1 | // Copyright 2012 Georg-August-Universität Göttingen, Germany |
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2 | // |
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3 | // Licensed under the Apache License, Version 2.0 (the "License"); |
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4 | // you may not use this file except in compliance with the License. |
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5 | // You may obtain a copy of the License at |
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6 | // |
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7 | // http://www.apache.org/licenses/LICENSE-2.0 |
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8 | // |
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9 | // Unless required by applicable law or agreed to in writing, software |
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10 | // distributed under the License is distributed on an "AS IS" BASIS, |
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11 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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12 | // See the License for the specific language governing permissions and |
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13 | // limitations under the License. |
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14 | |
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15 | package de.ugoe.cs.autoquest.tasktrees.temporalrelation; |
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16 | |
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17 | import java.util.HashMap; |
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18 | import java.util.LinkedList; |
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19 | import java.util.List; |
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20 | import java.util.Map; |
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21 | |
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22 | import de.ugoe.cs.autoquest.tasktrees.treeifc.ITask; |
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23 | import de.ugoe.cs.autoquest.tasktrees.treeifc.ITaskInstance; |
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24 | import de.ugoe.cs.autoquest.tasktrees.treeifc.IUserSession; |
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25 | import de.ugoe.cs.autoquest.usageprofiles.SymbolMap; |
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26 | import de.ugoe.cs.autoquest.usageprofiles.Trie; |
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27 | import de.ugoe.cs.autoquest.usageprofiles.TrieProcessor; |
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28 | |
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29 | // TODO: Auto-generated Javadoc |
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30 | /** |
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31 | * <p> |
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32 | * This trie implementation is a performance optimization for generating task |
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33 | * trees. It does not create a full trie but adds only those subsequences having |
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34 | * a chance of occurring most often. For this, it initially counts the number of |
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35 | * occurrences of each task instance. Then, during training, it regularly |
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36 | * determines the number of the currently most often occurring sequence. If this |
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37 | * number is higher than the count of a task instance to be trained, the task |
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38 | * instance is skipped the not added to the trie. |
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39 | * </p> |
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40 | * |
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41 | * @author Patrick Harms |
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42 | */ |
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43 | class TaskInstanceTrie extends Trie<ITaskInstance> { |
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44 | |
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45 | /** |
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46 | * <p> |
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47 | * counter object to be able to call something by the counters reference |
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48 | * </p>. |
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49 | * |
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50 | * @author Patrick Harms |
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51 | */ |
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52 | private static class Counter { |
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53 | |
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54 | /** The count. */ |
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55 | int count = 0; |
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56 | } |
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57 | |
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58 | /** |
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59 | * <p> |
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60 | * trie processor identifying the current maximum count of sequences of a |
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61 | * minimal length of two |
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62 | * </p>. |
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63 | * |
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64 | * @author Patrick Harms |
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65 | */ |
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66 | private static class MaxSequenceCountFinder implements |
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67 | TrieProcessor<ITaskInstance> { |
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68 | |
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69 | /** <p> the current maximum count </p>. */ |
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70 | private int currentCount = 0; |
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71 | |
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72 | /** |
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73 | * <p> |
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74 | * returns the current maximum count |
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75 | * </p>. |
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76 | * |
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77 | * @return the max count |
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78 | */ |
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79 | private int getMaxCount() { |
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80 | return currentCount; |
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81 | } |
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82 | |
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83 | /* |
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84 | * (non-Javadoc) |
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85 | * |
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86 | * @see |
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87 | * de.ugoe.cs.autoquest.usageprofiles.TrieProcessor#process(java.util |
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88 | * .List, int) |
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89 | */ |
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90 | @Override |
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91 | public TrieProcessor.Result process(List<ITaskInstance> foundTask, |
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92 | int count) { |
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93 | if (foundTask.size() == 2) { |
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94 | this.currentCount = Math.max(this.currentCount, count); |
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95 | |
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96 | // do not consider children |
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97 | return TrieProcessor.Result.SKIP_NODE; |
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98 | } else { |
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99 | return TrieProcessor.Result.CONTINUE; |
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100 | } |
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101 | } |
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102 | |
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103 | } |
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104 | |
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105 | /** The Constant serialVersionUID. */ |
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106 | private static final long serialVersionUID = 1L; |
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107 | |
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108 | /** <p> the task handling strategy to be used for comparing tasks </p>. */ |
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109 | private final TaskHandlingStrategy taskStrategy; |
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110 | |
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111 | /** |
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112 | * <p> |
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113 | * instantiated the trie with the task handling strategy to be used |
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114 | * </p>. |
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115 | * |
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116 | * @param taskStrategy the task handling strategy to be used for comparing tasks |
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117 | */ |
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118 | public TaskInstanceTrie(TaskHandlingStrategy taskStrategy) { |
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119 | super(taskStrategy); |
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120 | this.taskStrategy = taskStrategy; |
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121 | } |
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122 | |
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123 | /* |
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124 | * (non-Javadoc) |
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125 | * |
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126 | * @see de.ugoe.cs.autoquest.usageprofiles.Trie#equals(java.lang.Object) |
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127 | */ |
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128 | @Override |
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129 | public boolean equals(Object other) { |
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130 | if (this == other) { |
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131 | return true; |
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132 | } else if (other instanceof TaskInstanceTrie) { |
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133 | return super.equals(other); |
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134 | } else { |
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135 | return false; |
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136 | } |
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137 | } |
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138 | |
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139 | /** |
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140 | * <p> |
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141 | * determines the current maximum count of sequences of a minimal length of |
