class_docstr: Benchmark NCF model using real data.
docstr: Run test and report results.
  
  Note: MLPerf like tests are not tuned to hit a specific hr@10 value, but
  we want it recorded.
docstr_tok: ["Run","test","and","report","results",".","Note",":","MLPerf","like","tests","are","not","tuned","to","hit","a","specific","hr","@","10","value",",","but","we","want","it","recorded","."]
code: def _run_and_report_benchmark_mlperf_like(self):
      """Run test and report results.
  
      Note: MLPerf like tests are not tuned to hit a specific hr@10 value, but
      we want it recorded.
      """
      self._run_and_report_benchmark(hr_at_10_min=0.61)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import time
  from absl import flags
  from absl.testing import flagsaver
  import tensorflow
  from utils import benchmark_wrappers
  from utils.recommendation import ncf_common
  from utils.recommendation import ncf_keras_main
  from utils.flags import core
label_desc: Use image node_id 2 for calling the NCFKerasAccuracy obj's underlying member method code with example usage: obj._run_and_report_benchmark_mlperf_like() without return types