class_docstr: 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
  -----
  .. versionadded:: 0.4
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docstr: Do nothing.
  
  Parameters
  ----------
  X : ndarray, shape (n_matrices, n_channels, n_channels)
      Set of SPD matrices.
  y_enc : None
      Not used, here for compatibility with sklearn API.
  
  Returns
  -------
  X : ndarray, shape (n_matrices, n_classes)
      Same set of SPD matrices as in the input.
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code: def transform(self, X, y_enc=None):
      """Do nothing.
  
      Parameters
      ----------
      X : ndarray, shape (n_matrices, n_channels, n_channels)
          Set of SPD matrices.
      y_enc : None
          Not used, here for compatibility with sklearn API.
  
      Returns
      -------
      X : ndarray, shape (n_matrices, n_classes)
          Same set of SPD matrices as in the input.
      """
      return X
  
imports: import numpy
  from joblib import Parallel, delayed
  from sklearn.base import BaseEstimator, TransformerMixin, is_classifier, is_regressor
  from sklearn.pipeline import Pipeline
  from sklearn.metrics import accuracy_score, r2_score
  from ..utils.mean import mean_covariance, mean_riemann
  from ..utils.distance import distance
  from ..utils.base import invsqrtm, powm, sqrtm
  from ..utils.geodesic import geodesic
  from ..utils.utils import check_weights
  from ._rotate import _get_rotation_matrix
  from ..classification import MDM, _check_metric
  from ..preprocessing import Whitening
  from ._tools import decode_domains
label_desc: Use image node_id 3 for calling the TLDummy obj's underlying member method code with example usage: obj.transform(X, y_enc) and returns: X