def f_beta(precision, recall, beta=1):
"""
Get F_beta score from precision and recall.
"""
beta = float(beta) # Make sure that results are in float
return (1 + pow(beta, 2)) * (precision * recall) / (
(pow(beta, 2) * precision) + recall)
if __name__ == '__main__':
args = docopt.docopt(__doc__)
logging.debug(args)
if args['--stanford']:
predicted = StanfordReader()
predicted.read(args['--stanford'])
if args['--props']:
predicted = PropSReader()
predicted.read(args['--props'])
if args['--ollie']:
predicted = OllieReader()
predicted.read(args['--ollie'])
if args['--reverb']:
predicted = ReVerbReader()
predicted.read(args['--reverb'])
if args['--clausie']:
PTB_ESCAPES = [
('(', '-LRB-'),
(')', '-RRB-'),
('[', '-LSB-'),
(']', '-RSB-'),
('{', '-LCB-'),
('}', '-RCB-'),
]
if __name__ == '__main__':
args = docopt.docopt(__doc__)
logging.debug(args)
if args['--stanford']:
predicted = StanfordReader()
predicted.read(args['--stanford'])
if args['--props']:
predicted = PropSReader()
predicted.read(args['--props'])
if args['--ollie']:
predicted = OllieReader()
predicted.read(args['--ollie'])
if args['--reverb']:
predicted = ReVerbReader()
predicted.read(args['--reverb'])
if args['--clausie']: