old_contents: import os
  
  import sys
  from sklearn.model_selection import ParameterGrid
  from topoml_util.slack_send import notify
  
  SCRIPT_VERSION = '0.0.4'
  N_TIMES = 6
  
  HYPERPARAMS = {
      'BATCH_SIZE': [512],
      # 'REPEAT_DEEP_ARCH': [0, 1],
      'LSTM_SIZE': [64],
      # 'DENSE_SIZE': [64],
      # 'EPOCHS': [200],
      # 'LEARNING_RATE': [1e-3, 3e-4, 1e-4],
      # 'GEOM_SCALE': [1e0, 1e-1, 1e-2, 1e-3],
      'RECURRENT_DROPOUT': [0.],
      # 'PATIENCE': [8, 16, 24, 32, 40],
  }
  grid = list(ParameterGrid(HYPERPARAMS))
  
  scripts = [
      'neighborhood_inhabitants.py',
      'building_type.py',
      'archaeological_features.py'
  ]
  
  for configuration in grid:
      envs = []
      # Set environment variables (this allows you to do hyperparam searches from any scripting environment)
      for key, value in configuration.items():
          os.environ[key] = str(value)
  
      # repeat to get a sense of results spread
      for _ in range(N_TIMES):
          for script in scripts:
              r_code = os.system('python3 {}'.format(script))
              if not r_code == 0:
                  print('{} exited with error'.format(script))
                  notify('{} grid search'.format(script), 'with error')
                  sys.exit(1)
  
  notify('All grid search', 'no errors')
  print('All grid search', 'finished successfully')
  
new_contents: import os
  
  import sys
  from sklearn.model_selection import ParameterGrid
  from topoml_util.slack_send import notify
  
  SCRIPT_VERSION = '0.0.5'
  N_TIMES = 10
  
  HYPERPARAMS = {
      'BATCH_SIZE': [512],
      # 'REPEAT_DEEP_ARCH': [0, 1],
      'LSTM_SIZE': [64],
      # 'DENSE_SIZE': [64],
      # 'EPOCHS': [200],
      # 'LEARNING_RATE': [1e-3, 3e-4, 1e-4],
      # 'GEOM_SCALE': [1e0, 1e-1, 1e-2, 1e-3],
      'RECURRENT_DROPOUT': [0.1],
      # 'PATIENCE': [8, 16, 24, 32, 40],
  }
  grid = list(ParameterGrid(HYPERPARAMS))
  
  scripts = [
      'neighborhood_inhabitants.py',
      'building_type.py',
      'archaeological_features.py'
  ]
  
  for configuration in grid:
      envs = []
      # Set environment variables (this allows you to do hyperparam searches from any scripting environment)
      for key, value in configuration.items():
          os.environ[key] = str(value)
  
      # repeat to get a sense of results spread
      for _ in range(N_TIMES):
          for script in scripts:
              r_code = os.system('python3 {}'.format(script))
              if not r_code == 0:
                  print('{} exited with error'.format(script))
                  notify('{} grid search'.format(script), 'with error')
                  sys.exit(1)
  
  notify('All grid search', 'no errors')
  print('All grid search', 'finished successfully')
  
subject: drop recurrent dropout