class_docstr: Helpfer function to run different algorithms and store the results
class_docstr_tok: ["Helpfer","function","to","run","different","algorithms","and","store","the","results"]
code: def __init__(self, compare_algs, algs_dict, num_rep=10):
      self.compare_algs = compare_algs
      self.algs_dict = algs_dict
      self.num_rep = num_rep
      self.losses = 0
      self.gradnorm = 0
      self.accuracy = 0
      self.wall_clock = 0
  
file_path: privacy/research/dp_newton/src/run.py
imports: import argparse
  import json
  from dataset_loader import Mydatasets
  from my_logistic_regression import MyLogisticRegression
  import numpy
  from opt_algs import CompareAlgs, DoubleNoiseMech, gd_priv, private_newton
  from scipy.optimize import fsolve
label_desc: Use image node_id 1 to create a new RunReleaseStats object  with example: obj = RunReleaseStats(compare_algs, algs_dict, num_rep)