class_docstr: Class to run multiple iterative algorithms and compare the results.
docstr: compute the wall clock of different algorithms
docstr_tok: ["compute","the","wall","clock","of","different","algorithms"]
code: def wall_clock_alg(self):
      """compute the wall clock of different algorithms"""
      clock_time_dict = {}
      for time_alg, name in zip(self.clock_time, self.names):
          clock_time_dict[name] = [time_alg]
      return clock_time_dict
  
imports: import time
  from my_logistic_regression import MyLogisticRegression
  import numpy
label_desc: Use image node_id 3 for calling the CompareAlgs obj's underlying member method code with example usage: obj.wall_clock_alg() and returns: clock_time_dict