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fixed Colab link in PatchTST tutorial nb
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oguiza committed Feb 21, 2023
1 parent 3a1b663 commit 40dec33
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8 changes: 4 additions & 4 deletions tutorial_nbs/15_PatchTST_a_new_transformer_for_LTSF.ipynb
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"id": "892a35dd",
"metadata": {},
"source": [
"<a href=\"https://colab.research.google.com/github/timeseriesAI/tsai/blob/master/tutorial_nbs/15_PatchTST_a_new_transformer_for_long_term_multivariate_forecasting.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
"<a href=\"https://colab.research.google.com/github/timeseriesAI/tsai/blob/master/tutorial_nbs/15_PatchTST_a_new_transformer_for_LTSF.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
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}
},
"cell_type": "markdown",
"id": "f9cddb27",
"id": "411a935d",
"metadata": {},
"source": [
"![download.png](attachment:download.png)"
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}
},
"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",
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}
},
"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",
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