def __init__(self, model='svm', features='bm25,', comment_features='bm25,', stop=True, vector='word2vec', path=FEATURES_PATH, alpha=0.1, sigma=0.9, gridsearch='random'):
Quora.__init__(self, stop=stop, vector=vector)
self.path = path
self.features = features.split(',')
self.comment_features = comment_features.split(',')
self.gridsearch = gridsearch
self.svm = Model()
self.model = model
self.bm25 = QuoraBM25(stop=stop) if 'bm25' in self.features+self.comment_features else None
self.cosine = QuoraCosine(stop=stop) if 'cosine' in self.features+self.comment_features else None
self.softcosine = QuoraSoftCosine(stop=stop, vector=vector) if 'softcosine' in self.features+self.comment_features else None
self.translation = QuoraTranslations(alpha=alpha, sigma=sigma, stop=stop, vector=self.vector) if 'translation' in self.features+self.comment_features else None
self.train()
def __init__(self, alpha, sigma, stop=True, vector='word2vec'):
Quora.__init__(self, stop=stop, vector=vector)
self.alpha = alpha
self.sigma = sigma
self.train()
def __init__(self, stop=True, vector='word2vec'):
Quora.__init__(self, stop=stop, vector=vector)
self.train()
def __init__(self, stop=True):
Quora.__init__(self, stop=stop)
self.train()
