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TemporalFusionTransformer_Crypto
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- "id": "40d0c64c-1de1-47ed-aa66-7b28d9e8fd1f",
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- "metadata": {},
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- "outputs": [],
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- "source": [
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- "import pickle \n",
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- "import pandas as pd \n",
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- "import datetime"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 13,
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- "id": "5043d237-0287-4705-bfd5-73b880b36def",
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- "metadata": {},
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- "outputs": [],
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- "source": [
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- "df = pd.read_pickle('data/test_data.pkl')\n",
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- "df = df.loc[(df[\"Branch\"] == \"15\") & (df[\"Group\"].isin([\"6\",\"7\",\"4\",\"1\"]))]"
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- " sales DayInYear time_idx Wahl Baustelle MontagLangesWE \\\n",
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- "Timestamp('2023-06-26 00:00:00')"
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- "data": {
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- "Index(['sales', 'DayInYear', 'time_idx', 'Wahl', 'Baustelle', 'MontagLangesWE',\n",
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- " 'FreitagLangesWE', 'nosale', 'holiday', 'AufSommerzeit',\n",
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- " 'AufWinterzeit', 'Group', 'Branch', 'Weekday', 'Date',\n",
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- " 'MTXWTH_Day_precip', 'MTXWTH_Temp_max', 'MTXWTH_Temp_min', 'Start',\n",
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