old_contents: import sys
  import json
  
  sys.path.extend(['.','..','py'])
  import h2o, h2o_cmd, h2o_import as h2i
  
  
  #
  # This is intended to be the simplest possible RF example.
  # Look at sandbox/commands.log for REST API requests to H2O.
  #
  
  
  print "--------------------------------------------------------------------------------"
  print "BUILDING CLOUD"
  print "--------------------------------------------------------------------------------"
  
  h2o.parse_our_args()
  h2o.build_cloud(node_count=2, java_heap_GB=2)
  
  # False == Use VA form of algorithms (when available) (e.g. RF1).
  # True == Use FVec form of algorithm (e.g. DRF2).
  h2o.beta_features = False
  
  
  print "--------------------------------------------------------------------------------"
  print "PARSING DATASET"
  print "--------------------------------------------------------------------------------"
  
  #
  # What this really ends up doing is a REST API PostFile.json request.
  #
  csvPathname = 'iris/iris2.csv'
  parseResult = h2i.import_parse(bucket='smalldata', path=csvPathname, schema='put')
  
  print "--------------------------------------------------------------------------------"
  print "RUNNING RF"
  print "--------------------------------------------------------------------------------"
  
  #
  # For valid kwargs, look at h2o.py random_forest() params_dict variable.
  # beta_features==False means Value Array (e.g. RF1).
  # beta_features==True means Fluid Vec (e.g. DRF2).
  #
  timeoutSecs = 20
  if (h2o.beta_features):
      kwargs = {"ntrees": 6}
  else:
      kwargs = {"ntree": 6}
  
  rf_json_response = h2o_cmd.runRF(parseResult=parseResult, timeoutSecs=timeoutSecs, **kwargs)
  print json.dumps(rf_json_response, indent=4)
  
  print "--------------------------------------------------------------------------------"
  print "SHUTTING DOWN"
  print "--------------------------------------------------------------------------------"
  h2o.check_sandbox_for_errors()
  h2o.tear_down_cloud()
  
new_contents: import sys
  import json
  
  sys.path.extend(['.','..','py'])
  import h2o, h2o_cmd, h2o_import as h2i
  
  
  #
  # This is intended to be the simplest possible RF example.
  # Look at sandbox/commands.log for REST API requests to H2O.
  #
  
  
  print "--------------------------------------------------------------------------------"
  print "BUILDING CLOUD"
  print "--------------------------------------------------------------------------------"
  
  h2o.parse_our_args()
  h2o.build_cloud(node_count=2, java_heap_GB=2)
  
  # False == Use VA form of algorithms (when available) (e.g. RF1).
  # True == Use FVec form of algorithm (e.g. DRF2).
  h2o.beta_features = True
  
  
  print "--------------------------------------------------------------------------------"
  print "PARSING DATASET"
  print "--------------------------------------------------------------------------------"
  
  #
  # What this really ends up doing is a REST API PostFile.json request.
  #
  csvPathname = 'iris/iris2.csv'
  parseResult = h2i.import_parse(bucket='smalldata', path=csvPathname, schema='put')
  
  print "--------------------------------------------------------------------------------"
  print "RUNNING RF"
  print "--------------------------------------------------------------------------------"
  
  #
  # For valid kwargs, look at h2o.py random_forest() params_dict variable.
  # beta_features==False means Value Array (e.g. RF1).
  # beta_features==True means Fluid Vec (e.g. DRF2).
  #
  timeoutSecs = 20
  if (h2o.beta_features):
      kwargs = {"ntrees": 6}
  else:
      kwargs = {"ntree": 6}
  
  rf_json_response = h2o_cmd.runRF(parseResult=parseResult, timeoutSecs=timeoutSecs, **kwargs)
  print json.dumps(rf_json_response, indent=4)
  
  print "--------------------------------------------------------------------------------"
  print "SHUTTING DOWN"
  print "--------------------------------------------------------------------------------"
  h2o.check_sandbox_for_errors()
  h2o.tear_down_cloud()
  
subject: Set beta_features to True.