An 'mlr3' extension that provides various resampling-based confidence interval (CI) methods for estimating the generalization error. These CI methods are implemented as 'mlr3' measures, enabling the evaluation of individual algorithms on specific tasks as well as the comparison of different learning algorithms.
copied from cf-post-staging / r-mlr3inferr
https://anaconda.org/conda-forge/r-mlr3inferr/badges/version.svg
https://anaconda.org/conda-forge/r-mlr3inferr/badges/latest_release_date.svg
https://anaconda.org/conda-forge/r-mlr3inferr/badges/latest_release_relative_date.svg
https://anaconda.org/conda-forge/r-mlr3inferr/badges/platforms.svg
https://anaconda.org/conda-forge/r-mlr3inferr/badges/license.svg
https://anaconda.org/conda-forge/r-mlr3inferr/badges/downloads.svg