1 | /* |
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2 | * This program is free software; you can redistribute it and/or modify |
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3 | * it under the terms of the GNU General Public License as published by |
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4 | * the Free Software Foundation; either version 2 of the License, or |
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5 | * (at your option) any later version. |
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6 | * |
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7 | * This program is distributed in the hope that it will be useful, |
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8 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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9 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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10 | * GNU General Public License for more details. |
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11 | * |
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12 | * You should have received a copy of the GNU General Public License |
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13 | * along with this program; if not, write to the Free Software |
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14 | * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. |
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15 | */ |
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16 | |
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17 | /* |
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18 | * BoundaryPanelDistrubuted.java |
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19 | * Copyright (C) 2003 University of Waikato, Hamilton, New Zealand |
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20 | * |
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21 | */ |
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22 | |
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23 | package weka.gui.boundaryvisualizer; |
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24 | |
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25 | import weka.classifiers.Classifier; |
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26 | import weka.classifiers.AbstractClassifier; |
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27 | import weka.core.FastVector; |
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28 | import weka.core.Instances; |
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29 | import weka.core.Utils; |
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30 | import weka.experiment.Compute; |
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31 | import weka.experiment.RemoteExperimentEvent; |
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32 | import weka.experiment.RemoteExperimentListener; |
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33 | import weka.experiment.TaskStatusInfo; |
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34 | |
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35 | import java.awt.BorderLayout; |
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36 | import java.io.BufferedReader; |
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37 | import java.io.FileInputStream; |
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38 | import java.io.FileReader; |
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39 | import java.io.ObjectInputStream; |
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40 | import java.rmi.Naming; |
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41 | import java.util.Vector; |
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42 | |
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43 | /** |
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44 | * This class extends BoundaryPanel with code for distributing the |
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45 | * processing necessary to create a visualization among a list of |
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46 | * remote machines. Specifically, a visualization is broken down and |
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47 | * processed row by row using the available remote computers. |
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48 | * |
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49 | * @author <a href="mailto:mhall@cs.waikato.ac.nz">Mark Hall</a> |
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50 | * @version $Revision: 5928 $ |
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51 | * @since 1.0 |
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52 | * @see BoundaryPanel |
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53 | */ |
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54 | public class BoundaryPanelDistributed |
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55 | extends BoundaryPanel { |
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56 | |
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57 | /** for serialization */ |
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58 | private static final long serialVersionUID = -1743284397893937776L; |
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59 | |
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60 | /** a list of RemoteExperimentListeners */ |
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61 | protected Vector m_listeners = new Vector(); |
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62 | |
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63 | /** Holds the names of machines with remoteEngine servers running */ |
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64 | protected Vector m_remoteHosts = new Vector(); |
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65 | |
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66 | /** The queue of available hosts */ |
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67 | private weka.core.Queue m_remoteHostsQueue = new weka.core.Queue(); |
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68 | |
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69 | /** The status of each of the remote hosts */ |
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70 | private int [] m_remoteHostsStatus; |
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71 | |
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72 | /** The number of times tasks have failed on each remote host */ |
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73 | private int [] m_remoteHostFailureCounts; |
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74 | |
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75 | protected static final int AVAILABLE=0; |
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76 | protected static final int IN_USE=1; |
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77 | protected static final int CONNECTION_FAILED=2; |
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78 | protected static final int SOME_OTHER_FAILURE=3; |
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79 | |
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80 | protected static final int MAX_FAILURES=3; |
