AttributeError: 'OneHotEncoder' object has no attribute '_fit_transform'

[SeekPoint]

ub16c9@ub16c9-gpu:/media/ub16c9/fcd84300-9270-4bbd-896a-5e04e79203b7/ub16_prj/ESIM-tf$ python3.6 Train.py Using TensorFlow backend. CMD : python3 Train.py --num_epochs 300 --batch_size 32 --dropout_keep_prob 0.5 --clip_value 10 --learning_rate 0.0004 --l2 0.0 --seq_length 100 --optimizer adam --early_stop_step 5000000 --threshold 0 --embedding_size 300 --embedding_normalize 1 --hidden_size 300 --attention_size 300 --eval_batch 1000 --vocab_path data/vocab.txt --embedding_path data/embeddings.pkl --trainset_path data/train.txt --devset_path data/dev.txt --testset_path data/test.txt --save_path ./model/checkpoint --best_path ./model/bestval --log_path ./config/log/log --config_path ./config/config.yaml Training with following options : ------------- HYPER PARAMETERS ------------- attention_size: 300 batch_size: 32 best_path: ./model/bestval clip_value: 10.0 config_path: ./config/config.yaml devset_path: data/dev.txt dropout_keep_prob: 0.5 early_stop_step: 5000000 embedding_normalize: 1 embedding_path: data/embeddings.pkl embedding_size: 300 eval_batch: 1000 hidden_size: 300 l2: 0.0 learning_rate: 0.0004 log_path: config/log/log.2019_06_21_08_26_24 n_classes: 3 n_vocab: 47955 num_epochs: 300 optimizer: adam save_path: ./model/checkpoint seq_length: 100 testset_path: data/test.txt threshold: 0 trainset_path: data/train.txt vocab_dict_size: 47955 vocab_path: data/vocab.txt embeded_left : (?, 100, 300) embeded_right : (?, 100, 300) a_bar : (?, 100, 600) b_bar : (?, 100, 600) att_wei : (?, 100, 100) att_soft_a : (?, 100, 100) att_soft_b : (?, 100, 100) a_hat : (?, 100, 600) b_hat : (?, 100, 600) a_diff : (?, 100, 600) a_mul : (?, 100, 600) m_a : (?, 100, 2400) m_b : (?, 100, 2400) v_a : (?, 100, 600) v_b : (?, 100, 600) v_a_avg : (?, 600) v_a_max : (?, 600) v : (?, 2400) Loading training and validation data ... Traceback (most recent call last): File "Train.py", line 164, in train() File "Train.py", line 49, in train premise_train, premise_mask_train, hypothesis_train, hypothesis_mask_train, y_train = sentence2Index(arg.trainset_path, vocab_dict) File "/media/ub16c9/fcd84300-9270-4bbd-896a-5e04e79203b7/ub16_prj/ESIM-tf/Utils.py", line 189, in sentence2Index labelList = enc._fit_transform(labelList) AttributeError: 'OneHotEncoder' object has no attribute '_fit_transform' ub16c9@ub16c9-gpu:/media/ub16c9/fcd84300-9270-4bbd-896a-5e04e79203b7/ub16_prj/ESIM-tf$