HDforEpilepsyPublic/2b1daae08e54master
HDforEpilepsyPublic/
2b1daae08e54master
/
/
README.md
README.md
PYTHON files description
Script_runAllApproaches.py Script that based on parameters set runs training and testing of specific HD features model
- it is possible to choose between two different databases and which patients to use
- it can perform personalized or generalized training
- personalized is for each subject performing leave one seizure out and training on the rest of seizures
- generalized requires to define CViterations_testSubj variable - which determines CV iterations and which subjects are in test set (all others are in training)
- outputs prediction labels for each input file with saved original predictions, and predictions after two sets of labels postprocessing (smoothing) and also true labels
- by analysing and plotting this labes many things can be analized
- plots performances in dependence of performance measures and amount of postprocessing
Script_compareApproaches.py Script that:
- meausres number of seizure per subjects for databases
- compares different approaches in terms of performance and plots comparison
- meausures time for calculation for different approaches
- plots time and memory requirements for different approaches
HdfunctionsLib.py library with different functions on HD vectors, uses torch library
VariousFunctionsLib.py library including various functions for HD project but not necessarily related to HD vectors
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