def simulate(self, actions, sent):
'''simulate the result of a given sequence of actions'''
self.State.sent = sent
n = len(sent)
state = self.State.initstate() # initial state
actionfeats = Vector()
for i, action in enumerate(actions, 1):
## actionfeats += state.make_feats(action) ## has to be OLD STATE -- WHY?
for feat in state.make_feats(action):
#if action[0] != -2:
actionfeats[feat] += 1
if action in state.allowed_actions():
for new in state.take(action):
state = new
break
else:
print >> logs, "Error! BAD SEQUENCE!"
break
return state, actionfeats
def __init__(self, decoder):
self.trainfile = FLAGS.train
self.trainlines = open(self.trainfile).readlines()
self.devfile = FLAGS.dev
self.devlines = open(self.devfile).readlines()
self.outfile = FLAGS.out
self.save_to = FLAGS.save_to
self.decoder = decoder # a class, providing functions: load(), decode(), get_feats()
self.iter = FLAGS.iter
self.start_iter = FLAGS.start_iter
self.avg = FLAGS.avg
self.shuffle = FLAGS.shuffle
self.weights = decoder.model.weights
if FLAGS.resume_from is None:
self.allweights = Vector()
self.c = 0. # counter: how many examples have i seen so far? = it * |train| + i
else:
self.c = (self.start_iter - 1) * len(self.trainlines)
self.allweights = Model(
FLAGS.allweights).weights # read all weights from file
def __init__(self, decoder):
self.trainfile = FLAGS.train
self.devfile = FLAGS.dev
self.outfile = FLAGS.out
self.decoder = decoder # a class, providing functions: load(), decode(), get_feats()
self.iter = FLAGS.iter
self.avg = FLAGS.avg
self.weights = decoder.model.weights
self.allweights = Vector()
self.c = 0. # counter: how many examples have i seen so far? = it * |train| + i
def feats(self, action=None):
if self._feats is None:
self._feats = self.model.make_feats(
self) #if self.model is not None else []
if action is None:
return self._feats
else:
aa = "=>" + State.names[action]
fv = Vector()
for f in self._feats:
fv[f + aa] = 1
return fv
