pyriemann.transfer.TLDummy¶
- class pyriemann.transfer.TLDummy¶
No transformation on data for transfer learning.
No transformation of the data points between the domains. This is what we call the Direct Center Transfer (DCT) method.
Notes
New in version 0.4.
- __init__()¶
- fit(X, y_enc)¶
Do nothing.
- Parameters
- Xndarray, shape (n_matrices, n_channels, n_channels)
Set of SPD matrices.
- y_encndarray, shape (n_matrices,)
Extended labels for each matrix.
- Returns
- selfTLDummy instance
The TLDummy instance.
- fit_transform(X, y_enc)¶
Do nothing.
- Parameters
- Xndarray, shape (n_matrices, n_channels, n_channels)
Set of SPD matrices.
- y_encndarray, shape (n_matrices,)
Extended labels for each matrix.
- Returns
- Xndarray, shape (n_matrices, n_classes)
Set of SPD matrices with mean in the Identity.
- get_params(deep=True)¶
Get parameters for this estimator.
- Parameters
- deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators.
- Returns
- paramsdict
Parameter names mapped to their values.
- set_params(**params)¶
Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as
Pipeline). The latter have parameters of the form<component>__<parameter>so that it’s possible to update each component of a nested object.- Parameters
- **paramsdict
Estimator parameters.
- Returns
- selfestimator instance
Estimator instance.
- transform(X, y_enc=None)¶
Do nothing.
- Parameters
- Xndarray, shape (n_matrices, n_channels, n_channels)
Set of SPD matrices.
- y_encNone
Not used, here for compatibility with sklearn API.
- Returns
- Xndarray, shape (n_matrices, n_classes)
Same set of SPD matrices as in the input.