diff --git a/nbs/docs/tutorials/20_conformal_prediction.ipynb b/nbs/docs/tutorials/20_conformal_prediction.ipynb
index d64424743..105cfc03b 100644
--- a/nbs/docs/tutorials/20_conformal_prediction.ipynb
+++ b/nbs/docs/tutorials/20_conformal_prediction.ipynb
@@ -28,18 +28,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\ospra\\miniconda3\\envs\\neuralforecast\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n",
-      "2024-10-15 10:35:57,968\tINFO util.py:154 -- Missing packages: ['ipywidgets']. Run `pip install -U ipywidgets`, then restart the notebook server for rich notebook output.\n",
-      "2024-10-15 10:35:58,090\tINFO util.py:154 -- Missing packages: ['ipywidgets']. Run `pip install -U ipywidgets`, then restart the notebook server for rich notebook output.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import logging\n",
     "import os\n",
@@ -105,28 +94,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Seed set to 1\n",
-      "Seed set to 1\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 99: 100%|██████████| 1/1 [00:00<00:00, 44.93it/s, v_num=508, train_loss_step=0.138, train_loss_epoch=0.138] \n",
-      "Predicting DataLoader 0: 100%|██████████| 1/1 [00:00<00:00, 150.75it/s]\n",
-      "Epoch 99: 100%|██████████| 1/1 [00:00<00:00, 48.70it/s, v_num=510, train_loss_step=2.930, train_loss_epoch=2.930] \n",
-      "Predicting DataLoader 0: 100%|██████████| 1/1 [00:00<00:00, 32.97it/s]\n",
-      "Epoch 99: 100%|██████████| 1/1 [00:00<00:00, 49.39it/s, v_num=512, train_loss_step=0.106, train_loss_epoch=0.106] \n",
-      "Epoch 99: 100%|██████████| 1/1 [00:00<00:00, 48.55it/s, v_num=513, train_loss_step=3.220, train_loss_epoch=3.220] \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "horizon = 12\n",
     "input_size = 24\n",
@@ -152,16 +120,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Predicting DataLoader 0: 100%|██████████| 1/1 [00:00<00:00, 197.24it/s]\n",
-      "Predicting DataLoader 0: 100%|██████████| 1/1 [00:00<00:00, 194.88it/s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "preds = nf.predict(futr_df=AirPassengersPanel_test, level=[90])"
    ]