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* Update for modified thinc interface
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@ -200,7 +200,9 @@ cdef class Parser:
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action = self.moves.c[eg.guess]
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action = self.moves.c[eg.guess]
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action.do(stcls.c, action.label)
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action.do(stcls.c, action.label)
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loss += eg.costs[eg.guess]
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loss += eg.costs[eg.guess]
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eg.reset_classes(eg.nr_class)
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eg.fill_scores(0, eg.nr_class)
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eg.fill_costs(0, eg.nr_class)
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eg.fill_is_valid(0, eg.nr_class)
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return loss
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return loss
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def step_through(self, Doc doc):
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def step_through(self, Doc doc):
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@ -209,7 +209,7 @@ cdef class Tagger:
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eg.c.features, eg.c.nr_feat)
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eg.c.features, eg.c.nr_feat)
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guess = VecVec.arg_max_if_true(eg.c.scores, eg.c.is_valid, eg.c.nr_class)
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guess = VecVec.arg_max_if_true(eg.c.scores, eg.c.is_valid, eg.c.nr_class)
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self.vocab.morphology.assign_tag(&tokens.c[i], guess)
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self.vocab.morphology.assign_tag(&tokens.c[i], guess)
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eg.reset_classes(eg.c.nr_class)
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eg.fill_scores(0, eg.c.nr_class)
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tokens.is_tagged = True
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tokens.is_tagged = True
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tokens._py_tokens = [None] * tokens.length
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tokens._py_tokens = [None] * tokens.length
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@ -244,7 +244,8 @@ cdef class Tagger:
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correct += eg.cost == 0
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correct += eg.cost == 0
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self.freqs[TAG][tokens.c[i].tag] += 1
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self.freqs[TAG][tokens.c[i].tag] += 1
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eg.reset_classes(eg.c.nr_class)
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eg.fill_scores(0, eg.c.nr_class)
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eg.fill_costs(0, eg.c.nr_class)
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tokens.is_tagged = True
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tokens.is_tagged = True
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tokens._py_tokens = [None] * tokens.length
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tokens._py_tokens = [None] * tokens.length
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return correct
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return correct
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