Rouvier Mickael / Deft 2017 - Sentiment Analysis

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run_extract_test.sh 2.51 KB
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362b552ee   Rouvier Mickael   upload system 
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  for task in task1 task2 task3
  do
  
      for embedding in word2vecf wang2vec word2vec distant
      do
  
          for size in 100 200 300
          do
  
              for kfold in 0 1 2 3
              do
  
                  echo "$task $embedding $szei $kfold"
  
                  if [ -e model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123.h5 ]
                  then
  
                      if [ ! -e results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123.txt ]
                      then
  
                          #THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_train_${kfold}.tokenize model/cnn_${task}_${kfold}_${embedding}_size${size}_123 > results_train/cnn_${task}_${kfold}_${embedding}_size${size}_123.txt 
                          THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_test.tokenize model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123 > results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123.txt 
  
                      fi
                  fi
  
                  if [ -e model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_345.h5 ]
                  then
                      if [ ! -e results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_345.txt ]
                      then
  
                          #THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_train_${kfold}.tokenize model/cnn_${task}_${kfold}_${embedding}_size${size}_345 > results_train/cnn_${task}_${kfold}_${embedding}_size${size}_345.txt 
                          echo "oki"
                      fi
                  fi
  
                  if [ -e model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_567.h5 ]
                  then
                      if [ ! -e results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_567.txt ]
                      then
  
                          #THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_train_${kfold}.tokenize model/cnn_${task}_${kfold}_${embedding}_size${size}_567 > results_train/cnn_${task}_${kfold}_${embedding}_size${size}_567.txt 
                          echo "oki"
                      fi
                  fi
  
              done
  
          done
  
  
      done
  
  
  done