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Implement various model architectures and options #1

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merged 17 commits into from
Mar 19, 2023
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Qianli-Wu
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Models:

  • cnn
  • cnn+rnn
  • cnn+transformer
  • transformer

Options:

  • model
  • runs
  • epoch
  • learning_rate
  • time
  • num_hdeas
  • patience
  • cnn_layers
  • transformer_layers
  • ensemble

Qianli-Wu and others added 17 commits March 16, 2023 13:08
TODO: combine `data_prep` and `CNN_Model`; Maybe use others models for Time series
Added `transformer_encoder`
Achieved 71% accuracy in using `transformer_encoder`
…ss, added rnn model in keras_model, added a comment in main
Split testing set by 9 subjects
Added Model ensembling
Added more running options, e.g. `model`, `ensemble`, `cnn_layers`
Updated .gitignore
Enabled accuracy for each subject in model ensembling
Refactored CNN+GRU+SimpleRNN model in `cnn_rnn_model`
Optimized code for model ensembling
Removed extra keras models
Updated directory and naming convention for saved models
@Qianli-Wu Qianli-Wu merged commit ce8b043 into main Mar 19, 2023
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2 participants