def encoding_demo():
import sys
from nltk.classify.maxent import TadmEventMaxentFeatureEncoding
tokens = [
({
"f0": 1,
"f1": 1,
"f3": 1
}, "A"),
({
"f0": 1,
"f2": 1,
"f4": 1
}, "B"),
({
"f0": 2,
"f2": 1,
"f3": 1,
"f4": 1
}, "A"),
]
encoding = TadmEventMaxentFeatureEncoding.train(tokens)
write_tadm_file(tokens, encoding, sys.stdout)
print()
for i in range(encoding.length()):
print("%s --> %d" % (encoding.describe(i), i))
print()
def encoding_demo():
import sys
from nltk.classify.maxent import TadmEventMaxentFeatureEncoding
tokens = [
({
'f0': 1,
'f1': 1,
'f3': 1
}, 'A'),
({
'f0': 1,
'f2': 1,
'f4': 1
}, 'B'),
({
'f0': 2,
'f2': 1,
'f3': 1,
'f4': 1
}, 'A'),
]
encoding = TadmEventMaxentFeatureEncoding.train(tokens)
write_tadm_file(tokens, encoding, sys.stdout)
print()
for i in range(encoding.length()):
print('%s --> %d' % (encoding.describe(i), i))
print()
def encoding_demo():
import sys
from nltk.classify.maxent import TadmEventMaxentFeatureEncoding
tokens = [({'f0':1, 'f1':1, 'f3':1}, 'A'),
({'f0':1, 'f2':1, 'f4':1}, 'B'),
({'f0':2, 'f2':1, 'f3':1, 'f4':1}, 'A')]
encoding = TadmEventMaxentFeatureEncoding.train(tokens)
write_tadm_file(tokens, encoding, sys.stdout)
print()
for i in range(encoding.length()):
print('%s --> %d' % (encoding.describe(i), i))
print()