def get_options():
global options
parser = lp.prediction_options()
parser = lp.ga_options(parser)
parser = lp.data_options(parser)
parser.add_option("--model",
dest="model",
help="The model class that the genomes instantiate",
default=None)
parser.add_option(
"--test-set",
dest="test_set",
action="store_true",
help=
"Test the genomes on the test set, rather than on the training set",
default=False)
parser.add_option("--plot",
dest="plot",
action="store_true",
help="Make a plot (in combination with --test-set)",
default=False)
(options, args) = parser.parse_args()
lp.options = options
if options.model is None:
print >> sys.stderr, "Model argument is required."
sys.exit(1)
def get_options():
global options
parser = lp.prediction_options()
parser = lp.ga_options(parser)
parser = lp.data_options(parser)
parser.add_option("--model", dest="model", help="The model class that the genomes instantiate", default=None)
parser.add_option("--test-set", dest="test_set", action="store_true",
help="Test the genomes on the test set, rather than on the training set", default=False)
parser.add_option("--plot", dest="plot", action="store_true",
help="Make a plot (in combination with --test-set)", default=False)
(options, args) = parser.parse_args()
lp.options = options
if options.model is None:
print >>sys.stderr, "Model argument is required."
sys.exit(1)
cmdline = cmdline_base + \
['--remove-holidays',
'--data-seed=0',
'--bc-data',
'--standardize',
'--difference=1',
'--subtract-weekly-pattern']
cmdline = cmdline_base + \
['--data-seed=15',
'--gef-data',
'--subtract-weekly-pattern']
parser = lp.prediction_options()
parser = lp.ga_options(parser)
parser = lp.data_options(parser)
options, _ = parser.parse_args(cmdline)
lp.options = options
def reseed(seed=None):
if seed is None:
seed = options.seed
random.seed(seed)
np.random.seed(seed)
reseed()
def new_model():
model_creator = model_creator_class(options)
