class Execute(object):
def __init__(self):
self.depnn = DepNN()
#self.depnn.extendLookUp('test.txt')
#self.depnn.load_wordvector('../data/word-vec.bin')
self.deptree = DependencyTree()
def build_model(self):
self.depnn.build_AutoEncoder(200, 'compilation.bin')
def load_model(self):
self.depnn.load_AutoEncoder('../data/compilation.bin')
def train_sentence(self, lines):
w = self.deptree.read_sent(lines[0])
y = self.deptree.read_dependency(lines[1])
#self.depnn.saveRAE('../data/weights.bin')
#self.depnn.loadRAE('../data/weights.bin')
print ' '.join(x[0] for x in w)
self.depnn.build_DepRNN_Tree(y)
def dump_weights(self, db_file):
self.depnn.saveRAE(db_file)
def load_weights(self, db_file):
self.depnn.loadRAE(db_file)
def __init__(self):
self.depnn = DepNN()
self.depnn.extendLookUp('../data/depcheck2')
self.depnn.load_wordvector('../data/word-vec.bin')
self.deptree = DependencyTree()
