Open rpytel1 opened 4 years ago
config/char_based/one_hot.json
config/char_based/10_dim.json
config/char_based/20_dim.json
Try for both LSTM 1 layer and 2 layers (max 5/7 epochs)
config/word_based/500dim.json
config/word_based/100dim.json
config/word_based/20dim.json
config/code_2_vec/code2vec.json
Char based approach
config/char_based/one_hot.json
config/char_based/10_dim.json
config/char_based/20_dim.json
Try for both LSTM 1 layer and 2 layers (max 5/7 epochs)
Word-based approach
config/word_based/500dim.json
config/word_based/100dim.json
config/word_based/20dim.json
Try for both LSTM 1 layer and 2 layers (max 5/7 epochs)
Code2vec training
config/code_2_vec/code2vec.json
(Still need some fixing with paths for dicts and data)Code2vec pretrained output