class_docstr: Temporary class
  
  Wrapper to get full estimator on no-args instantiation. For compatibility
  with older Scikit-learn versions.
code: def __init__(self):
      args = {
          LearnerEstimator: (OLS(), FullIndex()),
          LayerEnsemble: (
              make_group(FullIndex(), ESTIMATORS, PREPROCESSING),
          ),
          TransformerEstimator: (Scale(), FullIndex()),
      }[Est]
      super(Tmp, self).__init__(*args)
  
imports: import numpy
  from mlens.index import FullIndex, FoldIndex
  from mlens.testing import Data
  from mlens.testing.dummy import ESTIMATORS, PREPROCESSING
  from mlens.utils.dummy import OLS, Scale
  from mlens.utils.exceptions import NotFittedError, ParameterChangeWarning
  from mlens.parallel import make_group
  from mlens.estimators import LearnerEstimator, TransformerEstimator, LayerEnsemble
  from mlens.externals.sklearn.base import clone
label_desc: Use image node_id 1 to create a new Tmp object from inherited base classes: Est with example: obj = Tmp()