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Baseline scripts for AVEC 2019, Depression Detection Sub-challenge

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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



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Baseline scripts for AVEC 2019, Depression Detection Sub-challenge

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  • Python 93.9%
  • Shell 6.1%