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81 | |
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82 | /** Set to true if MAX_FAILURES exceeded on all hosts or connections fail |
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83 | on all hosts or user aborts plotting */ |
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84 | private boolean m_plottingAborted = false; |
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85 | |
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86 | /** The number of hosts removed due to exceeding max failures */ |
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87 | private int m_removedHosts; |
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88 | |
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89 | /** The count of failed sub-tasks */ |
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90 | private int m_failedCount; |
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91 | |
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92 | /** The count of successfully completed sub-tasks */ |
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93 | private int m_finishedCount; |
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94 | |
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95 | /** The queue of sub-tasks waiting to be processed */ |
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96 | private weka.core.Queue m_subExpQueue = new weka.core.Queue(); |
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97 | |
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98 | /** number of seconds between polling server */ |
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99 | private int m_minTaskPollTime = 1000; |
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100 | |
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101 | private int [] m_hostPollingTime; |
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102 | |
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103 | /** |
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104 | * Creates a new <code>BoundaryPanelDistributed</code> instance. |
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105 | * |
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106 | * @param panelWidth width of the display |
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107 | * @param panelHeight height of the display |
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108 | */ |
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109 | public BoundaryPanelDistributed(int panelWidth, int panelHeight) { |
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110 | super(panelWidth, panelHeight); |
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111 | } |
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112 | |
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113 | /** |
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114 | * Set a list of host names of machines to distribute processing to |
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115 | * |
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116 | * @param remHosts a Vector of host names (Strings) |
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117 | */ |
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118 | public void setRemoteHosts(Vector remHosts) { |
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119 | m_remoteHosts = remHosts; |
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120 | } |
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121 | |
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122 | /** |
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123 | * Add an object to the list of those interested in recieving update |
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124 | * information from the RemoteExperiment |
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125 | * @param r a listener |
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126 | */ |
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127 | public void addRemoteExperimentListener(RemoteExperimentListener r) { |
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128 | m_listeners.addElement(r); |
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129 | } |
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130 | |
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131 | protected void initialize() { |
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132 | super.initialize(); |
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133 | |
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134 | m_plottingAborted = false; |
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135 | m_finishedCount = 0; |
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136 | m_failedCount = 0; |
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137 | |
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138 | // initialize all remote hosts to available |
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139 | m_remoteHostsStatus = new int [m_remoteHosts.size()]; |
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140 | m_remoteHostFailureCounts = new int [m_remoteHosts.size()]; |
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141 | |
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142 | m_remoteHostsQueue = new weka.core.Queue(); |
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143 | |
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144 | if (m_remoteHosts.size() == 0) { |
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145 | System.err.println("No hosts specified!"); |
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146 | System.exit(1); |
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147 | } |
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148 | |
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149 | // prime the hosts queue |
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150 | m_hostPollingTime = new int [m_remoteHosts.size()]; |
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151 | for (int i=0;i<m_remoteHosts.size();i++) { |
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152 | m_remoteHostsQueue.push(new Integer(i)); |
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153 | m_hostPollingTime[i] = m_minTaskPollTime; |
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154 | } |
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155 | |
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156 | // set up sub taskss (just holds the row numbers to be processed |
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157 | m_subExpQueue = new weka.core.Queue(); |
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158 | for (int i = 0; i < m_panelHeight; i++) { |
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159 | m_subExpQueue.push(new Integer(i)); |
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160 | } |
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161 | |
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162 | try { |
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163 | // need to build classifier and data generator |
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164 | m_classifier.buildClassifier(m_trainingData); |
