class_docstr: An AdaNet model architecture.
  
  This data structure is the blueprint for reconstructing an AdaNet model. It
  contains not only information about the underlying Ensemble, but also the
  `adanet.subnetwork.Builder` instances that compose the ensemble, the
  `adanet.ensemble.Ensembler` that constructed it, as well as the sequence
  of states in the search space that led to the construction of this model.
  In addition, it stores `replay_indices` A list of indices (an index per
  boosting iteration); Holding the index of the ensemble in the candidate list
  throughout the run.
  
  It is serializable and deserializable for persistent storage.
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docstr: The ensembler's name.
  
  Returns:
    String name of the ensembler that constructed the ensemble.
docstr_tok: ["The","ensembler","'s","name",".","Returns",":","String","name","of","the","ensembler","that","constructed","the","ensemble","."]
code: def ensembler_name(self):
      """The ensembler's name.
  
      Returns:
        String name of the ensembler that constructed the ensemble.
      """
      return self._ensembler_name
  
file_path: adanet/adanet/core/architecture.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import json
label_desc: Use image node_id 3 for calling the _Architecture obj's underlying member method code with example usage: obj.ensembler_name() and returns: self