Try Different N Neighbours UMAP

app.py

@@ -56,6 +56,7 @@ class RelativeScaler(BaseEstimator, TransformerMixin):
 N_COMPONENTS = 3
 TSNE_NEIGHBOURS = 15
 # WEIGHT_FACTOR = 0.05
+N_NEIGHBOURS_UMAP = 50
 
 
 TOOLTIPS = """
@@ -583,7 +584,7 @@ def compute_global_regression(df_combined, embedding_cols, tsne_params, df_f1, r
             ("umap", umap.UMAP(
                 n_components=N_COMPONENTS,
                 random_state=42,
-                n_neighbors=15,
+                n_neighbors=N_NEIGHBOURS_UMAP,
                 min_dist=0.1,
                 metric='cosine'
             )),
@@ -1072,7 +1073,7 @@ def run_model(model_name):
                 ("umap", umap.UMAP(
                     n_components=N_COMPONENTS,
                     random_state=42,
-                    n_neighbors=15,
+                    n_neighbors=N_NEIGHBOURS_UMAP,
                     min_dist=0.1,
                     metric='cosine'
                 )),