def repeated_item_probability(self, item, category):
item_feature_count = Counter(get_words(item))
p = 1.
for f, c in item_feature_count.iteritems():
# this doesn't make sense unless you're trying to compare the probabilities for numerouse vs single occurences of a feature
p *= pow(self.weighted_feature_probability(f, category), c)
return p
def repeated_item_probability(self, item, category):
item_feature_count = Counter(get_words(item))
p = 1.
for f, c in item_feature_count.iteritems():
# this doesn't make sense unless you're trying to compare the probabilities for numerouse vs single occurences of a feature
p *= pow(self.weighted_feature_probability(f, category), c)
return p
def item_probability(self, item, category):
item_features = set(get_words(item))
p = 1.
for f in item_features:
p *= self.weighted_feature_probability(f, category)
return p
def item_probability(self, item, category):
item_features = set(get_words(item))
p = 1.
for f in item_features:
p *= self.weighted_feature_probability(f, category)
return p
