/** * 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; } }