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  1. Public H2O 3
  2. PUBDEV-3743

StackedEnsemble should allow user to pass in metalearner type and parameters

    Details

    • Type: Improvement
    • Status: Open
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: StackedEnsemble
    • Labels:
      None
    • CustomerVisible:
      Yes

      Description

      Currently the metalearner is hardcoded as a default H2O GLM with non-negative weights. (`non_negative = TRUE`)

      We need to add a `metalearner` argument to allow customization of the metalearning algorithm.

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            • Assignee:
              rpeck Raymond Peck
              Reporter:
              rpeck Raymond Peck
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              • Created:
                Updated:

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