mirror of https://github.com/explosion/spaCy.git
* Clean up 'guess_cache' idea, which didnt work well enough
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@ -6,7 +6,6 @@ from .arc_eager cimport TransitionSystem
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from ..tokens cimport Tokens, TokenC
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from ._state cimport State
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from ..index cimport DecisionMemory
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cdef class GreedyParser:
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@ -14,6 +13,5 @@ cdef class GreedyParser:
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cdef Extractor extractor
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cdef readonly LinearModel model
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cdef TransitionSystem moves
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cdef readonly DecisionMemory guess_cache
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cpdef int parse(self, Tokens tokens) except -1
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@ -65,15 +65,8 @@ cdef class GreedyParser:
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self.extractor = Extractor(get_templates(self.cfg.features))
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self.moves = TransitionSystem(self.cfg.left_labels, self.cfg.right_labels)
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self.model = LinearModel(self.moves.n_moves, self.extractor.n_templ)
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# Classes for decision memory
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classes = ['S', 'D']
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classes += ['L-%s' % label for label in self.cfg.left_labels]
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classes += ['R-%s' % label for label in self.cfg.right_labels]
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self.guess_cache = DecisionMemory(classes)
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if os.path.exists(pjoin(model_dir, 'model')):
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self.model.load(pjoin(model_dir, 'model'))
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if os.path.exists(pjoin(model_dir, 'guess_cache')):
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self.guess_cache.load(pjoin(model_dir, 'guess_cache'))
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cpdef int parse(self, Tokens tokens) except -1:
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cdef:
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@ -86,18 +79,11 @@ cdef class GreedyParser:
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cdef int n_feats
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cdef Pool mem = Pool()
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cdef State* state = init_state(mem, tokens.data, tokens.length)
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cdef int guess_clas
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while not is_final(state):
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state_key = _approx_hash_state(state)
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guess_clas = self.guess_cache.get(state_key)
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if guess_clas == -1:
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fill_context(context, state)
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feats = self.extractor.get_feats(context, &n_feats)
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scores = self.model.get_scores(feats, n_feats)
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guess = self.moves.best_valid(scores, state)
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self.guess_cache.inc(state_key, guess.clas, 1)
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else:
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guess = self.moves._moves[guess_clas]
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fill_context(context, state)
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feats = self.extractor.get_feats(context, &n_feats)
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scores = self.model.get_scores(feats, n_feats)
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guess = self.moves.best_valid(scores, state)
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self.moves.transition(state, &guess)
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return 0
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@ -134,14 +120,6 @@ cdef class GreedyParser:
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return n_corr
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cdef inline uint64_t _approx_hash_state(const State* state) nogil:
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cdef int[3] context
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context[0] = get_s0(state).lex.sic
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context[1] = get_n0(state).lex.sic
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context[2] = get_n1(state).pos if state.i < (state.sent_len - 1) else 0
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return hash64(context, sizeof(int) * 3, 0)
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cdef dict _get_counts(int guess, int best, const Feature* feats, const int n_feats,
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int inc):
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if guess == best:
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