1 /**
2 * Copyright (c) 2011, The University of Southampton and the individual contributors.
3 * All rights reserved.
4 *
5 * Redistribution and use in source and binary forms, with or without modification,
6 * are permitted provided that the following conditions are met:
7 *
8 * * Redistributions of source code must retain the above copyright notice,
9 * this list of conditions and the following disclaimer.
10 *
11 * * Redistributions in binary form must reproduce the above copyright notice,
12 * this list of conditions and the following disclaimer in the documentation
13 * and/or other materials provided with the distribution.
14 *
15 * * Neither the name of the University of Southampton nor the names of its
16 * contributors may be used to endorse or promote products derived from this
17 * software without specific prior written permission.
18 *
19 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
20 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
21 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
22 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
23 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
24 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
25 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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27 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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29 */
30 package org.openimaj.workinprogress.optimisation;
31
32 import org.openimaj.workinprogress.optimisation.params.Parameters;
33
34 public class EpochAnnealedLearningRate<PTYPE extends Parameters<PTYPE>> extends LearningRate<PTYPE> {
35 private double initialLearningRate;
36 private double annealingRate;
37
38 public EpochAnnealedLearningRate(double initialLearningRate, double annealingRate) {
39 this.initialLearningRate = initialLearningRate;
40 this.annealingRate = annealingRate;
41 }
42
43 public EpochAnnealedLearningRate(double initialLearningRate, int maxEpochs) {
44 this.initialLearningRate = initialLearningRate;
45 this.annealingRate = 0.1 * maxEpochs;
46 }
47
48 @Override
49 public double getRate(int epoch, int iteration, PTYPE parameters) {
50 return initialLearningRate / (1 + epoch / annealingRate);
51 }
52 }