Adhering to PEP8 guidelines

.flake8

@@ -1,3 +1,3 @@
 [flake8]
-exclude = __pycache__,.pytest_cache,.venv,venv
+exclude = __pycache__,.venv,.venv2,v6_logistic_regression_py.egg-info
 max-line-length = 80

README.md

@@ -29,6 +29,7 @@ input_ = {
         'org_ids': [2, 3],          # organisations to run algorithm
         'predictors': ['c1', 'c2'], # columns to be used as predictors
         'outcome': 'outcome',       # column to be used as outcome
+        'classes': [0, 1],          # classes to be predicted
         'max_iter': 15,             # maximum number of iterations to perform
         'delta': 0.01,              # threshold loss difference for convergence
     }

v6_logistic_regression_py/__init__.py

@@ -67,6 +67,7 @@ def master(
     # The next steps are run until the maximum number of iterations or
     # convergence is reached
     iteration = 0
+    loss = None
     loss_diff = 2*delta
     while (iteration < max_iter) and (loss_diff > delta):
         # The input for the partial algorithm

v6_logistic_regression_py/example.py

@@ -3,8 +3,6 @@
 """ Sample code to test the federated algorithm with a mock client
 """
 import os
-import numpy as np
-from sklearn.linear_model import LogisticRegression
 from vantage6.tools.mock_client import ClientMockProtocol