Fix t-SNE call for older sklearn (fallback without n_iter)

app.py

@@ -240,14 +240,18 @@ def plot_tsne(tech_filter, snr_filter, mod_filter, mob_filter, representation, c
         
         eff_perplexity = min(perplexity, len(sampled_df) - 1)
         eff_perplexity = max(5, eff_perplexity)
-        tsne = TSNE(
+        tsne_kwargs = dict(
             n_components=2,
             perplexity=eff_perplexity,
-            n_iter=n_iter,
             random_state=42,
             init="pca",
             learning_rate="auto",
         )
+        try:
+            tsne = TSNE(**tsne_kwargs, n_iter=n_iter)
+        except TypeError:
+            # Older sklearn variants may not accept n_iter; fall back to defaults.
+            tsne = TSNE(**tsne_kwargs)
         try:
             projections = tsne.fit_transform(features)
         except Exception as exc: