1 | %SCRIPT_CORREC correction |
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2 | |
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3 | %+ |
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4 | % module |
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5 | % ====== |
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6 | % |
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7 | % correction du TP |
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8 | % |
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9 | % |
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10 | % DESCRIPTION |
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11 | % =========== |
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12 | % |
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13 | % ++ |
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14 | % |
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15 | % ``script_correc`` plot ans save several figures : |
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16 | % |
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17 | % - ``script_correc_thetas.eps`` : |
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18 | % |
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19 | % figure:: script_correc_thetas.eps |
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20 | % :scale: 50 % |
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21 | % :alt: script_correc_thetas.eps |
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22 | % |
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23 | % This is the caption of the figure (a simple paragraph). |
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24 | % |
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25 | % The legend consists of all elements after the caption. In this |
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26 | % case, the legend consists of this paragraph and the following |
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27 | % table: |
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28 | |
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29 | % |
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30 | % - ``script_correc_thetav.eps`` : |
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31 | % |
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32 | % - ``script_correc_dphi.eps`` : |
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33 | % |
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34 | % - ``script_correc_rho_670_.eps`` : |
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35 | % |
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36 | % - ``script_correc_rho_765_.eps`` : |
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37 | % |
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38 | % - ``script_correc_rho_865_.eps`` : |
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39 | % |
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40 | % - ``script_correc_tau.eps`` : |
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41 | % |
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42 | % - ``script_correc_diagramme_dispersion.eps`` : |
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43 | % |
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44 | % - ``script_correc_histogramme_erreur.eps`` : |
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45 | % |
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46 | % If ``fid_log`` is not set, log informations are printed on stdout. |
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47 | % |
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48 | % If ``fid_log`` set previous launching ``script_correc`` to more than 1, |
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49 | % log informations are saved in ``script_correc.log``. |
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50 | % |
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51 | % EXAMPLES |
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52 | % ======== |
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53 | % |
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54 | % To run and see log informations on screen : |
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55 | % |
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56 | % :: |
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57 | % |
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58 | % >> addpath('../toolbox') |
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59 | % >> tp_mlp_aerosols_startup |
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60 | % >> more off |
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61 | % >> script_correc |
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62 | % |
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63 | % To run and save log informations in ``script_correc.log`` : |
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64 | % |
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65 | % :: |
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66 | % |
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67 | % >> addpath('../toolbox') |
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68 | % >> tp_mlp_aerosols_startup |
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69 | % >> fid_log = 6; |
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70 | % >> more off |
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71 | % >> script_correc |
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72 | % |
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73 | % |
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74 | % SEE ALSO |
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75 | % ======== |
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76 | % |
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77 | % tp_mlp_aerosols_startup.m_ |
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78 | % |
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79 | % .. _tp_mlp_aerosols_startup.m : tp_mlp_aerosols_startup.m.html |
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80 | % |
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81 | % intersect_octave.m_ |
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82 | % |
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83 | % .. _intersect_octave.m : intersect_octave.m.html |
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84 | % |
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85 | % script_app.m_ |
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86 | % |
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87 | % .. _script_app.m : script_app.m.html |
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88 | % |
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89 | % TODO |
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90 | % ==== |
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91 | % |
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92 | % improve description |
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93 | % |
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94 | % avoid overriding existing output files |
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95 | % |
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96 | % make it launchable from everywhere (path and IO directories) |
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97 | % |
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98 | % Running octave, ``more off`` is compulsary but I don't not yet why |
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99 | % |
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100 | % save output (stderr) to make comparisons possible |
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101 | % |
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102 | % If printer is set to png, one might see following warning using octave : |
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103 | % .. |
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104 | % |
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105 | % gdImageStringFT: Could not find/open font while printing string ... with font Helvetica |
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106 | % |
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107 | % And no labels are visible on figure outputfiles. |
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108 | % |
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109 | % For now, find a portable solution (setting GDFONTPATH) is too tough, so |
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110 | % printer is set to eps. |
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111 | % |
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112 | % EVOLUTIONS |
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113 | % ========== |
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114 | % |
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115 | % $Id$ |
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116 | % |