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165 | } catch (Exception ex) { |
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166 | ex.printStackTrace(); |
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167 | System.exit(1); |
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168 | } |
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169 | |
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170 | boolean [] attsToWeightOn; |
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171 | // build DataGenerator |
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172 | attsToWeightOn = new boolean[m_trainingData.numAttributes()]; |
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173 | attsToWeightOn[m_xAttribute] = true; |
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174 | attsToWeightOn[m_yAttribute] = true; |
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175 | |
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176 | m_dataGenerator.setWeightingDimensions(attsToWeightOn); |
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177 | try { |
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178 | m_dataGenerator.buildGenerator(m_trainingData); |
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179 | } catch (Exception ex) { |
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180 | ex.printStackTrace(); |
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181 | System.exit(1); |
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182 | } |
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183 | } |
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184 | |
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185 | /** |
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186 | * Start processing |
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187 | * |
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188 | * @exception Exception if an error occurs |
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189 | */ |
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190 | public void start() throws Exception { |
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191 | // done in the sub task |
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192 | /* m_numOfSamplesPerGenerator = |
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193 | (int)Math.pow(m_samplesBase, m_trainingData.numAttributes()-3); */ |
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194 | |
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195 | m_stopReplotting = true; |
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196 | if (m_trainingData == null) { |
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197 | throw new Exception("No training data set (BoundaryPanel)"); |
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198 | } |
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199 | if (m_classifier == null) { |
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200 | throw new Exception("No classifier set (BoundaryPanel)"); |
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201 | } |
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202 | if (m_dataGenerator == null) { |
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203 | throw new Exception("No data generator set (BoundaryPanel)"); |
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204 | } |
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205 | if (m_trainingData.attribute(m_xAttribute).isNominal() || |
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206 | m_trainingData.attribute(m_yAttribute).isNominal()) { |
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207 | throw new Exception("Visualization dimensions must be numeric " |
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208 | +"(BoundaryPanel)"); |
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209 | } |
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210 | |
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211 | computeMinMaxAtts(); |
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212 | initialize(); |
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213 | |
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214 | // launch tasks on all available hosts |
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215 | int totalHosts = m_remoteHostsQueue.size(); |
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216 | for (int i = 0; i < totalHosts; i++) { |
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217 | availableHost(-1); |
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218 | Thread.sleep(70); |
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219 | } |
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220 | } |
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221 | |
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222 | /** |
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223 | * Push a host back onto the list of available hosts and launch a waiting |
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224 | * Task (if any). |
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225 | * |
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226 | * @param hostNum the number of the host to return to the queue. -1 |
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227 | * if no host to return. |
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228 | */ |
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229 | protected synchronized void availableHost(int hostNum) { |
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230 | if (hostNum >= 0) { |
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231 | if (m_remoteHostFailureCounts[hostNum] < MAX_FAILURES) { |
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232 | m_remoteHostsQueue.push(new Integer(hostNum)); |
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233 | } else { |
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234 | notifyListeners(false,true,false,"Max failures exceeded for host " |
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235 | +((String)m_remoteHosts.elementAt(hostNum)) |
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236 | +". Removed from host list."); |
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237 | m_removedHosts++; |
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238 | } |
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239 | } |
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240 | |
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241 | // check for all sub exp complete or all hosts failed or failed count |
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242 | // exceeded |
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243 | if (m_failedCount == (MAX_FAILURES * m_remoteHosts.size())) { |
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244 | m_plottingAborted = true; |
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245 | notifyListeners(false,true,true,"Plotting aborted! Max failures " |
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246 | +"exceeded on all remote hosts."); |
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247 | return; |
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248 | } |
