def runExperiment(experimentDirectory, experimentOptions):
o = experimentOptions
# Clean aggregation datasets if needed
#if o['clearAggregationDatasets']:
#helpers.cleanAggregationDatasets()
global experiment
experiment = Experiment(path=experimentDirectory, runtimeOptions=experimentOptions)
# Create GUIs as needed
if not experimentOptions['postProcessOnly']:
if o['runGUI']:
# Only import these if the gui is requested, because
# they import further modules that require a console
# and exit if there is no console (as in the autobuild)
from nupic.frameworks.prediction.GUIs import TrainingGUI, InferenceGUI
if not (o['createNetworkOnly'] or o['runInferenceOnly']):
gui.append(TrainingGUI(experiment))
gui.append(InferenceGUI(experiment))
for i, g in enumerate(gui):
g.start()
else:
experiment.run()
if experimentOptions['postProcess']:
from nupic.frameworks.prediction.postprocess import postProcess
try:
postProcess(experiment)
experiment.writeResults()
if os.environ.has_key('NTA_AMAZON_SYNC_DATA'):
print "Deleting log files"
inferenceDir = os.path.join(experimentDirectory,"inference")
logFiles = glob.glob(os.path.join(inferenceDir,"*.txt"))
for f in logFiles:
try:
os.remove(f)
except:
print "Couldn't remove log file:",f
except Exception, e:
message = "Post processing has failed, %s" % str(e.args)
e.args = (message,) +e.args[1:]
#traceback.print_exc(file=sys.stdout)
raise
def runExperiment(experimentDirectory, experimentOptions):
o = experimentOptions
# Clean aggregation datasets if needed
#if o['clearAggregationDatasets']:
#helpers.cleanAggregationDatasets()
global experiment
experiment = Experiment(path=experimentDirectory,
runtimeOptions=experimentOptions)
# Create GUIs as needed
if not experimentOptions['postProcessOnly']:
if o['runGUI']:
# Only import these if the gui is requested, because
# they import further modules that require a console
# and exit if there is no console (as in the autobuild)
from nupic.frameworks.prediction.GUIs import TrainingGUI, InferenceGUI
if not (o['createNetworkOnly'] or o['runInferenceOnly']):
gui.append(TrainingGUI(experiment))
gui.append(InferenceGUI(experiment))
for i, g in enumerate(gui):
g.start()
else:
experiment.run()
if experimentOptions['postProcess']:
from nupic.frameworks.prediction.postprocess import postProcess
try:
postProcess(experiment)
experiment.writeResults()
if os.environ.has_key('NTA_AMAZON_SYNC_DATA'):
print "Deleting log files"
inferenceDir = os.path.join(experimentDirectory, "inference")
logFiles = glob.glob(os.path.join(inferenceDir, "*.txt"))
for f in logFiles:
try:
os.remove(f)
except:
print "Couldn't remove log file:", f
except Exception, e:
message = "Post processing has failed, %s" % str(e.args)
e.args = (message, ) + e.args[1:]
#traceback.print_exc(file=sys.stdout)
raise
