class_docstr: Contains the class for the Xcessiv stacked ensemble
code: def __init__(
      self,
      base_learners,
      meta_feature_generators,
      secondary_learner,
      cv_function,
  ):
      super(XcessivStackedEnsemble, self).__init__()
  
      self.base_learners = base_learners
      self.meta_feature_generators = meta_feature_generators
      self.secondary_learner = secondary_learner
      self.cv_function = cv_function
      self._named_learners = [
          ("bl{}".format(idx), base_learner)
          for idx, base_learner in enumerate(base_learners)
      ]
      self._named_learners.append(
          ("secondary-learner", secondary_learner)
      )
  
file_path: xcessiv/xcessiv/stacker.py
imports: import sklearn
  import numpy
label_desc: Use image node_id 1 to create a new XcessivStackedEnsemble object from inherited base classes: bp with example: obj = XcessivStackedEnsemble(base_learners, meta_feature_generators, secondary_learner, cv_function)