/**
* Copyright 2013-2015 Pierre Merienne
*
* 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.
*/
package com.github.pmerienne.trident.ml.testing.data;
import java.util.ArrayList;
import java.util.List;
public class DatasetUtils {
public static <E> List<E> getEvalFold(int foldIndex, int foldNb, List<E> samples) {
List<E> eval = new ArrayList<E>();
int start = foldIndex * (samples.size() / foldNb);
int end = (foldIndex + 1) * (samples.size() / foldNb);
for (int i = 0; i < samples.size(); i++) {
if (i >= start && i < end) {
eval.add(samples.get(i));
}
}
return eval;
}
public static <E> List<E> getTrainingFolds(int foldIndex, int foldNb, List<E> samples) {
List<E> train = new ArrayList<E>();
int start = foldIndex * (samples.size() / foldNb);
int end = (foldIndex + 1) * (samples.size() / foldNb);
for (int i = 0; i < samples.size(); i++) {
if (i < start || i >= end) {
train.add(samples.get(i));
}
}
return train;
}
}