.MLMethod;
import org.encog.ml.data.versatile.MatrixMLDataSet;
public class DataFold {
private final MatrixMLDataSet training;
private final MatrixMLDataSet validation;
private double score;
private MLMethod method;
public DataFold(MatrixMLDataSet theTraining,MatrixMLDataSet theValidation) {
this.training = theTraining;
this.validation = theValidation;
}
/**
* @return the score
*/
public double getScore() {
return score;
}
/**
* @param score the score to set
*/
public void setScore(double score) {
this.score = score;
}
/**
* @return the training
*/
public MatrixMLDataSet getTraining() {
return training;
}
/**
* @return the validation
*/
public MatrixMLDataSet getValidation() {
return validation;
}
/**
* @return the method
*/
public MLMethod getMethod() {
return method;
}
/**
* @param method the method to set
*/
public void setMethod(MLMethod method) {
this.method = method;
}
}