class_docstr: Class for evaluation of minibatches against the specified evaluation function.
  
  Args:
     eval_function (:class:`~cntk.ops.functions.Function`): evaluation function.
     progress_writers (list): optionally, list of progress writers from :mod:`cntk.utils` to track
       training progress.
class_docstr_tok: ["Class","for","evaluation","of","minibatches","against","the","specified","evaluation","function",".","Args",":","eval_function","(",":","class",":","`","~cntk.ops.functions.Function","`",")",":","evaluation","function",".","progress_writers","(","list",")",":","optionally",",","list","of","progress","writers","from",":","mod",":","`","cntk.utils","`","to","track","training","progress","."]
docstr: Updates the progress writers with the summary of test progress since start and resets the internal
  accumulators.
docstr_tok: ["Updates","the","progress","writers","with","the","summary","of","test","progress","since","start","and","resets","the","internal","accumulators","."]
code: def summarize_test_progress(self):
      """
      Updates the progress writers with the summary of test progress since start and resets the internal
      accumulators.
      """
      return super(Evaluator, self).summarize_test_progress()
  
file_path: CNTK/bindings/python/cntk/eval/evaluator.py
imports: from ..None import cntk_py
  from ..device import use_default_device
  from cntk.internal import sanitize_var_map, sanitize_function, typemap
  from ..io import MinibatchData
label_desc: Use image node_id 4 for calling the Evaluator obj's underlying member method code with example usage: obj.summarize_test_progress() and returns: super