def main():
import utils
utils.pdb_on_error()
ontology_path = os.path.join(xtrack2_config.data_directory,
'dstc2/scripts/config/ontology_dstc2.json')
with open(ontology_path) as f_in:
dstc_ontology = json.load(f_in)
ontology = dict(food=dstc_ontology['informable']['food'])
xtrack_data2.prepare_experiment(
experiment_name='e2_food_tagged',
data_directory=xtrack2_config.data_directory,
slots=['food'],
slot_groups={'food': ['food']},
ontology=ontology,
builder_opts=dict(tagged=True, no_label_weight=True),
skip_dstc_import_step=True)
def main(skip_dstc_import_step, builder_type):
import utils
utils.pdb_on_error()
ontology_path = os.path.join(xtrack2_config.data_directory,
'dstc2/scripts/config/ontology_dstc2.json')
with open(ontology_path) as f_in:
dstc_ontology = json.load(f_in)
ontology = dict(food=dstc_ontology['informable']['food'],
pricerange=dstc_ontology['informable']['pricerange'],
area=dstc_ontology['informable']['area'],
name=dstc_ontology['informable']['name'],
method=dstc_ontology['method'])
data_utils.prepare_experiment(
experiment_name='e2_tagged_%s' % builder_type,
data_directory=xtrack2_config.data_directory,
slots=[
'food', 'area', 'pricerange', 'name', 'method', 'req_food',
'req_area', 'req_pricerange', 'req_name', 'req_phone', 'req_addr',
'req_postcode', 'req_signature'
],
slot_groups=dict(food=['food'],
area=['area'],
pricerange=['pricerange'],
name=['name'],
method=['method'],
goals=['food', 'area', 'pricerange', 'name'],
requested=[
'req_food', 'req_area', 'req_pricerange',
'req_name', 'req_phone', 'req_addr',
'req_postcode', 'req_signature'
]),
ontology=ontology,
builder_opts=dict(tagged=True, no_label_weight=True),
skip_dstc_import_step=skip_dstc_import_step,
builder_type=builder_type)
flags += ' INCORRECT'
if (a1 == food_t):
flags += ' BCORRECT'
else:
flags += ' BINCORRECT'
print flags
if a1 == food_t:
acc_good += 1
acc_total += 1
if a2 == food_t:
acc_good_our += 1
acc_total_our += 1
if a1 != '_null_' or a2 != '_null_' or food_t != '_null_':
print ' bas: %.30s our: %.30s true: %s' % (food_d1, food_d2,
food_t)
print
print 'baseline accuracy', acc_good / acc_total
print 'our accuracy', acc_good_our / acc_total_our
if __name__ == '__main__':
from utils import pdb_on_error
pdb_on_error()
main()
parser.add_argument('--oclf_n_layers', default=0, type=int)
parser.add_argument('--oclf_activation', default="tanh", type=str)
parser.add_argument('--rnn_n_layers', default=1, type=int)
parser.add_argument('--lstm_peepholes', default=False, action='store_true')
parser.add_argument('--lstm_bidi', default=True, action='store_true')
parser.add_argument('--debug', default=True, action='store_true')
parser.add_argument('--track_log', default='track_log.txt', type=str)
parser.add_argument(
'--eval_on_full_train', default=False, action='store_true'
)
parser.add_argument(
'--enable_branch_exp', default=False, action='store_true'
)
parser.add_argument(
'--enable_token_supervision', default=False, action='store_true'
)
parser.add_argument('--ontology', required=True)
return parser
if __name__ == '__main__':
parser = build_argument_parser()
args = parser.parse_args()
pdb_on_error()
args_lst = list(sorted(vars(args).iteritems()))
main(args_lst, **vars(args))
env.new_episode()
while not env.is_finished():
env.step()
if env.episode % episode_modulo == 0:
print(unicode(env))
env.finalize_episode()
if env.episode % episode_modulo == 0:
modulo_callback()
if __name__ == '__main__':
import utils
utils.pdb_on_error()
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--alpha', type=float, default=0.1)
parser.add_argument('--gamma', type=float, default=1.0)
parser.add_argument('--epsilon', type=float, default=0.1)
parser.add_argument('--episode_modulo', type=float, default=1000)
parser.add_argument('--agent', action='append')
#parser.add_argument('--agent1_type', default='sarsa')
#parser.add_argument('--agent2_type', default='sarsa')
#parser.add_argument('--agent1_load', default=None)
#parser.add_argument('--agent1_save', default=None)
#parser.add_argument('--agent2_load', default=None)
#parser.add_argument('--agent2_save', default=None)
'slots': data.slots
}
return context
def visualize_html(track_file, dataset, dest_file):
context = visualize(track_file, dataset)
add_common_context(context)
env = Environment(loader=FileSystemLoader('xtrack2_vis'))
tpl = env.get_template('xtrack2_track_index.html')
with open(dest_file, 'w') as f_out:
f_out.write(tpl.render(**context))
if __name__ == '__main__':
import argparse
import utils
utils.pdb_on_error()
parser = argparse.ArgumentParser()
parser.add_argument('--track_file')
parser.add_argument('--dataset')
parser.add_argument('--dest_file')
args = parser.parse_args()
visualize_html(**vars(args))
