Require score_tree_interval to be set when seed is set for Decision Tree Algorithms

[exalate-issue-sync]

When a user sets a seed when training a GBM or Random Forest model, we can assume they would like to be able to reproduce the model. If, however, they use early stopping with no score_tree_interval set, the model will not be reproducible.

Add a requirement that the score_tree_interval must be set if the seed is set to ensure the user creates a reproducible model.

[exalate-issue-sync]

Michal Kurka commented: In this Jira we will introduce a warning, we can introduce a stricter check if the warning would prove ineffective. [https://github.com//pull/5447#issuecomment-821259860|https://github.com//pull/5447#issuecomment-821259860]

[h2o-ops]

JIRA Issue Migration Info

Jira Issue: PUBDEV-6249
Assignee: Michal Kurka
Reporter: Megan Kurka
State: Resolved
Fix Version: 3.32.1.2
Attachments: N/A
Development PRs: Available

Linked PRs from JIRA

#5447