Evaluations

An evaluation defines how we go from trials per subject and session to a generalization statistic (AUC score, f-score, accuracy, etc) – it can be either within-recording-session accuracy, across-session within-subject accuracy, across-subject accuracy, or other transfer learning settings.

Evaluations

WithinSessionEvaluation([n_perms, data_size])	Performance evaluation within session (k-fold cross-validation)
CrossSessionEvaluation(paradigm[, datasets, ...])	Cross-session performance evaluation.
CrossSubjectEvaluation(paradigm[, datasets, ...])	Cross-subject evaluation performance.

Base & Utils

base.BaseEvaluation(paradigm[, datasets, ...])

Base class that defines necessary operations for an evaluation.