def create_argument_parser():
parser = argparse.ArgumentParser(
description='train a custom language parser')
parser.add_argument('-o',
'--path',
default="models/nlu/",
help="Path where model files will be saved")
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument('-d',
'--data',
default=None,
help="Location of the training data. For JSON and "
"markdown data, this can either be a single file "
"or a directory containing multiple training "
"data files.")
group.add_argument('-u',
'--url',
default=None,
help="URL from which to retrieve training data.")
group.add_argument('--endpoints',
default=None,
help="EndpointConfig defining the server from which "
"pull training data.")
parser.add_argument('-c',
'--config',
required=True,
help="Rasa NLU configuration file")
parser.add_argument('-t',
'--num_threads',
default=1,
type=int,
help="Number of threads to use during model training")
parser.add_argument('--project',
default=None,
help="Project this model belongs to.")
parser.add_argument('--fixed_model_name',
help="If present, a model will always be persisted "
"in the specified directory instead of creating "
"a folder like 'model_20171020-160213'")
parser.add_argument(
'--storage',
help='Set the remote location where models are stored. '
'E.g. on AWS. If nothing is configured, the '
'server will only serve the models that are '
'on disk in the configured `path`.')
utils.add_logging_option_arguments(parser)
return parser
def create_argument_parser():
import argparse
parser = argparse.ArgumentParser(
description='evaluate a Rasa NLU pipeline with cross '
'validation or on external data')
utils.add_logging_option_arguments(parser, default=logging.INFO)
_add_arguments(parser)
return parser
def create_argument_parser():
import argparse
parser = argparse.ArgumentParser(
description='run a Rasa NLU model locally on the command line '
'for manual testing')
parser.add_argument('-m', '--model', required=True, help="path to model")
utils.add_logging_option_arguments(parser, default=logging.INFO)
return parser
def create_argument_parser():
parser = argparse.ArgumentParser(description='parse incoming text')
cli.add_server_arguments(parser)
utils.add_logging_option_arguments(parser)
return parser
