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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.
The text was updated successfully, but these errors were encountered:
Jira Issue: PUBDEV-8871
Assignee: Michal Kurka
Reporter: Michal Kurka
State: Resolved
Fix Version: 3.40.0.1
Attachments: N/A
Development PRs: Available
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.
The text was updated successfully, but these errors were encountered: