Resampling Algorithms for 'mlr3' Framework
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Documentation for package ‘mlr3resampling’ version 2026.5.19
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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 |
| pvalue_downsample | P-values for full versus down-sampled SOAK results |
| ResamplingSameOtherSizesCV | Resampling for comparing train subsets and sizes |
| score | Score benchmark results |