def __init__(self, nlp):
Model.__init__(self)
self._id_map = {0: 0}
self.nO = nlp.vocab.vectors_length
self.nM = self.nO
self.nV = len(nlp.vocab)
self.W.fill(0)
vectors = self.vectors
for i, word in enumerate(nlp.vocab):
self._id_map[word.orth] = i + 1
vectors[i + 1] = word.vector / (word.vector_norm or 1.)
def __init__(self, nlp, nO):
Model.__init__(self)
self._id_map = {0: 0}
self.nO = nO
self.nM = nlp.vocab.vectors_length
self.nlp = nlp