001/** 002 * Copyright (c) 2011, The University of Southampton and the individual contributors. 003 * All rights reserved. 004 * 005 * Redistribution and use in source and binary forms, with or without modification, 006 * are permitted provided that the following conditions are met: 007 * 008 * * Redistributions of source code must retain the above copyright notice, 009 * this list of conditions and the following disclaimer. 010 * 011 * * Redistributions in binary form must reproduce the above copyright notice, 012 * this list of conditions and the following disclaimer in the documentation 013 * and/or other materials provided with the distribution. 014 * 015 * * Neither the name of the University of Southampton nor the names of its 016 * contributors may be used to endorse or promote products derived from this 017 * software without specific prior written permission. 018 * 019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR 023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON 026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 029 */ 030package org.openimaj.ml.annotation.basic.util; 031 032import java.util.List; 033import java.util.Random; 034 035import org.openimaj.ml.annotation.Annotated; 036 037/** 038 * Choose a random number of annotations between the given 039 * limits. 040 * 041 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 042 */ 043public class RandomChooser implements NumAnnotationsChooser { 044 protected final Random rng = new Random(); 045 protected int min; 046 protected int max; 047 048 /** 049 * Construct so that the maximum possible number of annotations 050 * is max and the minimum is 0. 051 * @param max the maximum possible number of annotations 052 */ 053 public RandomChooser(int max) { 054 this.max = max; 055 } 056 057 /** 058 * Construct so that the minimium possible number of annotations 059 * is min and the maximum is max. 060 * @param min the minimium possible number of annotations 061 * @param max the maximum possible number of annotations 062 */ 063 public RandomChooser(int min, int max) { 064 this.min = min; 065 this.max = max; 066 } 067 068 @Override 069 public <O, A> void train(List<? extends Annotated<O, A>> data) { 070 //Do nothing 071 } 072 073 @Override 074 public int numAnnotations() { 075 return rng.nextInt(min + max) - min; 076 } 077}