Allow base models have different training_frame in blending mode

[exalate-issue-sync]

It seems that base models in ensemble must have the same training_frame, but actually this is not required by blending mode. Adding this feature might increase diversity of base models.

[exalate-issue-sync]

Sebastien Poirier commented: Currently, there is just a validation when preparing the SE model ensuring that the training frame is same as for base models, this can be easily restricted to stacking mode.

[exalate-issue-sync]

Erin LeDell commented: [~accountid:5b153fb1b0d76456f36daced] In CV-model, we can also allow the training frames to have different columns (though they must have the same rows). It looks like this was already implemented here (but if so, i don’t know why we have this current ticket): [https://0xdata.atlassian.net/browse/PUBDEV-4679|https://0xdata.atlassian.net/browse/PUBDEV-4679|smart-link] so if not, it might make sense to add this at the same time.

[exalate-issue-sync]

Sebastien Poirier commented: [~accountid:557058:afd6e9a4-1891-4845-98ea-b5d34a2bc42c] there’s a difference

For both CV and blending, we require {{response_column}} to be present in all training frames.

For CV, we require only that all training frames have the same number of rows.

For blending, this last constraint is removed.

[h2o-ops]

JIRA Issue Migration Info

Jira Issue: PUBDEV-6494
Assignee: Sebastien Poirier
Reporter: Zhifeng Wang
State: Resolved
Fix Version: 3.26.0.8
Attachments: N/A
Development PRs: Available

Linked PRs from JIRA

#3910