# Conflicts:
#	fastNLP/modules/encoder/embedding.py
#	fastNLP/modules/encoder/lstm.py

add default parameters for modules, in order to decrease required params; update POSPreprocessor to return multi-level lists; add metrics.py

Add classification model.

optimize evaluation output in Trainer;
keep POS pipeline (loader + trainer + tester + saver) OK;
add codes borrowed from FudanParser.

update config loader

add ConfigSection class to save config data

restructure module: 4 classes; add modules; move prototype and rename

update config loader

1

- restructure: move reproduction outside
- add evaluate in tester

- add people.txt in data_for_tests
- To do: incorrect CRF param in POS_pipeline

1

Add files via upload

rename and add kmax pooling module

prototype and self-attention model