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Clean up FTRL parsing stuff.
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@ -52,7 +52,7 @@ from ._parse_features cimport fill_context
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from .stateclass cimport StateClass
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from ._state cimport StateC
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USE_FTRL = False
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DEBUG = False
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def set_debug(val):
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global DEBUG
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@ -86,14 +86,14 @@ cdef class ParserModel(AveragedPerceptron):
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guess = eg.guess
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if guess == best or best == -1:
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return 0.0
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for feat in eg.c.features[:eg.c.nr_feat]:
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self.update_weight_ftrl(feat.key, guess, feat.value * eg.c.costs[guess])
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self.update_weight_ftrl(feat.key, best, -feat.value * eg.c.costs[guess])
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#for clas in [guess, best]:
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# loss += (-eg.c.costs[clas] - eg.c.scores[clas]) ** 2
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# d_loss = eg.c.scores[clas] - -eg.c.costs[clas]
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# for feat in eg.c.features[:eg.c.nr_feat]:
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# self.update_weight_ftrl(feat.key, clas, feat.value * d_loss)
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if USE_FTRL:
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for feat in eg.c.features[:eg.c.nr_feat]:
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self.update_weight_ftrl(feat.key, guess, feat.value * eg.c.costs[guess])
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self.update_weight_ftrl(feat.key, best, -feat.value * eg.c.costs[guess])
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else:
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for feat in eg.c.features[:eg.c.nr_feat]:
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self.update_weight(feat.key, guess, feat.value * eg.c.costs[guess])
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self.update_weight(feat.key, best, -feat.value * eg.c.costs[guess])
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return eg.c.costs[guess]
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def update_from_histories(self, TransitionSystem moves, Doc doc, histories, weight_t min_grad=0.0):
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@ -324,6 +324,8 @@ cdef class Parser:
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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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eg.fill_is_valid(1, eg.c.nr_class)
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self.moves.finalize_state(stcls.c)
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return loss
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def step_through(self, Doc doc):
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@ -76,8 +76,8 @@ cdef class TaggerModel(AveragedPerceptron):
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best = VecVec.arg_max_if_zero(eg.c.scores, eg.c.costs, eg.c.nr_class)
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if guess != best:
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for feat in eg.c.features[:eg.c.nr_feat]:
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self.update_weight_ftrl(feat.key, best, -feat.value)
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self.update_weight_ftrl(feat.key, guess, feat.value)
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self.update_weight(feat.key, best, -feat.value)
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self.update_weight(feat.key, guess, feat.value)
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cdef void set_featuresC(self, ExampleC* eg, const TokenC* tokens, int i) except *:
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_fill_from_token(&eg.atoms[P2_orth], &tokens[i-2])
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