Provide Features

app.py

@@ -602,7 +602,8 @@ def compute_global_regression(df_combined, embedding_cols, tsne_params, df_f1, r
     #         silhouette = -1
 
         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 = [col for col in df_heat.columns if col != "name"]
+        feature_options = ["grades", "table_pos", "v_density", "v_info_blocks", "layout", "columns", "table_grid", "header_badge"]
         
         silhouette_vals = []
         for feature in feature_options: