class_docstr: Abstract base class for models.
  
  Args:
    params: A dictionary of hyperparameter values
    name: A name for this model to be used as a variable scope
class_docstr_tok: ["Abstract","base","class","for","models",".","Args",":","params",":","A","dictionary","of","hyperparameter","values","name",":","A","name","for","this","model","to","be","used","as","a","variable","scope"]
docstr: Subclasses should implement this method. See the `model_fn` documentation
  in tf.contrib.learn.Estimator class for a more detailed explanation.
docstr_tok: ["Subclasses","should","implement","this","method",".","See","the","`","model_fn","`","documentation","in","tf.contrib.learn.Estimator","class","for","a","more","detailed","explanation","."]
code: def _build(self, features, labels, params):
      """Subclasses should implement this method. See the `model_fn` documentation
      in tf.contrib.learn.Estimator class for a more detailed explanation.
      """
      raise NotImplementedError
  
file_path: seq2seq/seq2seq/models/model_base.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import collections
  import tensorflow
  from seq2seq.configurable import Configurable
  from seq2seq.training import utils
  from seq2seq import global_vars
label_desc: Use image node_id 8 for calling the ModelBase obj's underlying member method code with example usage: obj._build(features, labels, params) without return types