fixed plots

tools/plot_scripts/results_inference_timelines_exp_compare.py

@@ -260,11 +260,11 @@ def baseline_transform(clean: np.ndarray, other: np.ndarray, mode: str):
 
 
 def pick_method_series(gdf: pl.DataFrame, label: str) -> Optional[np.ndarray]:
-    if label == "DeepSAD (LeNet)":
+    if label == "DeepSAD LeNet":
         sel = gdf.filter(
             (pl.col("network") == "subter_LeNet") & (pl.col("model") == "deepsad")
         )
-    elif label == "DeepSAD (efficient)":
+    elif label == "DeepSAD Efficient":
         sel = gdf.filter(
             (pl.col("network") == "subter_efficient") & (pl.col("model") == "deepsad")
         )
@@ -311,8 +311,8 @@ def compare_two_experiments_progress(
     include_stats: bool = True,
 ):
     methods = [
-        "DeepSAD (LeNet)",
-        "DeepSAD (efficient)",
+        "DeepSAD LeNet",
+        "DeepSAD Efficient",
         "OCSVM",
         "Isolation Forest",
     ]
@@ -392,8 +392,8 @@ def compare_two_experiments_progress(
     axes = axes.ravel()
 
     method_to_axidx = {
-        "DeepSAD (LeNet)": 0,
-        "DeepSAD (efficient)": 1,
+        "DeepSAD LeNet": 0,
+        "DeepSAD Efficient": 1,
         "OCSVM": 2,
         "Isolation Forest": 3,
     }
@@ -404,6 +404,8 @@ def compare_two_experiments_progress(
     if not stats_available:
         print("[WARN] One or both stats missing. Subplots will include methods only.")
 
+    letters = ["a", "b", "c", "d"]
+
     for label, axidx in method_to_axidx.items():
         ax = axes[axidx]
         yc = curves_clean.get(label)
@@ -412,7 +414,7 @@ def compare_two_experiments_progress(
             ax.text(
                 0.5, 0.5, "No data", ha="center", va="center", transform=ax.transAxes
             )
-            ax.set_title(label)
+            ax.set_title(f"({letters[axidx]}) {label}")
             ax.grid(True, alpha=0.3)
             continue
 
@@ -435,6 +437,7 @@ def compare_two_experiments_progress(
         )
         ax.set_ylabel(y_label)
         ax.set_title(label)
+        ax.set_title(f"({letters[axidx]}) {label}")
         ax.grid(True, alpha=0.3)
 
         # Right axis #1 (closest to plot): Missing points (%)
@@ -550,11 +553,11 @@ def compare_two_experiments_progress(
     for ax in axes:
         ax.set_xlabel("Progress through experiment (%)")
 
-    fig.suptitle(
-        f"AD Method vs Stats Inference — progress-normalized\n"
-        f"Transform: z-score normalized to non-degraded experiment | EMA(α={EMA_ALPHA_METHODS})",
-        fontsize=14,
-    )
+    # fig.suptitle(
+    #     f"AD Method vs Stats Inference — progress-normalized\n"
+    #     f"Transform: z-score normalized to non-degraded experiment | EMA(α={EMA_ALPHA_METHODS})",
+    #     fontsize=14,
+    # )
     fig.tight_layout(rect=[0, 0, 1, 0.99])
 
     out_name = (