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249 | |
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250 | /* System.err.println("--------------"); |
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251 | System.err.println("exp q :"+m_subExpQueue.size()); |
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252 | System.err.println("host list size "+m_remoteHosts.size()); |
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253 | System.err.println("actual host list size "+m_remoteHostsQueue.size()); |
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254 | System.err.println("removed hosts "+m_removedHosts); */ |
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255 | if (m_subExpQueue.size() == 0 && |
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256 | (m_remoteHosts.size() == |
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257 | (m_remoteHostsQueue.size() + m_removedHosts))) { |
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258 | if (m_plotTrainingData) { |
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259 | plotTrainingData(); |
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260 | } |
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261 | notifyListeners(false,true,true,"Plotting completed successfully."); |
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262 | |
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263 | return; |
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264 | } |
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265 | |
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266 | |
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267 | if (checkForAllFailedHosts()) { |
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268 | return; |
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269 | } |
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270 | |
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271 | if (m_plottingAborted && |
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272 | (m_remoteHostsQueue.size() + m_removedHosts) == |
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273 | m_remoteHosts.size()) { |
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274 | notifyListeners(false,true,true,"Plotting aborted. All remote tasks " |
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275 | +"finished."); |
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276 | } |
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277 | |
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278 | if (!m_subExpQueue.empty() && !m_plottingAborted) { |
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279 | if (!m_remoteHostsQueue.empty()) { |
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280 | int availHost, waitingTask; |
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281 | try { |
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282 | availHost = ((Integer)m_remoteHostsQueue.pop()).intValue(); |
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283 | waitingTask = ((Integer)m_subExpQueue.pop()).intValue(); |
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284 | launchNext(waitingTask, availHost); |
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285 | } catch (Exception ex) { |
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286 | ex.printStackTrace(); |
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287 | } |
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288 | } |
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289 | } |
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290 | } |
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291 | |
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292 | /** |
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293 | * Inform all listeners of progress |
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294 | * @param status true if this is a status type of message |
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295 | * @param log true if this is a log type of message |
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296 | * @param finished true if the remote task has finished |
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297 | * @param message the message. |
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298 | */ |
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299 | private synchronized void notifyListeners(boolean status, |
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300 | boolean log, |
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301 | boolean finished, |
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302 | String message) { |
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303 | if (m_listeners.size() > 0) { |
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304 | for (int i=0;i<m_listeners.size();i++) { |
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305 | RemoteExperimentListener r = |
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306 | (RemoteExperimentListener)(m_listeners.elementAt(i)); |
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307 | r.remoteExperimentStatus(new RemoteExperimentEvent(status, |
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308 | log, |
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309 | finished, |
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310 | message)); |
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311 | } |
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312 | } else { |
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313 | System.err.println(message); |
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314 | } |
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315 | } |
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316 | |
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317 | /** |
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318 | * Check to see if we have failed to connect to all hosts |
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319 | */ |
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320 | private boolean checkForAllFailedHosts() { |
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321 | boolean allbad = true; |
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322 | for (int i = 0; i < m_remoteHostsStatus.length; i++) { |
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323 | if (m_remoteHostsStatus[i] != CONNECTION_FAILED) { |
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324 | allbad = false; |
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325 | break; |
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326 | } |
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327 | } |
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328 | if (allbad) { |
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329 | m_plottingAborted = true; |
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330 | notifyListeners(false,true,true,"Plotting aborted! All connections " |
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331 | +"to remote hosts failed."); |
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332 | } |
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333 | return allbad; |
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334 | } |
