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Allow to disable "full h2o scoring" in XGBoost and only use eval_metric #6902

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exalate-issue-sync bot opened this issue May 11, 2023 · 2 comments
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@exalate-issue-sync
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The goal of this Jira is to speed-up model training by disabling H2O scoring and rely only on evaluation_metric calculated by XGBoost. H2O scoring has overhead because the booster needs to be extracted from XGBoost, parsed and the dataset independently scored.

We will add option {{score_eval_metric_only}} that will disable the H2O scoring only and generate scoring history with eval_metric. It is important to still be able to use early stopping on the eval metric.

@h2o-ops
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h2o-ops commented May 14, 2023

JIRA Issue Details

Jira Issue: PUBDEV-8871
Assignee: Michal Kurka
Reporter: Michal Kurka
State: Resolved
Fix Version: 3.40.0.1
Attachments: N/A
Development PRs: Available

@h2o-ops
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h2o-ops commented May 14, 2023

Linked PRs from JIRA

#6364

@h2o-ops h2o-ops closed this as completed May 14, 2023
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