add random state to recommender

pages/clustering.py

@@ -248,6 +248,7 @@ def plot_rfm_distribution(df_rfm: pd.DataFrame, cluster_info: Dict[str, List[int
         # Add vertical bar on each cluster end. But skip the last cluster.
         loop_range = list(enumerate(range(1, len(values)-1, 2)))
         if to_reverse:
+            # @todo: remove hardcoded values
             loop_range = zip((2, 1), range(len(values)-1, 1, -2))
         for n_cluster, i in loop_range:
             print(x)

recommender_system.py

@@ -69,6 +69,7 @@ def create_and_fit_recommender(
             factors=190,
             alpha=0.6,
             regularization=0.06,
+            random_state=42,
         ),
     )
     return recommender