def __init__(self):
self.preprocessor = Preprocess.Preprocessor()
self.embedding = Embeddings()
self.lr = 5e-4
self.batch_size = 128
self.n_epoch = 10
self.sentence_length = self.preprocessor.sentence_length
self.vec_dim = self.embedding.vec_dim
self.filter_sizes = [2, 3]
self.num_filters = 64
self.num_hidden = 100
self.l2_reg = 0.0004
self.num_classes = 2
self.vocab_size = 212237
def __init__(self, model_type="ABCNN3", clip_gradients=True):
self.model_type = model_type
self.preprocessor = Preprocess.Preprocessor()
self.embedding = Embeddings()
self.lr = 0.05
self.batch_size = 64
self.n_epoch = 12
self.sentence_length = self.preprocessor.sentence_length
self.w = 4
self.l2_reg = 0.0004
self.di = 50 # The number of convolution kernels
self.vec_dim = self.embedding.vec_dim
self.num_classes = 2
self.num_layers = 2
self.clip_gradients = clip_gradients
self.max_grad_norm = 5.
self.eclipse = 1e-9
self.vocab_size = 212237
def __init__(self):
self.scale = 0.1
self.vec_dim = 64
self.preprocessor = Preprocess.Preprocessor()