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