def parse_args():
''' Parse cmd line arguments
'''
parser = argparse.ArgumentParser()
BNPYArgParser.addRequiredVizArgsToParser(parser)
BNPYArgParser.addStandardVizArgsToParser(parser)
parser.add_argument('--lap', default=None, type=float,
help="Specific lap at which to plot parameters." \
+ " If exact lap not available, instead plots nearest lap.")
parser.add_argument('--doPlotData', action='store_true', default=False,
help="If present, also plot training data.")
parser.add_argument('--doPlotTruth', action='store_true', default=False,
help="If present, also plot true model params that generated data.")
parser.add_argument('--doSort', action='store_true', default=False,
help="If present, sort parameters by global appearance probabilities.")
args = parser.parse_args()
return args
def parse_args():
''' Returns Namespace of parsed arguments retrieved from command line
'''
parser = argparse.ArgumentParser()
BNPYArgParser.addRequiredVizArgsToParser(parser)
BNPYArgParser.addStandardVizArgsToParser(parser)
parser.add_argument('--xvar', type=str, default='laps',
help="name of x axis variable to plot. one of {iters,laps,times}")
parser.add_argument('--traceEvery', type=str, default=None,
help="Specifies how often to plot data points. For example, traceEvery=10 only plots data points associated with laps divisible by 10.")
parser.add_argument('--legendnames', type=str, default=None,
help="optional names to show on legend in place of jobnames")
args = parser.parse_args()
args.algNames = args.algNames.split(',')
args.jobnames = args.jobnames.split(',')
if args.legendnames is not None:
args.legendnames = args.legendnames.split(',')
#assert len(args.legendnames) == len(args.jobnames) * len(args.algNames)
return args
