moabb.paradigms.FilterBankLeftRightImagery#
- class moabb.paradigms.FilterBankLeftRightImagery(filters=([8, 12], [12, 16], [16, 20], [20, 24], [24, 28], [28, 32]), events=None, tmin=0.0, tmax=None, baseline=None, channels=None, resample=None, scorer=None, overlap=None)[source]#
Filter Bank Motor Imagery for left hand/right hand classification.
Metric is ‘roc_auc’ by default
- Parameters:
filters (list of list (defaults ([8, 12], [12, 16], [16, 20], [20, 24], [24, 28], [28, 32]))) – bank of bandpass filter to apply.
- 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.
