class_docstr: Produces a model composed of a single subnetwork.
  
  *An ensemble of one.*
  
  This is effectively the same as pruning all previous ensemble subnetworks,
  and only adding one subnetwork candidate to the ensemble.
class_docstr_tok: ["Produces","a","model","composed","of","a","single","subnetwork",".","*","An","ensemble","of","one",".","*","This","is","effectively","the","same","as","pruning","all","previous","ensemble","subnetworks",",","and","only","adding","one","subnetwork","candidate","to","the","ensemble","."]
code: def generate_ensemble_candidates(
      self, subnetwork_builders, previous_ensemble_subnetwork_builders
  ):
      return [
          Candidate(
              "{}_solo".format(subnetwork_builder.name),
              [subnetwork_builder],
              None,
          )
          for subnetwork_builder in subnetwork_builders
      ]
  
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 SoloStrategy obj's underlying member method code with example usage: obj.generate_ensemble_candidates(subnetwork_builders, previous_ensemble_subnetwork_builders) and returns: unknown