run.sh

#
#  First we must run the program with the -setupMode flag
#  The program should be run with this flag ONLY ONCE for each dataset
#  This reads the dataset, splits it into training and testing-sets
#  and saves the dataset metadata to a file
#
th  DetectMalware_CNN.lua -useCUDA -gpuid 1 -programLen 8192 -nConvFilters 64   -nEpochs 75 -nSamplingEpochs 5 -nConvLayers 1 -seed 1 -learningRate 1e-3 -nEmbeddingDims 8 -kernelLength 8 -saveModel -saveFileName model_tmp -dataDir ./dataset/ -metaDataFile ./config/metaData_small_test.th7 -maxSequenceLength 8192 -setupMode
#
#
#  Below is the code to train a network
#  This uses the metadata file above so that we can reproduce our results
#
th  DetectMalware_CNN.lua -useCUDA -gpuid 1 -programLen 8192 -nConvFilters 64   -nEpochs 75 -nSamplingEpochs 5 -nConvLayers 1 -seed 1 -learningRate 1e-3 -nEmbeddingDims 8 -kernelLength 8 -saveModel -saveFileName model_tmp -dataDir ./dataset/ -metaDataFile ./config/metaData_small_test.th7 -maxSequenceLength 8192
#
#
#  Below is the code to test a pre-trained network
#  This should only be run ONCE after setting hyper-parameters using the validation-set
#
th testWithPreTrainedNetwork.lua -useCUDA -dataDir ./dataset -modelPath ./trainedNets/model_tmp.th7