def main(conf):
basic_para = Basic(config=conf)
if not basic_para.cmd_log and basic_para.log_dir:
mode = ""
if basic_para.do_training:
mode += "_train"
if basic_para.do_test:
mode += "_test"
log_path = os.path.join(
basic_para.log_dir,
basic_para.model_name,
basic_para.run_name + mode + ".log",
)
append_num_to_path(log_path)
ensure_dir(log_path)
set_file_log(log_path)
print("Logging is set at: " + log_path)
if basic_para.debug_mode:
set_basic_log(logging.DEBUG)
else:
set_basic_log()
logger.info("Started the runner at " +
strftime("%Y-%m-%d_%H-%M-%S", localtime()))
logger.info(json.dumps(conf, indent=2))
runner = ArgRunner(config=conf)
if basic_para.run_baselines:
runner.run_baselines(basic_para)
if basic_para.do_training:
runner.train(basic_para, resume=True)
if basic_para.do_test:
if not basic_para.test_in:
logger.error("Test data path is not provided.")
if not os.path.exists(basic_para.test_in):
logger.error(f"Cannot find test path at {basic_para.test_in}")
result_dir = os.path.join(
basic_para.log_dir,
basic_para.model_name,
basic_para.run_name,
basic_para.test_data,
)
logger.info("Evaluation results will be saved in: " + result_dir)
runner.test(
test_in=basic_para.test_in,
eval_dir=result_dir,
)
help="Which frame formalism is to predict the slots, currently support "
"FrameNet and Propbank",
default_value="Propbank",
).tag(config=True)
use_gold_frame = Bool(
help="Use gold the gold frame produced by annotation",
default_value=False).tag(config=True)
strict_arg_count = Bool(help="Force lossless number of arguments",
default_value=False).tag(config=True)
if __name__ == "__main__":
from event.util import load_mixed_configs, set_basic_log
set_basic_log()
hash_params = HashParam(config=load_mixed_configs())
stat_counters = {
"predicate": Counter(),
"implicit predicates": Counter(),
"implicit slots": Counter(),
}
stat_keys = stat_counters.keys()
hash_data()
print("==========Implicit arguments Statistics===========")
headline = "Predicate\t" + "\t".join(stat_keys)
print(headline)
preds = sorted(stat_counters["implicit predicates"].keys())
tag_vocab, config.language)
dev_reader = ConllUReader(config.dev_files, config, token_vocab,
train_reader.tag_vocab, config.language)
detector = DetectionTrainer(config, token_vocab, tag_vocab)
detector.train(train_reader, dev_reader)
# def __init__(self, component_name, run_id, out_path):
res_collector = CSR("Event_hector_frames", 1, config.output, "belcat")
test_reader = ConllUReader(config.test_files, config, token_vocab,
train_reader.tag_vocab)
detector.predict(test_reader, res_collector)
res_collector.run()
if __name__ == "__main__":
from event import util
parser = util.evm_args()
arguments = parser.parse_args()
util.set_basic_log()
logging.info("Starting with the following config:")
logging.info(arguments)
main(arguments)