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117 | % - fplod 2009-08-18T14:21:33Z aedon.locean-ipsl.upmc.fr (Darwin) |
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118 | % |
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119 | % * log information either on screen (stdout) or in ``script_correc.log`` |
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120 | % |
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121 | % - fplod 2009-08-18T09:55:12Z aedon.locean-ipsl.upmc.fr (Darwin) |
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122 | % |
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123 | % * save figures to make comparisons possible |
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124 | % * replace error on suptitle using octave by a warning |
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125 | % |
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126 | % - fplod 2009-08-17T12:39:51Z aedon.locean-ipsl.upmc.fr (Darwin) |
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127 | % |
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128 | % * add header |
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129 | % * add octave intersect_octave |
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130 | % * add octave suptitle_octave |
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131 | % |
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132 | %- |
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133 | |
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134 | |
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135 | |
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136 | %Ajout du path |
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137 | addpath ('../toolbox'); |
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138 | |
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139 | |
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140 | %% QUESTION 1 |
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141 | %NOTE : C'est la partie du TP à modifier car il y a trop de choses à coder. |
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142 | |
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143 | if ~exist('LUT_NIR','var') |
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144 | load('../LUT/LUT_NIR.dat'); |
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145 | end |
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146 | |
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147 | %indices pour chacune des longeurs d'onde |
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148 | i670=find(LUT_NIR(:,6)==670); |
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149 | i765=find(LUT_NIR(:,6)==765); |
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150 | i865=find(LUT_NIR(:,6)==865); |
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151 | |
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152 | %fusion 670nm avec 765nm |
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153 | if (run_octave == 0) |
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154 | [parambase,I1,I2]=intersect(LUT_NIR(i670,[1:5]),LUT_NIR(i765,[1:5]),'rows'); |
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155 | else |
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156 | [parambase,I1,I2]=intersect_octave(LUT_NIR(i670,[1:5]),LUT_NIR(i765,[1:5]),'rows'); |
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157 | end |
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158 | base=[parambase LUT_NIR(i670(I1),7) LUT_NIR(i765(I2),7)]; |
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159 | |
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160 | %fusion de base avec 670nm avec base |
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161 | if (run_octave == 0) |
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162 | [parambase,I1,I2]=intersect(base(:,[1:5]),LUT_NIR(i865,[1:5]),'rows'); |
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163 | else |
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164 | [parambase,I1,I2]=intersect_octave(base(:,[1:5]),LUT_NIR(i865,[1:5]),'rows'); |
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165 | end |
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166 | |
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167 | %base=[thetas,thetav,dphi,Rho_aer(670),Rho_aer(765),Rho_aer(865) tau] |
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168 | base=[base(I1,[3:5 6:7]) LUT_NIR(i865(I2),7) base(I1,2)]; |
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169 | base_mix=mix_base(base); %%%%ALEA |
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170 | |
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171 | clear i670 i765 i865 base parambase; |
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172 | |
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173 | %% QUESTION 2 |
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174 | N=size(base_mix,1); |
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175 | base_app=base_mix(1:round(0.02*N),:); |
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176 | base_val=base_mix(round(0.8*N)+1:round(0.82*N),:); |
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177 | base_test=base_mix(round(0.98*N)+1:end,:); |
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178 | |
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179 | %% QUESTION 3 : rien a faire |
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180 | |
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181 | %% QUESTION 4 |
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182 | moy=mean(base_app); |
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183 | et=std(base_app); |
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184 | |
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185 | base_app_n=cenred(base_app,moy,et); |
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186 | base_val_n=cenred(base_val,moy,et); |
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187 | base_test_n=cenred(base_test,moy,et); |
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188 | |
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189 | |
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190 | stitle={'Thetas','Thetav','dphi','Rho(670)','Rho(765)','Rho(865)','Tau'}; |
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191 | for j=1:size(base_mix,2) |
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192 | figure(j) |
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193 | clf |
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194 | |
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195 | subplot(3,2,1) |
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196 | hist(base_app(:,j),20); |
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197 | title('App denorm'); |
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198 | |
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199 | subplot(3,2,2) |
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200 | hist(base_app_n(:,j),20); |
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201 | title('App norm'); |
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202 | |
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203 | subplot(3,2,3) |
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204 | hist(base_val(:,j),20); |
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205 | title('Val denorm'); |
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206 | |
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207 | subplot(3,2,4) |
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208 | hist(base_val_n(:,j),20); |
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209 | title('Val norm'); |
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210 | |
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211 | subplot(3,2,5) |
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212 | hist(base_test(:,j),20); |
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213 | title('Test denorm'); |
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214 | |
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215 | subplot(3,2,6) |
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216 | hist(base_test_n(:,j),20); |
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217 | title('Test norm'); |
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218 | |
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219 | if (run_octave == 0) |
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220 | suptitle(stitle{j}); |
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221 | else |
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222 | warning('www : octave can not write supertitle'); |
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223 | end |
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224 | |
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225 | % save figure(j) |
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226 | printer='eps'; |
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227 | print_printer=['-d', printer]; |
