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Implements methods for hyperparameter tuning with 'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.

copied from cf-post-staging / r-mlr3tuning
Type Size Name Uploaded Downloads Labels
conda 473.1 kB | noarch/r-mlr3tuning-0.18.0-r42hc72bb7e_1.conda  2 years and 3 months ago 1421 main
conda 472.7 kB | noarch/r-mlr3tuning-0.18.0-r43hc72bb7e_1.conda  2 years and 3 months ago 1412 main
conda 465.4 kB | noarch/r-mlr3tuning-0.18.0-r41hc72bb7e_0.conda  2 years and 6 months ago 1694 main
conda 472.9 kB | noarch/r-mlr3tuning-0.18.0-r42hc72bb7e_0.conda  2 years and 6 months ago 1690 main

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