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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-staging / r-mlr3tuning
Type Size Name Uploaded Downloads Labels
conda 417.4 kB | noarch/r-mlr3tuning-0.14.0-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1391 main
conda 411.1 kB | noarch/r-mlr3tuning-0.14.0-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1407 main
conda 411.5 kB | noarch/r-mlr3tuning-0.14.0-r40hc72bb7e_0.tar.bz2  2 years and 6 months ago 1608 main
conda 410.9 kB | noarch/r-mlr3tuning-0.14.0-r41hc72bb7e_0.tar.bz2  2 years and 6 months ago 1584 main

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