class_docstr: An abstract ensemble strategy.
class_docstr_tok: ["An","abstract","ensemble","strategy","."]
docstr: Generates ensemble candidates to search over this iteration.
  
  Args:
    subnetwork_builders: Candidate :class:`adanet.subnetwork.Builder`
      instances for this iteration.
    previous_ensemble_subnetwork_builders: :class:`adanet.subnetwork.Builder`
      instances from the previous ensemble. Including only a subset of these
      in a returned :class:`adanet.ensemble.Candidate` is equivalent to
      pruning the previous ensemble.
  
  Returns:
    An iterable of :class:`adanet.ensemble.Candidate` instances to train and
    consider this iteration.
docstr_tok: ["Generates","ensemble","candidates","to","search","over","this","iteration",".","Args",":","subnetwork_builders",":","Candidate",":","class",":","`","adanet.subnetwork.Builder","`","instances","for","this","iteration",".","previous_ensemble_subnetwork_builders",":",":","class",":","`","adanet.subnetwork.Builder","`","instances","from","the","previous","ensemble",".","Including","only","a","subset","of","these","in","a","returned",":","class",":","`","adanet.ensemble.Candidate","`","is","equivalent","to","pruning","the","previous","ensemble",".","Returns",":","An","iterable","of",":","class",":","`","adanet.ensemble.Candidate","`","instances","to","train","and","consider","this","iteration","."]
code: def generate_ensemble_candidates(
      self, subnetwork_builders, previous_ensemble_subnetwork_builders
  ):
      """Generates ensemble candidates to search over this iteration.
  
      Args:
        subnetwork_builders: Candidate :class:`adanet.subnetwork.Builder`
          instances for this iteration.
        previous_ensemble_subnetwork_builders: :class:`adanet.subnetwork.Builder`
          instances from the previous ensemble. Including only a subset of these
          in a returned :class:`adanet.ensemble.Candidate` is equivalent to
          pruning the previous ensemble.
  
      Returns:
        An iterable of :class:`adanet.ensemble.Candidate` instances to train and
        consider this iteration.
      """
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import collections
  import six
label_desc: Use image node_id 1 for calling the Strategy obj's underlying member method code with example usage: obj.generate_ensemble_candidates(subnetwork_builders, previous_ensemble_subnetwork_builders) without return types