def trainingNet(self, window, nDimension):
self.nDimension = nDimension
sentences = LabeledLineSentence(self.corpus)
self.model = Doc2Vec(min_count=1, window=window, size=nDimension, sample=1e-4, negative=5, workers=4)
corpus = sentences.to_array()
self.model.build_vocab(corpus)
for epoch in range(10):
self.model.train(sentences.sentences_perm())
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