Test

app.py

@@ -603,11 +603,11 @@ def compute_global_regression(df_combined, embedding_cols, tsne_params, df_f1, r
 
         df_heat = pd.read_csv(f"data/heatmaps_idefics2-patient.csv")
         # feature_options = [col for col in df_heat.columns if col != "name"]
-        feature_options = ["grades", "table_pos", "v_density", "v_info_blocks", "layout", "columns"]
+        # feature_options = ["grades", "table_pos", "v_density", "v_info_blocks", "layout", "columns"]
+        feature_options = ["v_density"]
         
         silhouette_vals = []
         for feature in feature_options:
-            print(feature)
             labels = df_heat[feature].values
             silhouette = silhouette_score(reduced_real, labels)
             silhouette_vals.append(silhouette)