pyriemann_qiskit.utils.transfer.Adapter

class pyriemann_qiskit.utils.transfer.Adapter(preprocessing, estimator)

Meta-estimator bridging MOABB’s evaluation interface with pyriemann TL pipelines.

Handles preprocessing (raw → covariances), domain encoding, and target-domain propagation, then delegates to a plain pyriemann TL estimator.

Parameters:

• preprocessing (sklearn transformer) – Transforms raw input into covariance matrices.

• estimator (sklearn estimator) – Any pyriemann TL-compatible estimator (e.g. a pipeline of TLCenter/TLScale/TLRotate/TLClassifier, or MDWM) constructed with target_domain=None. The actual value is injected via set_params at fit time from TLCrossSubjectEvaluation.

__init__(preprocessing, estimator)

Examples using pyriemann_qiskit.utils.transfer.Adapter

Toy dataset ablation study — NCH vs MDM with/without Transfer Learning

Toy dataset ablation study — NCH vs MDM with/without Transfer Learning