64 lines
1.1 KiB
Markdown
64 lines
1.1 KiB
Markdown
# Keyboard And Mouse Interactive Dataset
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# Neural Network
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## Train
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Set training parameters in train.sh
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Run `sh train.sh` to train the model
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## Test
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Run `sh test.sh` to run test on trained model
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Predictions are saved under `prediction/task$i$/`
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# Split Prediction
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Run `sh sampler_user.sh` to split prediction to 10% to 90%
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Run `sh sampler_single_act.sh` to split prediction individual action sequences.
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# Bayesian Inference
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Run inference to get results of intention prediction for all users and plot results
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```
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cd stan
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Rscript strategy_inference_test.R
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sh plot_user.sh
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```
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Run inference to get results of intention prediction (0% to 100%) for all users and plot results
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```
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Rscript strategy_inference_test_full_length.R
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sh plot_user_length_10_steps.sh
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```
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Run inference to get all action sequences (0% to 100%) of all users for intention prediction
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```
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Rscript strategy_inference_test_all_individual_act.R
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```
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Plot results of user intention prediction of all action sequences
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```
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sh plot_user_all_individual.sh
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```
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Plot the user intention prediction results (0% to 100%) of all action sequences
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```
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sh plot_user_length_10_steps_all_individual.sh
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