def __init__(self, **kwargs):
Model.__init__(self, **kwargs)
if not hasattr(self, "id"): self.id = 0
if not hasattr(self, "ordered_on"): self.ordered_on = date.today()
if not hasattr(self, "name"): self.name = ""
if not hasattr(self, "quantity"): self.quantity = 1
if not hasattr(self, "isurgent"): self.isurgent = False
if not hasattr(self, "isordered"): self.isordered = False
def __init__(self, **kwargs):
Model.__init__(self, **kwargs)
if not hasattr(self, "id"): self.id = 0
if not hasattr(self, "ordered_on"): self.ordered_on = date.today()
if not hasattr(self, "name"): self.name = ""
if not hasattr(self, "quantity"): self.quantity = 1
if not hasattr(self, "isurgent"): self.isurgent = False
if not hasattr(self, "isordered"): self.isordered = False
def __init__(self, reader, dropout = True, embed_dim = 256, h_dim = 128, v_dim = 128, learning_rate = 0.02, model_dir = 'model_dir'): Model.__init__(self, model_dir) self.reader = reader self.vocab_size = len(self.reader.vocab) self.embed_dim = embed_dim self.h_dim = h_dim self.v_dim = v_dim self.learning_rate = learning_rate self.build_model(dropout)
def __init__(self, reader, dropout = True, embed_dim = 256, rnn_dim = 128, num_filters = 128, learning_rate = 0.01, model_dir = 'model_dir'): Model.__init__(self, model_dir) self.reader = reader self.vocab_size = len(self.reader.vocab) self.embed_dim = embed_dim self.rnn_dim = rnn_dim self.num_filters = num_filters self.learning_rate = learning_rate self.cnnx = cnnx(num_filters) self.build_model(dropout)
def __init__(self, parent=None, key_name=None, **kw):
Model.__init__(self, parent=parent, key_name=key_name, **kw)