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335 | |
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336 | /** |
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337 | * Increment the number of successfully completed sub experiments |
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338 | */ |
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339 | protected synchronized void incrementFinished() { |
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340 | m_finishedCount++; |
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341 | } |
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342 | |
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343 | /** |
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344 | * Increment the overall number of failures and the number of failures for |
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345 | * a particular host |
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346 | * @param hostNum the index of the host to increment failure count |
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347 | */ |
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348 | protected synchronized void incrementFailed(int hostNum) { |
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349 | m_failedCount++; |
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350 | m_remoteHostFailureCounts[hostNum]++; |
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351 | } |
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352 | |
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353 | /** |
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354 | * Push an experiment back on the queue of waiting experiments |
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355 | * @param expNum the index of the experiment to push onto the queue |
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356 | */ |
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357 | protected synchronized void waitingTask(int expNum) { |
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358 | m_subExpQueue.push(new Integer(expNum)); |
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359 | } |
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360 | |
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361 | protected void launchNext(final int wtask, final int ah) { |
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362 | Thread subTaskThread; |
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363 | subTaskThread = new Thread() { |
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364 | public void run() { |
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365 | m_remoteHostsStatus[ah] = IN_USE; |
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366 | // m_subExpComplete[wtask] = TaskStatusInfo.PROCESSING; |
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367 | RemoteBoundaryVisualizerSubTask vSubTask = |
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368 | new RemoteBoundaryVisualizerSubTask(); |
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369 | vSubTask.setXAttribute(m_xAttribute); |
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370 | vSubTask.setYAttribute(m_yAttribute); |
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371 | vSubTask.setRowNumber(wtask); |
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372 | vSubTask.setPanelWidth(m_panelWidth); |
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373 | vSubTask.setPanelHeight(m_panelHeight); |
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374 | vSubTask.setPixHeight(m_pixHeight); |
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375 | vSubTask.setPixWidth(m_pixWidth); |
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376 | vSubTask.setClassifier(m_classifier); |
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377 | vSubTask.setDataGenerator(m_dataGenerator); |
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378 | vSubTask.setInstances(m_trainingData); |
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379 | vSubTask.setMinMaxX(m_minX, m_maxX); |
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380 | vSubTask.setMinMaxY(m_minY, m_maxY); |
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381 | vSubTask.setNumSamplesPerRegion(m_numOfSamplesPerRegion); |
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382 | vSubTask.setGeneratorSamplesBase(m_samplesBase); |
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383 | try { |
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384 | String name = "//" |
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385 | +((String)m_remoteHosts.elementAt(ah)) |
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386 | +"/RemoteEngine"; |
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387 | Compute comp = (Compute) Naming.lookup(name); |
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388 | // assess the status of the sub-exp |
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389 | notifyListeners(false,true,false,"Starting row " |
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390 | +wtask |
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391 | +" on host " |
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392 | +((String)m_remoteHosts.elementAt(ah))); |
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393 | Object subTaskId = comp.executeTask(vSubTask); |
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394 | boolean finished = false; |
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395 | TaskStatusInfo is = null; |
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396 | long startTime = System.currentTimeMillis(); |
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397 | while (!finished) { |
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398 | try { |
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399 | Thread.sleep(Math.max(m_minTaskPollTime, |
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400 | m_hostPollingTime[ah])); |
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401 | |
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402 | TaskStatusInfo cs = (TaskStatusInfo)comp. |
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403 | checkStatus(subTaskId); |
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404 | if (cs.getExecutionStatus() == TaskStatusInfo.FINISHED) { |
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405 | // push host back onto queue and try launching any waiting |
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406 | // sub-experiments |
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407 | long runTime = System.currentTimeMillis() - startTime; |
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408 | runTime /= 4; |
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409 | if (runTime < 1000) { |
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410 | runTime = 1000; |
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411 | } |
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412 | m_hostPollingTime[ah] = (int)runTime; |
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413 | |
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414 | // Extract the row from the result |
