This folder contains all the hyperparameter tuning functions. Bayesian optimization (bayesopt) was used to tune the hyperparameters.
All of the create*HyperparamSearchRange functions define the hyperparameters and their search ranges for each classifier. These files save the parameters as a mat file, which is loaded later during hyperparameter tuning.
There are three different hyperparameter tuning functions, one for each of the algorithm types:
- feature engineering methods:
tuneHyperparamsRowFeatureMethod - 1D CNNs:
tuneHyperparamsRowDataMethod - 2D CNNs:
tuneHyperparamsImageMethod
validationObjFcn is the objective function that is passed to bayesopt.