🐛✨ Pick colors for selected

- for subselected models the colors were not reselected

project/01_2_performance_plots.ipynb

@@ -1373,7 +1373,8 @@
     "        rot=0,\n",
     "        ylabel=f\"{METRIC} for {feature_names.name} ({n_in_comparison:,} intensities)\",\n",
     "        # title=f'performance on test data (based on {n_in_comparison:,} measurements)',\n",
-    "        color=COLORS_TO_USE,\n",
+    "        color=vaep.plotting.defaults.assign_colors(\n",
+    "            list(k.upper() for k in SEL_MODELS)),\n",
     "        ax=ax,\n",
     "        width=.8)\n",
     "    ax = vaep.plotting.add_height_to_barplot(ax, size=5)\n",
@@ -1411,7 +1412,8 @@
     "        feat_medians=data.train_X.median(),\n",
     "        ax=ax,\n",
     "        metric_name=METRIC,\n",
-    "        palette=COLORS_TO_USE\n",
+    "        palette=vaep.plotting.defaults.assign_colors(\n",
+    "            list(k.upper() for k in SEL_MODELS))\n",
     "    )\n",
     "    ax.set_ylim(0, 1.5)\n",
     "    # for text in ax.legend().get_texts():\n",

project/01_2_performance_plots.py

@@ -716,7 +716,8 @@ def highlight_min(s, color, tolerence=0.00001):
         rot=0,
         ylabel=f"{METRIC} for {feature_names.name} ({n_in_comparison:,} intensities)",
         # title=f'performance on test data (based on {n_in_comparison:,} measurements)',
-        color=COLORS_TO_USE,
+        color=vaep.plotting.defaults.assign_colors(
+            list(k.upper() for k in SEL_MODELS)),
         ax=ax,
         width=.8)
     ax = vaep.plotting.add_height_to_barplot(ax, size=5)
@@ -748,7 +749,8 @@ def highlight_min(s, color, tolerence=0.00001):
         feat_medians=data.train_X.median(),
         ax=ax,
         metric_name=METRIC,
-        palette=COLORS_TO_USE
+        palette=vaep.plotting.defaults.assign_colors(
+            list(k.upper() for k in SEL_MODELS))
     )
     ax.set_ylim(0, 1.5)
     # for text in ax.legend().get_texts():