code: def return_all(self, model):
      n_ = []
      h_ = []
      loss_ = []
      time_ = []
      for c in self.costs:
          if c.model == model:
              if c.loss < 1:
                  loss_.append(c.loss)
                  time_.append(c.time)
                  n_.append(c.n)
                  h_.append(c.h)
      return loss_, time_, n_, h_
  
file_path: vowpal_wabbit/demo/cats/utility/get_online_results.py
imports: import sys
  import getopt
  from confidence_interval import ConfidenceInterval
label_desc: Use image node_id 4 for calling the EvaluatorOnline obj's underlying member method code with example usage: obj.return_all(model) and returns: loss_,  time_,  n_,  h_