GitHub - Grace-JingXiao/Avec2019_DDS: Baseline scripts for AVEC 2019, Depression Detection Sub-challenge

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Baseline scripts for AVEC 2019, Depression Detection Sub-challenge

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
HowToUse.txt		HowToUse.txt
README.txt		README.txt
create_datasets.py		create_datasets.py
define_models.py		define_models.py
evaluate_submission.py		evaluate_submission.py
fusion.py		fusion.py
preprocess.py		preprocess.py
run.sh		run.sh
train_models.py		train_models.py

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Baseline Scripts


train_models.py: Trains and validates the model

define_models.py: Defines the model(1-layer 64-d GRU)

create_datasets.py: Handles data loaders

fusion.py: Finds the fusion predictions by taking mean of the regression scores

evaluate_submission.py: Reads submission file to compute score

preprocess.py: Preprocesses all feature files to generate .npy files per data point per feature

run.sh: Runs train_models.py for all feature sets with the required parameters