class_docstr: Temporary class for mimicking ParallelProcessing status.
class_docstr_tok: ["Temporary","class","for","mimicking","ParallelProcessing","status","."]
code: def __init__(self, lyr, __initialized__, __fitted__):
      self.__initialized__ = __initialized__
      self.__fitted__ = __fitted__
      self.layers = lyr
  
imports: import numpy
  from mlens.externals.sklearn.base import clone
  from mlens.utils.checks import check_ensemble_build, assert_valid_estimator, assert_correct_format, check_initialized
  from mlens.utils.dummy import OLS, Scale
  from mlens.testing import EstimatorContainer
  from mlens.utils.exceptions import LayerSpecificationError, LayerSpecificationWarning, NotFittedError, ParallelProcessingError, ParallelProcessingWarning
label_desc: Use image node_id 1 to create a new Tmp object from inherited base classes: object with example: obj = Tmp(lyr, __initialized__, __fitted__)