class_docstr: Base class for instanes that stack job estimators
docstr: Get parameters for this estimator.
  
  Parameters
  ----------
  deep : boolean, optional
      whether to return nested parameters.
docstr_tok: ["Get","parameters","for","this","estimator",".","Parameters","--","--","--","--","--","deep",":","boolean",",","optional","whether","to","return","nested","parameters","."]
code: def get_params(self, deep=True):
      """Get parameters for this estimator.
  
      Parameters
      ----------
      deep : boolean, optional
          whether to return nested parameters.
      """
      out = super(BaseStacker, self).get_params(deep=deep)
      if not deep:
          return out
  
      for item in self.stack:
          out[item.name] = item
          for key, val in item.get_params(deep=True).items():
              out["%s__%s" % (item.name, key)] = val
      return out
  
imports: import warnings
  from abc import abstractmethod
  import numpy
  from ._base_functions import check_stack, check_params
  from ..None import config
  from ..utils.exceptions import ParallelProcessingError
  from ..externals.sklearn.base import clone, BaseEstimator
label_desc: Use image node_id 6 for calling the BaseStacker obj's underlying member method code with example usage: obj.get_params(deep) and returns: out, out