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Updated pinned versions of prepackaged servers #2399
Updated pinned versions of prepackaged servers #2399
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/test integration |
[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: The full list of commands accepted by this bot can be found here.
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Tue Sep 8 12:48:57 UTC 2020 impatient try |
Tue Sep 8 12:48:57 UTC 2020 impatient try |
Tue Sep 8 12:49:23 UTC 2020 impatient try |
/test integration |
Tue Sep 8 14:54:02 UTC 2020 impatient try |
Tue Sep 8 15:30:08 UTC 2020 impatient try |
Tue Sep 8 15:30:11 UTC 2020 impatient try |
/test integration |
Tue Sep 8 20:25:44 UTC 2020 impatient try |
Tue Sep 8 21:02:32 UTC 2020 impatient try |
Tue Sep 8 21:02:34 UTC 2020 impatient try |
/test integration |
Tue Sep 8 21:05:17 UTC 2020 impatient try |
Seems only failing test is a flaky one (rolling update), should be ready for review /test integration |
Wed Sep 9 05:52:17 UTC 2020 impatient try |
/test integration |
Thu Sep 10 15:07:28 UTC 2020 impatient try |
Thu Sep 10 15:07:30 UTC 2020 impatient try |
Thu Sep 10 15:09:03 UTC 2020 impatient try |
/test this |
Fri Sep 11 09:47:50 UTC 2020 impatient try |
@cliveseldon I've now updated xgboost to 1.2 - should be good to go |
doc/source/servers/xgboost.md
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* The model must be named `model.bst` | ||
* You must save your model using `bst.save_model(file_path)` | ||
* The model is loaded with `xgb.Booster(model_file=model_file)` | ||
* Dependencies (otherwise it may not work): | ||
+ scikit-learn == 0.20.3 |
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Do we need scikit-learn
for the XGBoost server?
Fri Sep 11 15:50:20 UTC 2020 impatient try |
Fri Sep 11 15:50:22 UTC 2020 impatient try |
Thu Sep 17 09:26:19 UTC 2020 impatient try |
Thu Sep 17 09:26:22 UTC 2020 impatient try |
Fixes #2065