/* * Apache License * Version 2.0, January 2004 * http://www.apache.org/licenses/ * * Copyright 2013 Aurelian Tutuianu * Copyright 2014 Aurelian Tutuianu * Copyright 2015 Aurelian Tutuianu * Copyright 2016 Aurelian Tutuianu * * 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 rapaio.data.filter.frame; import rapaio.core.RandomSource; import rapaio.data.Frame; import rapaio.data.Mapping; import rapaio.data.VRange; import rapaio.data.filter.FFilter; import java.util.ArrayList; import java.util.List; /** * Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> at 12/5/14. */ public class FFShuffle extends AbstractFF { private static final long serialVersionUID = 3868876807602578584L; public FFShuffle() { super(VRange.all()); } @Override public FFilter newInstance() { return new FFShuffle(); } @Override public void train(Frame df) { parse(df); } @Override public Frame apply(Frame df) { List<Integer> mapping = new ArrayList<>(); for (int i = 0; i < df.rowCount(); i++) { mapping.add(i); } for (int i = mapping.size(); i > 1; i--) { mapping.set(i - 1, mapping.set(RandomSource.nextInt(i), mapping.get(i - 1))); } return df.mapRows(Mapping.wrap(mapping)); } }