8000 Presets for choosing base_learners to create stacked ensembles · Issue #56 · reiinakano/xcessiv · GitHub
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Presets for choosing base_learners to create stacked ensembles #56
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@robertmartin8

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@robertmartin8

Let me preface this feature request by saying that I absolutely love this project, and would be happy to contribute however I can.

As implied by the title, I think it would be great if there were some preset options (other than Automated Ensemble Search) in creating stacked ensembles from the existing list of base_learners. Some suggestions:

  • Create ensemble from the k best (as defined by any of the chosen metrics) base_learners
  • Create ensemble from the k best base_learners per base_learner type. e.g the 3 best XGBoost classifiers, the 3 best RF classifiers, etc.
  • Random ensemble creation

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