LearnAPI.jl
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  • Anatomy of an Implementation
    • Overview
    • Public Names
    • Kinds of learner
    • fit/update
    • predict/transform
    • Kinds of Target Proxy
    • obs and Data Interfaces
    • features/target/weights
    • Accessor Functions
    • Learner Traits
  • Common Implementation Patterns
  • Testing an Implementation
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  • Ensembling
  • Ensembling
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Ensembling

See these examples from the JuliaTestAPI.jl test suite:

  • bagged ensembling of a regression model

  • extremely randomized ensemble of decision stumps (regression)

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