Print running average of MACs to personalise.

orbit_challenge_getting_started.ipynb

@@ -257,7 +257,7 @@
     "        if (step+1) % data_queue.num_tasks == 0:\n",
     "            evaluator.set_current_user(task[\"task_id\"])\n",
     "            _,_,_,current_video_stats = evaluator.get_mean_stats(current_user=True)\n",
-    "            tqdm.write(f\"User {task['task_id']} ({evaluator.current_user+1}/{len(data_queue)}) {get_stats_str(current_video_stats)}, avg # context clips/task: {np.mean(num_context_clips_per_task):.0f}, avg # target clips/task: {np.mean(num_target_clips_per_task):.0f}\")\n",
+    "            tqdm.write(f\"User {task['task_id']} ({evaluator.current_user+1}/{len(data_queue)}) {get_stats_str(current_video_stats)}, avg MACs to personalise / task: {np.mean(evaluator.macs_counter)}, avg # context clips/task: {np.mean(num_context_clips_per_task):.0f}, avg # target clips/task: {np.mean(num_target_clips_per_task):.0f}\")\n",
     "            if (step+1) < num_test_tasks:\n",
     "                num_context_clips_per_task = []\n",
     "                num_target_clips_per_task = []\n",