class_docstr: An ensemble that linearly combines submodel outputs.
class_docstr_tok: ["An","ensemble","that","linearly","combines","submodel","outputs","."]
code: def call(self, inputs):
      submodel_outputs = []
      for submodel in self.submodels:
          submodel_outputs.append(submodel(inputs))
      return self.dense(tf.stack(submodel_outputs))
  
file_path: adanet/adanet/experimental/keras/ensemble_model.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Sequence
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the WeightedEnsemble obj's underlying member method code with example usage: obj.call(inputs) and returns: self