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/NNproject/clean_data/train_5.23.18_unbalanced_unaugmented_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"
  
  version = 0
  specific_info = "hyperparam_search"
  architecture = "model1"
  learning_rate = 5e-05
  weight_decay = 0.0001
  minibatch_size = 32
  num_epochs = 1000
  tag = architecture + "-" + str(version) + "_learn_" + str(learning_rate) + "_weight_decay_" + str(weight_decay) + "_minibatch_" + str(minibatch_size) + "_epochs_" + str(num_epochs) + "_" + specific_info
  ## END OF PARAMS TO MODIFY ##
  
  PARAMETERS = {
  	"X_train" : X_train,
  	"Y_train" : Y_train,
  	"X_dev" : X_dev,
  	"Y_dev" : Y_dev,
  	"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()
  