updates

utils/clustering_utils.py

@@ -150,7 +150,8 @@ def clustering_author(background_corpus_df: pd.DataFrame,
 
     if eps_values is None:
         if metric == 'cosine':
-            eps_values = [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
+            #eps_values = [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
+            eps_values = np.arange(0.01, 0.3, 0.01)
         else: # 'euclidean' or other
             if X.shape[0] > 1:
                 # For Euclidean, eps depends on the scale of the data.