# # flag_load_data = True # data if flag_load_data: dataset.load_preprocessed_data() else: dataset.pretrained_emb_file = None dataset.emb_dim = 200 dataset.max_seq_len = 200 dataset.prepare_preprocessed_data(load_vocab=False) # data_train, data_test = dataset.split_train_and_test() # # config = ModelSettings() config.vocab = dataset.vocab config.model_tag = model_tag config.model_graph = build_graph config.is_train = True config.check_settings() # model = ModelWrapper(config) model.prepare_for_train_and_valid() # model.train_and_valid(data_train, data_test) #
dataset = Dataset() # # flag_load_data = True # data if flag_load_data: dataset.load_preprocessed_data() else: dataset.pretrained_emb_file = None dataset.prepare_preprocessed_data(load_vocab=False) # data_train = dataset.data_idx_train, dataset.labels_idx_train data_valid = dataset.data_idx_valid, dataset.labels_idx_valid # # config = ModelSettings() config.vocab = dataset.vocab config.model_tag = model_tag config.model_graph = build_graph config.is_train = True config.check_settings() # model = ModelWrapper(config) model.prepare_for_train_and_valid() # model.train_and_valid(data_train, data_valid) #