Update 09_tabular to fastai v2.2.7 (#413)
saleElaped is now detected as continuous variable right away.
This commit is contained in:
@@ -1153,17 +1153,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"cont_nn.append('saleElapsed')\n",
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"cat_nn.remove('saleElapsed')"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_nn['saleElapsed'] = df_nn['saleElapsed'].astype(int)"
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"cont_nn"
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]
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},
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{
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@@ -1375,7 +1365,7 @@
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"1. What's a good type of plot for showing tree interpreter results?\n",
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"1. What is the \"extrapolation problem\"?\n",
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"1. How can you tell if your test or validation set is distributed in a different way than your training set?\n",
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"1. Why do we make `saleElapsed` a continuous variable, even although it has less than 9,000 distinct values?\n",
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"1. Why do we ensure `saleElapsed` is a continuous variable, even although it has less than 9,000 distinct values?\n",
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"1. What is \"boosting\"?\n",
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"1. How could we use embeddings with a random forest? Would we expect this to help?\n",
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"1. Why might we not always use a neural net for tabular modeling?"
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