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415 | RemoteResult rr = (RemoteResult)cs.getTaskResult(); |
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416 | double [][] probs = rr.getProbabilities(); |
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417 | |
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418 | for (int i = 0; i < m_panelWidth; i++) { |
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419 | m_probabilityCache[wtask][i] = probs[i]; |
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420 | if (i < m_panelWidth-1) { |
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421 | plotPoint(i, wtask, probs[i], false); |
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422 | } else { |
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423 | plotPoint(i, wtask, probs[i], true); |
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424 | } |
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425 | } |
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426 | notifyListeners(false, true, false, cs.getStatusMessage()); |
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427 | m_remoteHostsStatus[ah] = AVAILABLE; |
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428 | incrementFinished(); |
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429 | availableHost(ah); |
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430 | finished = true; |
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431 | } else if (cs.getExecutionStatus() == |
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432 | TaskStatusInfo.FAILED) { |
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433 | // a non connection related error---possibly host doesn't have |
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434 | // access to data sets or security policy is not set up |
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435 | // correctly or classifier(s) failed for some reason |
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436 | notifyListeners(false, true, false, |
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437 | cs.getStatusMessage()); |
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438 | m_remoteHostsStatus[ah] = SOME_OTHER_FAILURE; |
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439 | // m_subExpComplete[wexp] = TaskStatusInfo.FAILED; |
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440 | notifyListeners(false,true,false,"Row "+wtask |
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441 | +" "+cs.getStatusMessage() |
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442 | +". Scheduling for execution on another host."); |
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443 | incrementFailed(ah); |
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444 | // push experiment back onto queue |
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445 | waitingTask(wtask); |
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446 | // push host back onto queue and try launching any waiting |
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447 | // Tasks. Host is pushed back on the queue as the |
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448 | // failure may be temporary. |
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449 | availableHost(ah); |
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450 | finished = true; |
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451 | } else { |
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452 | if (is == null) { |
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453 | is = cs; |
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454 | notifyListeners(false, true, false, cs.getStatusMessage()); |
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455 | } else { |
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456 | RemoteResult rr = (RemoteResult)cs.getTaskResult(); |
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457 | if (rr != null) { |
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458 | int percentComplete = rr.getPercentCompleted(); |
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459 | String timeRemaining = ""; |
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460 | if (percentComplete > 0 && percentComplete < 100) { |
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461 | double timeSoFar = (double)System.currentTimeMillis() - |
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462 | (double)startTime; |
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463 | double timeToGo = |
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464 | ((100.0 - percentComplete) |
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465 | / (double)percentComplete) * timeSoFar; |
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466 | if (timeToGo < m_hostPollingTime[ah]) { |
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467 | m_hostPollingTime[ah] = (int)timeToGo; |
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468 | } |
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469 | String units = "seconds"; |
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470 | timeToGo /= 1000.0; |
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471 | if (timeToGo > 60) { |
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472 | units = "minutes"; |
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473 | timeToGo /= 60.0; |
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474 | } |
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475 | if (timeToGo > 60) { |
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476 | units = "hours"; |
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477 | timeToGo /= 60.0; |
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478 | } |
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479 | timeRemaining = " (approx. time remaining " |
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480 | +Utils.doubleToString(timeToGo, 1)+" "+units+")"; |
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481 | } |
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482 | if (percentComplete < 25 |
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483 | /*&& minTaskPollTime < 30000*/) { |
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484 | if (percentComplete > 0) { |
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485 | m_hostPollingTime[ah] = |
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486 | (int)((25.0 / (double)percentComplete) * |
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487 | m_hostPollingTime[ah]); |
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488 | } else { |
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489 | m_hostPollingTime[ah] *= 2; |
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490 | } |
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491 | if (m_hostPollingTime[ah] > 60000) { |
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492 | m_hostPollingTime[ah] = 60000; |
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493 | } |
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494 | } |
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495 | notifyListeners(false, true, false, |
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496 | "Row "+wtask+" "+percentComplete |
