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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 810.9 kB | noarch/r-mlr3tuning-1.4.0-r44hc72bb7e_1.conda  8 days and 19 hours ago 61 main
conda 811.3 kB | noarch/r-mlr3tuning-1.4.0-r45hc72bb7e_1.conda  8 days and 19 hours ago 61 main
conda 764.5 kB | noarch/r-mlr3tuning-1.4.0-r43hc72bb7e_0.conda  3 months and 15 days ago 301 main
conda 811.4 kB | noarch/r-mlr3tuning-1.4.0-r44hc72bb7e_0.conda  3 months and 15 days ago 295 main

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