Update classification_model_monitor.py

classification_model_monitor.py

@@ -42,8 +42,8 @@ def get_adjusted_predictions(df):
         df = df.copy()
         df.reset_index(drop=True, inplace=True)
         df.loc[df['y_pred_proba']<CLASSIFIER_ADJUSTMENT_THRESHOLD, 'y_pred'] = 'NATION'
-        df.loc[(df['text'].str.contains('Pakistan')) & (df['y_pred'] == 'NATION'), 'y_pred'] = 'WORLD'
-        df.loc[(df['text'].str.contains('Zodiac Sign', case=False)) | (df['text'].str.contains('Horoscope', case=False)), 'y_pred'] = 'SCIENCE'
+        # df.loc[(df['text'].str.contains('Pakistan')) & (df['y_pred'] == 'NATION'), 'y_pred'] = 'WORLD'
+        # df.loc[(df['text'].str.contains('Zodiac Sign', case=False)) | (df['text'].str.contains('Horoscope', case=False)), 'y_pred'] = 'SCIENCE'
         logging.info("Exiting get_adjusted_predictions()")
         return df
     except Exception as e: