AutoML experiment/benchmark with various SE metalearners (algo, params) to see if current can be improved

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AutoML experiment/benchmark with various SE metalearners (algo, params) to see if current can be improved #8067

Open exalate-issue-sync[bot] opened 1 year ago

exalate-issue-sync[bot] commented 1 year ago

AutoML is currently using default AUTO SE config for all its SE models. We need to investigate if this is always the best choice, for example if a different metalearner algo could be picked in some situations.

Note: the monotonic SE is also currently using the AUTO metalearner. If others SE metalearners could be chosen dynamically, this is not the case for the monotonic one, which should always remain the SE AUTO (more exactly, non-negative GLM).

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-7571 Assignee: UNASSIGNED Reporter: Sebastien Poirier State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A