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If a dataset has highly correlated columns and monotonicity constraints are used on one of them, independent attempts to build the same model with identical parameters can lead to slightly different models. This is caused by non-determinism in histogram building - this non-determinism is compensated for split points but monotone constraints are not leveraging the same mechanism.
The solution is to avoid any non-determinism when monotone constraints are used.
The text was updated successfully, but these errors were encountered:
Jira Issue: PUBDEV-8250
Assignee: Michal Kurka
Reporter: Michal Kurka
State: Resolved
Fix Version: 3.32.1.5
Attachments: N/A
Development PRs: Available
If a dataset has highly correlated columns and monotonicity constraints are used on one of them, independent attempts to build the same model with identical parameters can lead to slightly different models. This is caused by non-determinism in histogram building - this non-determinism is compensated for split points but monotone constraints are not leveraging the same mechanism.
The solution is to avoid any non-determinism when monotone constraints are used.
The text was updated successfully, but these errors were encountered: