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": [ - "\"Open" + "\"Open" ] }, { @@ -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",