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mlr3mbo 0.2.2

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@sumny sumny released this 01 Mar 16:06
· 3 commits to main since this release
47c66cf
  • refactor: compatibility with upcoming paradox upgrade.
  • feat: OptimizerMbo and TunerMbo now update the Surrogate a final time after the optimization process finished to
    ensure that the Surrogate correctly reflects the state of being trained on all data seen during optimization.
  • fix: AcqFunction domain construction now respects Surrogate cols_x field.
  • feat: support more than one candidate point as a result of acquisition function optimization even for
    non-batch acquisition functions.
  • feat: added default_gp and default_rf helpers that allow for construction of a default
    Gaussian Process and random forest as for example used within default_surrogate.
  • refactor: changed Gaussian Process and random forest defaults (in default_gp and default_rf and therefore also in
    default_surrogate). Gaussian Process now uses a "matern5_2" kernel. Random forest now uses 100 trees.
    The number of trees used in the fallback random forest was reduced to 10.