class_docstr: An `adanet.Builder` from a :class:`tf.estimator.Estimator`.
class_docstr_tok: ["An","`","adanet.Builder","`","from","a",":","class",":","`","tf.estimator.Estimator","`","."]
code: def __init__(
      self, name, subestimator, logits_fn, last_layer_fn, config
  ):
      self._name = name
      self._subestimator = subestimator
      self._logits_fn = logits_fn
      self._last_layer_fn = last_layer_fn
      self._config = config
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import inspect
  from adanet import subnetwork
  from adanet import tf_compat
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new _BuilderFromSubestimator object from inherited base classes: subnetwork_lib with example: obj = _BuilderFromSubestimator(name, subestimator, logits_fn, last_layer_fn, config)