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497 | +"% complete"+timeRemaining+"."); |
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498 | } else { |
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499 | notifyListeners(false, true, false, |
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500 | "Row "+wtask+" queued on " |
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501 | +((String)m_remoteHosts. |
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502 | elementAt(ah))); |
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503 | if (m_hostPollingTime[ah] < 60000) { |
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504 | m_hostPollingTime[ah] *= 2; |
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505 | } |
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506 | } |
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507 | |
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508 | is = cs; |
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509 | } |
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510 | } |
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511 | } catch (InterruptedException ie) { |
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512 | ie.printStackTrace(); |
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513 | } |
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514 | } |
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515 | } catch (Exception ce) { |
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516 | m_remoteHostsStatus[ah] = CONNECTION_FAILED; |
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517 | m_removedHosts++; |
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518 | System.err.println(ce); |
---|
519 | ce.printStackTrace(); |
---|
520 | notifyListeners(false,true,false,"Connection to " |
---|
521 | +((String)m_remoteHosts.elementAt(ah)) |
---|
522 | +" failed. Scheduling row " |
---|
523 | +wtask |
---|
524 | +" for execution on another host."); |
---|
525 | checkForAllFailedHosts(); |
---|
526 | waitingTask(wtask); |
---|
527 | } finally { |
---|
528 | if (isInterrupted()) { |
---|
529 | System.err.println("Sub exp Interupted!"); |
---|
530 | } |
---|
531 | } |
---|
532 | } |
---|
533 | }; |
---|
534 | subTaskThread.setPriority(Thread.MIN_PRIORITY); |
---|
535 | subTaskThread.start(); |
---|
536 | } |
---|
537 | |
---|
538 | /** |
---|
539 | * Main method for testing this class |
---|
540 | * |
---|
541 | * @param args a <code>String[]</code> value |
---|
542 | */ |
---|
543 | public static void main (String [] args) { |
---|
544 | try { |
---|
545 | if (args.length < 8) { |
---|
546 | System.err.println("Usage : BoundaryPanelDistributed <dataset> " |
---|
547 | +"<class col> <xAtt> <yAtt> " |
---|
548 | +"<base> <# loc/pixel> <kernel bandwidth> " |
---|
549 | +"<display width> " |
---|
550 | +"<display height> <classifier " |
---|
551 | +"[classifier options]>"); |
---|
552 | System.exit(1); |
---|
553 | } |
---|
554 | |
---|
555 | Vector hostNames = new Vector(); |
---|
556 | // try loading hosts file |
---|
557 | try { |
---|
558 | BufferedReader br = new BufferedReader(new FileReader("hosts.vis")); |
---|
559 | String hostName = br.readLine(); |
---|
560 | while (hostName != null) { |
---|
561 | System.out.println("Adding host "+hostName); |
---|
562 | hostNames.add(hostName); |
---|
563 | hostName = br.readLine(); |
---|
564 | } |
---|
565 | br.close(); |
---|
566 | } catch (Exception ex) { |
---|
567 | System.err.println("No hosts.vis file - create this file in " |
---|
568 | +"the current directory with one host name " |
---|
569 | +"per line, or use BoundaryPanel instead."); |
---|
570 | System.exit(1); |
---|
571 | } |
---|
572 | |
---|
573 | final javax.swing.JFrame jf = |
---|
574 | new javax.swing.JFrame("Weka classification boundary visualizer"); |
---|
575 | jf.getContentPane().setLayout(new BorderLayout()); |
---|
576 | |
---|
577 | System.err.println("Loading instances from : "+args[0]); |
---|
578 | java.io.Reader r = new java.io.BufferedReader( |
---|
579 | new java.io.FileReader(args[0])); |
---|
580 | final Instances i = new Instances(r); |
---|
581 | i.setClassIndex(Integer.parseInt(args[1])); |
---|
582 | |
---|
583 | // bv.setClassifier(new Logistic()); |
---|
584 | final int xatt = Integer.parseInt(args[2]); |
---|
585 | final int yatt = Integer.parseInt(args[3]); |
---|
586 | int base = Integer.parseInt(args[4]); |
---|
587 | int loc = Integer.parseInt(args[5]); |
---|
588 | |
---|
589 | int bandWidth = Integer.parseInt(args[6]); |
---|
590 | int panelWidth = Integer.parseInt(args[7]); |
---|
591 | int panelHeight = Integer.parseInt(args[8]); |
---|
592 | |
---|
593 | final String classifierName = args[9]; |
---|
594 | final BoundaryPanelDistributed bv = |
---|
595 | new BoundaryPanelDistributed(panelWidth,panelHeight); |
---|
596 | bv.addRemoteExperimentListener(new RemoteExperimentListener() { |
---|
597 | public void remoteExperimentStatus(RemoteExperimentEvent e) { |
---|
598 | if (e.m_experimentFinished) { |
---|
599 | String classifierNameNew = |
---|
600 | classifierName.substring(classifierName.lastIndexOf('.')+1, |
---|
601 | classifierName.length()); |
---|
602 | bv.saveImage(classifierNameNew+"_"+i.relationName() |
---|
603 | +"_X"+xatt+"_Y"+yatt+".jpg"); |
---|
604 | } else { |
---|
605 | System.err.println(e.m_messageString); |
---|
606 | } |
---|
607 | } |
---|
608 | }); |
---|
609 | bv.setRemoteHosts(hostNames); |
---|
610 | |
---|
611 | jf.getContentPane().add(bv, BorderLayout.CENTER); |
---|
612 | jf.setSize(bv.getMinimumSize()); |
---|
613 | // jf.setSize(200,200); |
---|
614 | jf.addWindowListener(new java.awt.event.WindowAdapter() { |
---|
615 | public void windowClosing(java.awt.event.WindowEvent e) { |
---|
616 | jf.dispose(); |
---|
617 | System.exit(0); |
---|
618 | } |
---|
619 | }); |
---|
620 | |
---|
621 | jf.pack(); |
---|
622 | jf.setVisible(true); |
---|
623 | // bv.initialize(); |
---|
624 | bv.repaint(); |
---|
625 | |
---|
626 | |
---|
627 | String [] argsR = null; |
---|
628 | if (args.length > 10) { |
---|
629 | argsR = new String [args.length-10]; |
---|
630 | for (int j = 10; j < args.length; j++) { |
---|
631 | argsR[j-10] = args[j]; |
---|
632 | } |
---|
633 | } |
---|
634 | Classifier c = AbstractClassifier.forName(args[9], argsR); |
---|
635 | KDDataGenerator dataGen = new KDDataGenerator(); |
---|
636 | dataGen.setKernelBandwidth(bandWidth); |
---|
637 | bv.setDataGenerator(dataGen); |
---|
638 | bv.setNumSamplesPerRegion(loc); |
---|
639 | bv.setGeneratorSamplesBase(base); |
---|
640 | bv.setClassifier(c); |
---|
641 | bv.setTrainingData(i); |
---|
642 | bv.setXAttribute(xatt); |
---|
643 | bv.setYAttribute(yatt); |
---|
644 | |
---|
645 | try { |
---|
646 | // try and load a color map if one exists |
---|
647 | FileInputStream fis = new FileInputStream("colors.ser"); |
---|
648 | ObjectInputStream ois = new ObjectInputStream(fis); |
---|
649 | FastVector colors = (FastVector)ois.readObject(); |
---|
650 | bv.setColors(colors); |
---|
651 | } catch (Exception ex) { |
---|
652 | System.err.println("No color map file"); |
---|
653 | } |
---|
654 | bv.start(); |
---|
655 | } catch (Exception ex) { |
---|
656 | ex.printStackTrace(); |
---|
657 | } |
---|
658 | } |
---|
659 | } |
---|