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##### DISSECT Training  #####
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### open command line (search for "cmd" and hit Enter)
### remember to adjust all paths according to your machine
set PYTHONPATH=%PYTHONPATH%;C:\Users\Fritz\Documents\Work\dissect\src   ## wo liegen die src files
G:
cd Dissertation/Reviews/JEP_LMC



### Semantic space: Transform into .pkl
### this one takes a few minutes
python C:\Users\Fritz\Documents\Work\dissect\src\pipelines\build_core_space.py  -i baroni2014 --input_format dm -o .  ### the "." means "here"

## output of first step: a file called "CORE_SS.baroni2014.pkl", which we are going to use in the subsequent steps

### Train the CAOSS model: CAOSS is "Full Additive"
python C:\Users\Fritz\Documents\Work\dissect\src\pipelines\train_composition.py -i baroni_trainset_clean_allin.txt -o . -m full_add --export_params True -a CORE_SS.baroni2014.pkl -p CORE_SS.baroni2014.pkl


### Apply the trained model
python C:\Users\Fritz\Documents\Work\dissect\src\pipelines\apply_composition.py -i to_compose_BURSC_compounds.txt --load_model TRAINED_COMP_MODEL.full_add.baroni_trainset_clean_allin.txt.pkl  -a CORE_SS.baroni2014.pkl -o . --output_format dm