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142 | * two. Task instances occuring more seldom do not have to be considered |
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143 | * anymore |
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144 | * </p> |
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145 | * |
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146 | * @return the current maximum count of sequences of a minimal length of two |
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147 | */ |
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148 | private int getCurrentSequenceMaxCount() { |
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149 | final MaxSequenceCountFinder processor = new MaxSequenceCountFinder(); |
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150 | super.process(processor); |
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151 | return processor.getMaxCount(); |
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152 | } |
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153 | |
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154 | /* |
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155 | * (non-Javadoc) |
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156 | * |
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157 | * @see de.ugoe.cs.autoquest.usageprofiles.Trie#hashCode() |
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158 | */ |
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159 | @Override |
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160 | public int hashCode() { |
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161 | return super.hashCode(); |
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162 | } |
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163 | |
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164 | /** |
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165 | * <p> |
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166 | * internally used convenience method for implementing the training |
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167 | * optimization |
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168 | * </p>. |
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169 | * |
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170 | * @param userSession the user session |
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171 | * @param maxOrder the max order |
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172 | * @param taskInstanceCountMap the task instance count map |
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173 | * @param processedTaskInstances the processed task instances |
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174 | * @param counterRecheckAt the counter recheck at |
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175 | */ |
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176 | private void train(IUserSession userSession, int maxOrder, |
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177 | Map<ITask, Counter> taskInstanceCountMap, |
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178 | Counter processedTaskInstances, int counterRecheckAt) { |
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179 | final List<ITaskInstance> subsequence = new LinkedList<ITaskInstance>(); |
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180 | |
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181 | int sequenceMaxCount = 0; |
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182 | |
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183 | for (final ITaskInstance currentTaskInstance : userSession) { |
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184 | |
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185 | final int occurrenceCount = taskInstanceCountMap |
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186 | .get(currentTaskInstance.getTask()).count; |
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187 | |
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188 | if (processedTaskInstances.count >= counterRecheckAt) { |
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189 | sequenceMaxCount = getCurrentSequenceMaxCount(); |
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190 | processedTaskInstances.count = 0; |
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191 | } |
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192 | |
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193 | if (occurrenceCount < sequenceMaxCount) { |
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194 | // this task instance does not need to be considered, as it |
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195 | // occurs not often enough |
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196 | // to be part of a sequence, that occurs most often. Therefore |
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197 | // train all remaining |
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198 | // sequences so far and go on, until the next useful sequence is |
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199 | // found. |
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200 | |
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201 | while (subsequence.size() > 1) { |
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202 | add(subsequence); |
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203 | subsequence.remove(0); |
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204 | } |
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205 | |
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206 | subsequence.clear(); |
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207 | } else { |
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208 | subsequence.add(currentTaskInstance); |
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209 | |
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210 | if (subsequence.size() == maxOrder) { |
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211 | add(subsequence); |
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212 | subsequence.remove(0); |
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213 | } |
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214 | } |
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215 | |
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216 | processedTaskInstances.count++; |
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217 | } |
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218 | |
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219 | // add shorter remaining subsequences, if any |
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220 | while (subsequence.size() > 1) { |
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221 | add(subsequence); |
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222 | subsequence.remove(0); |
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223 | } |
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224 | } |
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225 | |
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226 | /** |
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227 | * <p> |
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228 | * trains this trie with the provided user sessions up to the provided |
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229 | * maximum depth using the optimization described in the description of this |
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230 | * class. |
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231 | * </p> |
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232 | * |
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233 | * @param userSessions |
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234 | * the sessions for which this trie is to be trained |
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235 | * @param maxOrder |
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236 | * the depth of the trie |
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237 | */ |
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238 | public void trainSessions(List<IUserSession> userSessions, int maxOrder) { |
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239 | if (maxOrder < 1) { |
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240 | return; |
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241 | } |
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242 | |
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243 | final SymbolMap<ITaskInstance, Counter> equalTaskInstancesMap = taskStrategy |
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244 | .createSymbolMap(); |
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245 | |
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246 | final Map<ITask, Counter> instanceCountMap = new HashMap<ITask, Counter>(); |
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247 | |
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248 | System.out.println("preparing training"); |
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249 | int noOfTaskInstances = 0; |
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250 | for (final IUserSession session : userSessions) { |
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251 | for (final ITaskInstance taskInstance : session) { |
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252 | Counter counter = equalTaskInstancesMap.getValue(taskInstance); |
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253 | |
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254 | if (counter == null) { |
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255 | counter = new Counter(); |
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256 | equalTaskInstancesMap.addSymbol(taskInstance, counter); |
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257 | } |
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258 | |
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259 | counter.count++; |
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260 | instanceCountMap.put(taskInstance.getTask(), counter); |
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261 | |
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262 | noOfTaskInstances++; |
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263 | } |
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264 | } |
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265 | |
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266 | System.out.println("performing training of " + noOfTaskInstances |
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267 | + " task instances"); |
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268 | final Counter processedTaskInstances = new Counter(); |
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269 | final int counterRecheckAt = noOfTaskInstances / 10; // recheck the |
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270 | // maximum count |
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271 | // after each |
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272 | // 10% of processed task instances |
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273 | for (final IUserSession session : userSessions) { |
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274 | train(session, maxOrder, instanceCountMap, processedTaskInstances, |
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275 | counterRecheckAt); |
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276 | } |
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277 | |
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278 | updateKnownSymbols(); |
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279 | } |
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280 | |
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281 | } |
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