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
class_docstr_tok: ["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"]
code: def __init__(self):
      pass
  
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 1 to create a new TLDummy object from inherited base classes: BaseEstimator, TransformerMixin with example: obj = TLDummy()