def test(self):
"""
Call the Dialogue Test
"""
trace('initializing ...')
encoderDecoderModel = EncoderDecoderModel(self.parameter_dict)
encoderDecoderModel.test()
def train(self):
"""
Call the Dialogue Training
"""
trace('initializing ...')
encoderDecoderModel = EncoderDecoderModel(self.parameter_dict)
encoderDecoderModel.train()
def train(self):
"""
Call the Dialogue Training
"""
trace("initializing ...")
encoderDecoderModel = EncoderDecoderModel(self.parameter_dict)
encoderDecoderModel.train()
def test(self):
"""
Call the Dialogue Test
"""
trace("initializing ...")
encoderDecoderModel = EncoderDecoderModel(self.parameter_dict)
encoderDecoderModel.test()
def train(self):
batch_count = 0
self.parameter_dict["x"] = []
self.parameter_dict["first_word"] = []
encoderDecoderModel = EncoderDecoderModel(self.parameter_dict)
for epoch in range(self.parameter_dict["epoch"]):
for k, v in self.read_data.total_words_ids.items():
if k in self.read_data.images_ids:
try:
self.__get_data(k, batch_count)
if batch_count == self.parameter_dict["minibatch"] - 1:
self.__call_miniatch_train(encoderDecoderModel, epoch)
batch_count = 0
except ValueError as e:
print(str(e))
continue
batch_count = batch_count + 1
encoderDecoderModel.save_model()
