my_experiment.yaml

dataset:
  name : my_dataset
  module : physioex.data.shhs.shhs # this is the module containing your own designed dataset
  class: SHHS # this is the class name of your dataset, must extend PhysioExDataset (physioex.data.base)
experiment:
  name : my_experiment
  module : physioex.train.networks.chambon2018 # this is the module containing your own designed model
  class: Chambon2018Net # this is the class name of your model, must extend SleepModule (physioex.train.networks.base)
  module_config : # this is the argument passed to your model constructor 
    n_classes: 5 # mandatory
    sfreq: 100  
    n_times: 3000
  input_transform : raw # raw or xsleepnet supported
  target_transform : # can be None if your model classifies sequences of epochs
    module : physioex.train.networks.utils.target_transform # this is the module containing your own designed target transform function, can be the same as the model module
    function : get_mid_label # in this case the sequence in output is transformed in a single label taking the middle value