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228 | % figure name is based on stitle{j}. |
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229 | % transformation is lower and replace ( and ) by _ |
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230 | if (run_octave == 0) |
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231 | figname=regexprep(lower(stitle{j}), '(', '_'); |
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232 | else |
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233 | figname=regexprep(lower(stitle{j}), '\(', '_'); |
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234 | end |
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235 | if (run_octave == 0) |
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236 | figname=regexprep(figname, ')', '_'); |
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237 | else |
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238 | figname=regexprep(figname, '\)', '_'); |
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239 | end |
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240 | fullfilename=['./', mfilename, '_', figname , '.', printer]; |
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241 | clear figname; |
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242 | clear printer; |
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243 | print(print_printer,fullfilename); |
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244 | clear print_printer; |
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245 | clear fullfilename; |
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246 | |
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247 | end |
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248 | |
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249 | %QUESTION 5 |
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250 | script_app |
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251 | |
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252 | % définition du fichier de sortie "Affichage" |
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253 | % if not set, fid_log is set to 1 (stdout) |
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254 | if ~ exist('fid_log','var') |
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255 | fid_log = 1; |
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256 | end |
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257 | |
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258 | % ouverture du fichier de sortie "Affichage" si différent de stdout |
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259 | fid_log_is_stdout = isequal(fid_log,1); |
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260 | |
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261 | if fid_log_is_stdout == 0 |
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262 | fullfilename = ['./', mfilename, '.log']; |
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263 | fid_log = fopen(fullfilename,'w'); |
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264 | clear fullfilename; |
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265 | end |
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266 | |
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267 | %Affichage du tableau des performances |
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268 | fprintf(fid_log,'\n\t\tInit1\t\tInit2\n'); |
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269 | for n=1:length(archi) |
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270 | fprintf(fid_log,'%d neurones\t%3.2e\t%3.2e\n',archi(n),perf(n,1),perf(n,2)); |
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271 | end |
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272 | |
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273 | |
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274 | %On determine l'architecture optimale |
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275 | mini=min(perf(:)); |
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276 | [n,i]=find(perf==mini); |
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277 | fprintf(fid_log,'\n Architecture optimale : %d neurones (RMS=%3.2e)\n',archi(n),perf(n,i)); |
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278 | |
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279 | %FACULTATIF : On prolonge l'apprentissage avec une base plus grosse |
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280 | base_app=base_mix(1:round(0.1*N),:); |
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281 | %Apprentissage du rseau |
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282 | [nets(n,i).W1 nets(n,i).W2]=MLPfit(base_val_n(:,1:end-1),base_val_n(:,end),base_app_n(:,1:end-1), ... |
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283 | base_app_n(:,end),nets(n,i).W1,nets(n,i).W2,'tah','lin',[1500,1e-6],[100,1]); |
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284 | |
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285 | |
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286 | %QUESTION 6 |
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287 | |
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288 | %Restitution du reseau |
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289 | tau_nn=MLPval(base_val_n(:,1:end-1),nets(n,i).W1,nets(n,i).W2); |
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290 | |
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291 | %Performance du reseau |
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292 | delta=decenred(tau_nn,moy(end),et(end)) - decenred(base_val_n(:,end),moy(end),et(end)); |
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293 | perf_opti=sqrt((1./length(delta))*sum(delta.^2)); |
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294 | |
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295 | fprintf(fid_log,'\nRMS finale : %3.2e\n',perf_opti); |
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296 | |
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297 | % fermeture du ficher de sortie "Affichage" si différent de stdout |
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298 | if fid_log_is_stdout == 0 |
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299 | fclose(fid_log); |
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300 | end |
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301 | clear fid_log_is_stdout; |
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302 | |
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303 | figure |
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304 | plot(decenred(base_val_n(:,end),moy(end),et(end)),decenred(tau_nn,moy(end),et(end)),'.'); |
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305 | hold on |
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306 | plot([0 0.5],[0 0.5],'-k'); |
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307 | title('Diagramme de dispersion') |
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308 | xlabel('TAU(vrai)') |
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309 | ylabel('TAU(estime)'); |
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310 | |
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311 | % save figure |
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312 | printer='eps'; |
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313 | print_printer=['-d', printer]; |
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314 | fullfilename=['./', mfilename, '_diagramme_dispersion', '.', printer]; |
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315 | clear printer; |
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316 | print(print_printer,fullfilename); |
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317 | clear print_printer; |
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318 | clear fullfilename; |
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319 | |
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320 | figure |
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321 | hist(delta,50); |
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322 | xlabel('TAU(estime)-TAU(vrai)'); |
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323 | ylabel('Nombre'); |
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324 | |
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325 | % save figure |
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326 | printer='eps'; |
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327 | print_printer=['-d', printer]; |
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328 | fullfilename=['./', mfilename, '_histogramme_erreur', '.', printer]; |
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329 | clear printer; |
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330 | print(print_printer,fullfilename); |
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331 | clear print_printer; |
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332 | clear fullfilename; |
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