import logging
import sys
# from word2embeddings.apps import use_theano_development_version
# use_theano_development_version()
from cis.deep.utils import logger_config
from word2embeddings.nn.trainer import HingeSentimentMiniBatchTrainer, \
HingeSentiment2MiniBatchTrainer, HingeMiniBatchTrainer, \
SimpleVLblNceTrainer, SimpleVLblNceSentimentTrainer, \
VLblNceTrainer, VLblNceSentimentTrainer, VLblNceDistributionalTrainer, \
NlblNceTrainer, NvLblNceTrainer, SLmNceTrainer, LblNceTrainer
from word2embeddings.tools.util import debug
log = getLogger(__name__)
logger_config(log)
parser = ArgumentParser()
parser.add_argument('train_file',
help='Document for training that contains tokenized text')
parser.add_argument(
'--hidden-layers',
dest='hidden_layers',
help='Width of each hidden layer, comma separated. E.g., ' +
'"28,64,32". This option only has an effect for mlp models and ' +
'for slm, where only one hidden layer is allowed.')
parser.add_argument(
'vocabulary',
help='Vocabulary file that contains list of tokens.\nCaution: Add ' +
# -*- coding: utf-8 -*-
"""
example usage:
"""
from argparse import ArgumentParser
from logging import getLogger
import re
import sys
from cis.deep.utils import utf8_file_open, logger_config
log = getLogger(__name__)
logger_config(log)
parser = ArgumentParser(description="""Escape the given text file to remove all
regular expressions.""")
parser.add_argument('infile',
help='file that might contain regular expressions')
parser.add_argument('outfile', help='file having regular expressions escaped')
def main(argv=None):
if argv is None:
argv = sys.argv[1:]
args = parser.parse_args(argv)
log.info('start parameters: ' + str(args))
log.info('transforming data')
