def main():
usage = "%prog [options] <old_name> <new_name>"
description = "Changes the name of a trained Raphsto model"
parser = OptionParser(usage=usage, description=description)
options, arguments = parser.parse_args()
if len(arguments) < 2:
print "You must specify a model name and a new name"
sys.exit(1)
model_name = arguments[0]
new_name = arguments[1]
# Check the model exists
try:
model = RaphstoHmm.load_model(model_name)
except RaphstoModelLoadError:
print "Could not load model %s" % model_name
sys.exit(1)
# Change the name of this model and resave it
model.model_name = new_name
model.save()
# Load up the old model again and delete it
model = RaphstoHmm.load_model(model_name)
model.delete()
print "Renamed model %s to %s" % (model_name, new_name)
def main():
usage = "%prog [options] <old_name> <new_name>"
description = "Changes the name of a trained Raphsto model"
parser = OptionParser(usage=usage, description=description)
options, arguments = parser.parse_args()
if len(arguments) < 2:
print "You must specify a model name and a new name"
sys.exit(1)
model_name = arguments[0]
new_name = arguments[1]
# Check the model exists
try:
model = RaphstoHmm.load_model(model_name)
except RaphstoModelLoadError:
print "Could not load model %s" % model_name
sys.exit(1)
# Change the name of this model and resave it
model.model_name = new_name
model.save()
# Load up the old model again and delete it
model = RaphstoHmm.load_model(model_name)
model.delete()
print "Renamed model %s to %s" % (model_name, new_name)
def main():
usage = "%prog [options] <model-name>"
description = "Outputs or stores custom description for a trained Raphsto model"
parser = OptionParser(usage=usage, description=description)
parser.add_option('-s', '--store', dest="store", action="store_true", help="store a new description from stdin")
parser.add_option('--silent', dest="silent", action="store_true", help="don't output anything (overridden by --store)")
options, arguments = parser.parse_args()
if len(arguments) < 1:
print >>sys.stderr, "You must specify a model name as the first argument"
sys.exit(1)
model_name = arguments[0]
# Load the model
model = RaphstoHmm.load_model(model_name)
if options.store:
if not options.silent:
print >>sys.stderr, "Reading new description from stderr"
# Read from stdin
desc = "".join(ln for ln in sys.stdin)
# Use this as the model description
model.description = desc
model.save()
else:
# Output the description
if len(model.description):
print model.description,
def main():
usage = "%prog [options] <model_name>"
description = "Deletes all the files associated with a trained Raphsto model"
parser = OptionParser(usage=usage, description=description)
options, arguments = parser.parse_args()
if len(arguments) < 1:
print "You must specify a model name"
sys.exit(1)
model_name = arguments[0]
# Check the model exists
try:
model = RaphstoHmm.load_model(model_name)
except RaphstoModelLoadError:
print "Could not load model %s" % model_name
sys.exit(1)
model.delete()
print "Deleted model %s" % model_name
def main():
usage = "%prog [options] <model_name>"
description = "Deletes all the files associated with a trained Raphsto model"
parser = OptionParser(usage=usage, description=description)
options, arguments = parser.parse_args()
if len(arguments) < 1:
print "You must specify a model name"
sys.exit(1)
model_name = arguments[0]
# Check the model exists
try:
model = RaphstoHmm.load_model(model_name)
except RaphstoModelLoadError:
print "Could not load model %s" % model_name
sys.exit(1)
model.delete()
print "Deleted model %s" % model_name