Fixing bug

app.py

@@ -487,6 +487,8 @@ def compute_global_regression(df_combined, embedding_cols, tsne_params, df_f1, r
                          perplexity=tsne_params["perplexity"], 
                          learning_rate=tsne_params["learning_rate"])
     
+    nan_rows = df_combined[df_combined[embedding_cols].isnull().any(axis=1)]
+    print(nan_rows)
     reduced = reducer.fit_transform(df_combined[embedding_cols].values)
     # Guardamos el embedding completo (por ejemplo, 4 dimensiones en PCA)
     df_combined['embedding'] = list(reduced)