Limiting fraud dataset to speed up doc builds#1646
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bchen1116
requested review from
ParthivNaresh,
angela97lin,
chukarsten,
dsherry,
freddyaboulton and
jeremyliweishih
and removed request for
ParthivNaresh,
angela97lin,
chukarsten,
dsherry,
freddyaboulton and
jeremyliweishih
January 5, 2021 20:55
freddyaboulton
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Jan 5, 2021
freddyaboulton
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Thanks @bchen1116 !!
dsherry
approved these changes
Jan 5, 2021
| "import evalml\n", | ||
| "from evalml.utils import infer_feature_types\n", | ||
| "X, y = evalml.demos.load_fraud(return_pandas=True)\n", | ||
| "X, y = evalml.demos.load_fraud(n_rows=1000, return_pandas=True)\n", |
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Testing to see whether or not limiting the fraud dataset will cause the doc builds to pass
Notebook builds passed here and here, and doc example is here