Ubuntu上でCaffeを使い、機械学習を実行しています。
学習が終わった際にLossとAccuracyのグラフを描画しています。
この時にCaffeに元から入っていた"plot_log.gnuplot.example"というファイルを元にグラフを作っています。
# These snippets serve only as basic examples. # Customization is a must. # You can copy, paste, edit them in whatever way you want. # Be warned that the fields in the training log may change in the future. # You had better check the data files before designing your own plots. # Please generate the necessary data files with # /path/to/caffe/tools/extra/parse_log.sh before plotting. # Example usage: # ./parse_log.sh mnist.log # Now you have mnist.log.train and mnist.log.test. # gnuplot mnist.gnuplot # The fields present in the data files that are usually proper to plot along # the y axis are test accuracy, test loss, training loss, and learning rate. # Those should plot along the x axis are training iterations and seconds. # Possible combinations: # 1. Test accuracy (test score 0) vs. training iterations / time; # 2. Test loss (test score 1) time; # 3. Training loss vs. training iterations / time; # 4. Learning rate vs. training iterations / time; # A rarer one: Training time vs. iterations. # What is the difference between plotting against iterations and time? # If the overhead in one iteration is too high, one algorithm might appear # to be faster in terms of progress per iteration and slower when measured # against time. And the reverse case is not entirely impossible. Thus, some # papers chose to only publish the more favorable type. It is your freedom # to decide what to plot. reset set terminal png set output "your_chart_name.png" set style data lines set key right ###### Fields in the data file your_log_name.log.train are ###### Iters Seconds TrainingLoss LearningRate # Training loss vs. training iterations #set title "Training loss vs. training iterations" #set xlabel "Training iterations" #set ylabel "Training loss" #plot "mnist.log.train" using 1:3 title "mnist" # Training loss vs. training time # plot "mnist.log.train" using 2:3 title "mnist" # Learning rate vs. training iterations; # plot "mnist.log.train" using 1:4 title "mnist" # Learning rate vs. training time; # plot "mnist.log.train" using 2:4 title "mnist" ###### Fields in the data file your_log_name.log.test are ###### Iters Seconds TestAccuracy TestLoss # Test loss vs. training iterations # plot "mnist.log.test" using 1:4 title "mnist" # Test accuracy vs. training iterations # plot "mnist.log.test" using 1:3 title "mnist" # Test loss vs. training time # plot "mnist.log.test" using 2:4 title "mnist" # Test accuracy vs. training time plot "mnist.log.test" using 2:3 title "mnist"
この時、.trainと.testというファイルから数値を取得してグラフを作っているのだと思うのですが、フォルダ内にあるこれらの拡張子を持つファイル名を順番に取得して、テキストファイルを更新していくにはどのようなコマンドで記述すればいいのでしょうか。
例えばフォルダ内に
aaa.train
aaa.test
bbb.train
bbb.test
ccc.train
ccc.test
という風にファイルがある時に、テキストファイル内の
plot "mnist.test" using 2:3 title "mnist"
"mnist"の部分を"aaa"に更新してgnuplotでグラフを書き、
その後に"aaa"を"bbb"、"bbb"を"ccc"に変えていきフォルダ内の全てのグラフを描画したいと思っています。
知識がないため、上手く説明ができていないかもしれませんが
ご教示よろしくお願いいたします。
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