Resampling Algorithms for 'mlr3' Framework


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Documentation for package ‘mlr3resampling’ version 2025.11.19

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AutoTunerTorch_epochs Learner classes with special methods
AZtrees Arizona Trees
LearnerClassifCVGlmnetSave Learner classes with special methods
LearnerRegrCVGlmnetSave Learner classes with special methods
proj_compute Compute resampling results in a project
proj_compute_all Compute several resampling jobs
proj_compute_mpi Compute several resampling jobs
proj_fread Combine and save results in a project
proj_grid Initialize a new project grid table
proj_results Combine and save results in a project
proj_results_save Combine and save results in a project
proj_submit Compute several resampling jobs
proj_test Test a project with smaller data and fewer resampling iterations
proj_todo Compute several resampling jobs
pvalue P-values for comparing Same/Other/All training
ResamplingSameOtherCV Resampling for comparing training on same or other subsets
ResamplingSameOtherSizesCV Resampling for comparing train subsets and sizes
ResamplingVariableSizeTrainCV Resampling for comparing training on same or other groups
score Score benchmark results