text: #!/share/software/user/open/python/3.6.1/bin/python3
  from src.ModelDriver import *
  ## MODIFY THESE PARAMS FOR SPECIFIC RUN ###
  
  X_train = "/oak/stanford/groups/aboettig/Aparna/NNreviews/TestRobustness/jitterData/train_5.23.18_JitterRad-100.0_jitterPerc-1.0_xyz.txt"
  Y_train = "/oak/stanford/groups/aboettig/Aparna/NNproject/clean_data/train_5.23.18_unbalanced_unaugmented_rna_2.txt"
  X_dev = "/oak/stanford/groups/aboettig/Aparna/NNproject/clean_data/dev_5.23.18_unbalanced_unaugmented_xyz.txt"
  Y_dev = "/oak/stanford/groups/aboettig/Aparna/NNproject/clean_data/dev_5.23.18_unbalanced_unaugmented_rna_2.txt"
  X_test = "/oak/stanford/groups/aboettig/Aparna/NNproject/clean_data/test_5.23.18_unbalanced_unaugmented_xyz.txt"
  Y_test = "/oak/stanford/groups/aboettig/Aparna/NNproject/clean_data/test_5.23.18_unbalanced_unaugmented_rna_2.txt"
  
  version = 0
  specific_info = "ConvNet_AbdA_train_5.23.18_JitterRad-100.0_jitterPerc-1.0"
  architecture = "modelconv1"
  learning_rate = 0.00001
  weight_decay = 0.00002
  minibatch_size = 32
  num_epochs = 500
  tag = specific_info
  ## END OF PARAMS TO MODIFY ##
  
  PARAMETERS = {
  	"X_train" : X_train,
  	"Y_train" : Y_train,
  	"X_dev" : X_dev,
  	"Y_dev" : Y_dev,
  	"X_test" : X_test,
  	"Y_test" : Y_test,
  	"architecture" : architecture,
  	"learning_rate" : learning_rate,
  	"weight_decay" : weight_decay,
  	"num_epochs" : num_epochs,
  	"minibatch_size" : minibatch_size,
  	"tag" : tag,
  	"print_cost" : True
  }
  
  modelDriver = ModelDriver(PARAMETERS)
  #modelDriver.load()
  #modelDriver.init_model()
  #out = modelDriver.run_model()
  
  modelDriver.cross_validation()
  