original_docstring: Runs a full experiment, spread over multiple iterations.
docstring: Runs a full experiment, spread over multiple iterations.
docstring_tokens: Runs a full experiment spread over multiple iterations .
code: def run_experiment(self):
      """Runs a full experiment, spread over multiple iterations."""
      tf.logging.info('Beginning training...')
      if self._num_iterations <= self._start_iteration:
        tf.logging.warning('num_iterations (%d) < start_iteration(%d)',
                           self._num_iterations, self._start_iteration)
        return
  
      for iteration in range(self._start_iteration, self._num_iterations):
        statistics = self._run_one_iteration(iteration)
        self._log_experiment(iteration, statistics)
        self._checkpoint_experiment(iteration)
code_tokens: def run_experiment ( self ) : tf . logging . info ( 'Beginning training...' ) if self . _num_iterations <= self . _start_iteration : tf . logging . warning ( 'num_iterations (%d) < start_iteration(%d)' , self . _num_iterations , self . _start_iteration ) return for iteration in range ( self . _start_iteration , self . _num_iterations ) : statistics = self . _run_one_iteration ( iteration ) self . _log_experiment ( iteration , statistics ) self . _checkpoint_experiment ( iteration )
short_docstring: Runs a full experiment, spread over multiple iterations.
short_docstring_tokens: Runs a full experiment spread over multiple iterations .
comment: """Runs a full experiment, spread over multiple iterations."""