Limiting fraud dataset to speed up doc builds #1646
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@@ Coverage Diff @@
## main #1646 +/- ##
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Coverage 100.0% 100.0%
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Files 240 240
Lines 18270 18270
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Hits 18262 18262
Misses 8 8 Continue to review full report at Codecov.
|
bchen1116
requested review from
dsherry,
angela97lin,
jeremyliweishih,
chukarsten,
freddyaboulton and
ParthivNaresh
and removed request for
dsherry,
angela97lin,
jeremyliweishih,
chukarsten,
freddyaboulton and
ParthivNaresh
freddyaboulton
approved these changes
Jan 5, 2021
dsherry
approved these changes
Jan 5, 2021
| @@ -58,7 +58,7 @@ | |||
| "source": [ | |||
| "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