def _train_relations_all(self, tags):
import itertools
if not len(tags) > 1:
return
combiantions = itertools.combinations(tags.keys(), 2)
for a, b in combiantions:
min, max = get_min_max(a, b)
value = float(tags[min]/tags[max])
key_min = cache_key(TRAIN_RELATION_ALL_PREFIX, min)
key_max = cache_key(TRAIN_RELATION_ALL_PREFIX, max)
cache.zincrby(name=key_min, value=max, amount=value)
cache.zincrby(name=key_max, value=min, amount=value)
def _train_relations(self, tags):
import itertools
if not len(tags) > 1:
return
total = reduce(lambda x, y: x+y, tags.values())
real_tags = {}
for tag in tags:
if tags[tag]/total > threshold:
real_tags.update({tag: tags[tag]})
if not len(real_tags) > 1:
return
combiantions = itertools.combinations(real_tags.keys(), 2)
for a, b in combiantions:
min, max = get_min_max(a, b)
value = float(real_tags[min]/real_tags[max])
key_min = cache_key(TRAIN_RELATION_PREFIX, min)
key_max = cache_key(TRAIN_RELATION_PREFIX, max)
cache.zincrby(name=key_min, value=max, amount=value)
cache.zincrby(name=key_max, value=min, amount=value)
