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spaCy
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* Remove hard-coding of vector lengths

This commit is contained in:
Matthew Honnibal 2015-06-27 04:18:47 +02:00
parent da793073d0
commit ed40a8380e
2 changed files with 3 additions and 3 deletions
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4
spacy/_theano.pyx
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@ -28,7 +28,7 @@ cdef class TheanoModel(Model):
self.model_loc = model_loc
def predict(self, Example eg):
self.input_layer.fill(eg.embeddings, eg.atoms)
self.input_layer.fill(eg.embeddings, eg.atoms, use_avg=True)
theano_scores = self.predict_func(eg.embeddings)[0]
cdef int i
for i in range(self.n_classes):
@ -37,7 +37,7 @@ cdef class TheanoModel(Model):
self.n_classes)
def train(self, Example eg):
self.input_layer.fill(eg.embeddings, eg.atoms)
self.input_layer.fill(eg.embeddings, eg.atoms, use_avg=False)
theano_scores, update, y = self.train_func(eg.embeddings, eg.costs, self.eta)
self.input_layer.update(update, eg.atoms, self.t, self.eta, self.mu)
for i in range(self.n_classes):

2
spacy/syntax/parser.pyx
View File

@ -53,7 +53,7 @@ def get_templates(name):
elif name == 'debug':
return pf.unigrams
elif name.startswith('embed'):
return ((10, pf.words), (10, pf.tags), (10, pf.labels))
return (pf.words, pf.tags, pf.labels)
else:
return (pf.unigrams + pf.s0_n0 + pf.s1_n0 + pf.s1_s0 + pf.s0_n1 + pf.n0_n1 + \
pf.tree_shape + pf.trigrams)