initial framework; to be extended

scripts/compare_embeddings.py

@@ -1,8 +1,7 @@
 #!/usr/bin/env python3
 """
-Compares two latent embedding matrices (e.g., CTRL vs EED-i),
-computes similarity metrics (cosine, Euclidean, L1),
-and saves both a CSV and an optional line plot.
+Compares two latent embedding matrices,
+computes similarity metrics (cosine, Euclidean, L1)
 
 Usage:
   python scripts/compare_embeddings_general.py \
@@ -45,7 +44,7 @@ def main():
     p.add_argument("--no-plot", action="store_true", help="Skip generating the plot")
     args = p.parse_args()
 
-    # ---- Load ----
+    # Load
     emb1 = np.load(args.emb1)
     emb2 = np.load(args.emb2)
     if emb1.shape != emb2.shape:
@@ -55,7 +54,7 @@ def main():
     n_bins, n_dim = emb1.shape
     print(f"Loaded embeddings: {n_bins} bins × {n_dim} dims")
 
-    # ---- Compute metrics ----
+    # Compute metrics 
     cos_sims, cos_dists, l2_dists, l1_dists = compute_metrics(emb1, emb2)
 
     df = pd.DataFrame({
@@ -69,7 +68,7 @@ def main():
     df.to_csv(csv_path, index=False)
     print(f"Saved metrics → {csv_path}")
 
-    # ---- Plot ----
+    # Plot
     if not args.no_plot:
         plt.figure(figsize=(12, 4))
         plt.plot(df["bin_id"], df["cosine_distance"], lw=0.8, color="steelblue")