Update run.py

machine_learning/forecasting/run.py

@@ -13,7 +13,6 @@
 
 from warnings import simplefilter
 
-import logging
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
@@ -22,9 +21,6 @@
 from sklearn.svm import SVR
 from statsmodels.tsa.statespace.sarimax import SARIMAX
 
-logging.basicConfig(level=logging.Info)
-logger = logging.getLogger(__name__)
-
 
 def linear_regression_prediction(
     train_dt: list, train_usr: list, train_mtch: list, test_dt: list, test_mtch: list
@@ -205,6 +201,6 @@ def plot_forecast(actual, predictions):
 
     # check the safety of today's data
     not_str = "" if data_safety_checker(res_vote, test_user[0]) else "not "
-    logger.info(f"Today's data is {not_str}safe.")
+    print(f"Today's data is {not_str}safe.")
 
     plot_forecast(train_user, res_vote)