diff --git a/tutorial_nbs/15_PatchTST_a_new_transformer_for_LTSF.ipynb b/tutorial_nbs/15_PatchTST_a_new_transformer_for_LTSF.ipynb
index eb1a00590..958a70c7b 100644
--- a/tutorial_nbs/15_PatchTST_a_new_transformer_for_LTSF.ipynb
+++ b/tutorial_nbs/15_PatchTST_a_new_transformer_for_LTSF.ipynb
@@ -5,7 +5,7 @@
"id": "892a35dd",
"metadata": {},
"source": [
- ""
+ ""
]
},
{
@@ -51,7 +51,7 @@
}
},
"cell_type": "markdown",
- "id": "f9cddb27",
+ "id": "411a935d",
"metadata": {},
"source": [
"![download.png](attachment:download.png)"
@@ -1307,7 +1307,7 @@
}
},
"cell_type": "markdown",
- "id": "be46d87b",
+ "id": "ab3c17d2",
"metadata": {},
"source": [
"We'll approach the time series forecasting task as a supervised learning problem. Remember that `tsai` requires that both inputs and outputs have the following shape: \n",
@@ -1322,7 +1322,7 @@
}
},
"cell_type": "markdown",
- "id": "eba72560",
+ "id": "22cf3c01",
"metadata": {},
"source": [
"To get those inputs and outputs we're going to use a function called `prepare_forecasting_data` that applies a sliding window along the dataframe:\n",