def p_of_word(word, aDict, word_count, smoothing=PWL):
"""c
"""
try:
count = aDict[word]
except KeyError:
return 0.0
v = len(aDict)
return ratio(
count,
word_count,
smoothing,
v
)
def p_of_class(
self,
aClass,
smoothing=PCL):
"""c
"""
class_count = aClass.count
message_count = self.message_count
if self.agent_type == "spam":
v = len(CLASSMAPSPAM)
else:
v = len(CLASSMAP8)
return ratio(
class_count,
message_count,
smoothing,
v
)
def odds(word, class_1, class_2):
"""c
"""
pwgc1 = p_of_word_given_class(word, class_1)
pwgc2 = p_of_word_given_class(word, class_2)
return log(ratio(pwgc1, pwgc2))
