def get_optparser():
dataset_options = ''
for k in sorted(datasets.keys()):
dataset_options += (" %s - %s \n" % (k, datasets[k].__name__))
usage = ("usage: %prog <DATASET> <DATASET_PATH>\n\n"
"DATASET is an integer corresponding to the following supported "
"datasets:\n" + dataset_options
)
parser = optparse.OptionParser(usage=usage)
hp_algo_default = hp_algos['default']
hp_algos.pop('default', None)
hp_algo_opts = ' OPTIONS=%s' % (hp_algos.keys())
learn_algo_default = learning_algos['default']
learning_algos.pop('default', None)
learn_algo_opts = ' OPTIONS=%s' % (learning_algos.keys())
opt_modes_str = ' OPTIONS=%s' % (opt_modes)
parser.add_option("--opt_mode", "-M",
default=opt_modes[0],
type="str",
metavar="STR",
help="[DEFAULT='%default']" + opt_modes_str)
parser.add_option("--output_path", "-O",
default=None,
type="str",
metavar="STR",
help=("Required when opt_mode='serial' "
"[DEFAULT='%default']"))
parser.add_option("--hp_space", "-S",
default='default',
type="str",
metavar="STR",
help="[DEFAULT='%default']")
parser.add_option("--hyperopt_algo", "-H",
default=hp_algo_default,
type="str",
metavar="STR",
help="[DEFAULT='%default']" + hp_algo_opts)
parser.add_option("--learning_algo", "-A",
default=learn_algo_default,
type="str",
metavar="STR",
help="[DEFAULT='%default']" + learn_algo_opts)
parser.add_option("--n_startup_trials", "-T",
default=n_startup_trials,
type="int",
metavar="INT",
help="[DEFAULT='%default']")
parser.add_option("--n_ok_trials", "-N",
default=n_ok_trials,
type="int",
metavar="INT",
help="[DEFAULT='%default']")
parser.add_option("--host", "-W",
default='localhost',
type="str",
metavar="STR",
help=("Only considered when optimization mode='async' "
"[DEFAULT='%default']"))
parser.add_option("--port", "-P",
default=10921,
type="int",
metavar="INT",
help=("Only considered when optimization mode='async' "
"[DEFAULT='%default']"))
return parser
def get_optparser():
dataset_options = ''
for k in sorted(datasets.keys()):
dataset_options += (" %s - %s \n" % (k, datasets[k].__name__))
usage = ("usage: %prog <DATASET> <DATASET_PATH>\n\n"
"+ DATASET is an integer corresponding to the following supported "
"datasets:\n" + dataset_options + '\n'
"+ HP_FNAME is the pkl file containing the result of a previous "
"hyperparameter optimization."
)
parser = optparse.OptionParser(usage=usage)
learn_algo_default = learning_algos['default']
learning_algos.pop('default', None)
learn_algo_opts = ' OPTIONS=%s' % (learning_algos.keys())
parser.add_option("--hp_fname", "-F",
default=None,
type="str",
metavar="STR",
help=("Pickle file created by optimization in serial"
"mode. [DEFAULT='%default']"
)
)
parser.add_option("--host", "-H",
default=None,
type="str",
metavar="STR",
help=("Host serving MongoDB database created by "
"optimization running in asynchronous, parallel "
"mode. [DEFAULT='%default']"
)
)
parser.add_option("--port", "-P",
default=10921,
type="int",
metavar="INT",
help=("MongoDB port at host serving the database. "
"[DEFAULT='%default']"
)
)
parser.add_option("--learning_algo", "-A",
default=learn_algo_default,
type="str",
metavar="STR",
help="[DEFAULT='%default']" + learn_algo_opts)
parser.add_option("--int_samples", "-S",
default=False,
action="store_true",
help="output interesting misses and hits in current " \
"path [DEFAULT='%default']")
return parser