moabb.paradigms.P300#

class moabb.paradigms.P300(fmin=1, fmax=24, events=None, tmin=0.0, tmax=None, baseline=None, channels=None, resample=None, ignore_relabelling=False, scorer=None)[source]#

P300 for Target/NonTarget classification.

Metric is ‘roc_auc’ by default

Parameters:

fmin (float (default 1)) – cutoff frequency (Hz) for the high pass filter.
fmax (float (default 24)) – cutoff frequency (Hz) for the low pass filter.
events (List of str (default ["Target", "NonTarget"])) – event to use for epoching.

property scoring#: Property that defines scoring metric (e.g. ROC-AUC or accuracy or f-score), given as a sklearn-compatible string or a compatible sklearn scorer.