def __init__(self, category=CATEGORY, indicator='default', verbose=True):
self.category = category
self.indicator = indicator
self.verbose = verbose
self.blob = Learnblob(self.category,
indicator=self.indicator,
load=True,
save=False)
self.blob.loadClassifier(self.category, self.indicator)
print self.blob
class Applier(object):
def __init__(self, category=CATEGORY, indicator='default', verbose=True):
self.category = category
self.indicator = indicator
self.verbose = verbose
self.blob = Learnblob(self.category,
indicator=self.indicator,
load=True,
save=False)
self.blob.loadClassifier(self.category, self.indicator)
print self.blob
def applyClassifier(self, text):
prob_dist = self.blob.classifier.prob_classify(text)
result = {"prob": prob_dist.prob("pos")}
return result
