My run_model function

def runModel(file_list, plot=False):
  for file1 in file_list:
    save = False
    file_name = os.path.splitext(file1)[0]
    path = '/home/sheiser1/nupic/examples/opf/clients/hotgym/anomaly/one_gym$' + file_name
    model = None
    if os.path.exists(path):
      model = Model.load(path)
    else:
      model = createModel(getModelParamsFromName(GYM_NAME))
      save = True

    print "Creating model from %s..." % file_name
    inputData = "%s/%s.csv" % (DATA_DIR, file_name.replace(" ", "_"))
    runIoThroughNupic(inputData, model, file_name, plot)
    if save:
      model.save(path)

    for file2 in file_list:
      file2_name = os.path.splitext(file2)[0]
      model.disableLearning()
      print "Running model: " + file_name + ' on: ' + file2_name
      inputData = "%s/%s.csv" % (DATA_DIR, file2_name.replace(" ", "_"))
      runIoThroughNupic(inputData, model, file2_name, plot)
      os.rename(file2_name + '_out.csv', file_name + '_' + file2_name + '_out.csv')