def run(args):
start = time.time()
root = os.path.dirname(os.path.realpath(__file__))
resultsDir = os.path.join(root, args.resultsDir)
runner = Runner(dataPath=args.dataPath,
resultsDir=resultsDir,
experimentName=args.experimentName,
load=args.load,
modelName=args.modelName,
modelModuleName=args.modelModuleName,
numClasses=args.numClasses,
plots=args.plots,
orderedSplit=args.orderedSplit,
trainSize=args.trainSize,
verbosity=args.verbosity)
runner.initModel()
print "Reading in data and preprocessing."
dataTime = time.time()
runner.setupData()
print ("Data setup complete; elapsed time is {0:.2f} seconds.\nNow encoding "
"the data".format(time.time() - dataTime))
encodeTime = time.time()
runner.encodeSamples()
print ("Encoding complete; elapsed time is {0:.2f} seconds.\nNow running the "
"experiment.".format(time.time() - encodeTime))
runner.runExperiment()
runner.calculateResults()
runner.save()
print "Experiment complete in {0:.2f} seconds.".format(time.time() - start)
if args.validation:
print "Validating experiment against expected classifications..."
print runner.validateExperiment(args.validation)
