Man pages for topepo/rsample
General Resampling Infrastructure
| apparent | Sampling for the Apparent Error Rate |
| as.data.frame.rsplit | Convert an 'rsplit' object to a data frame |
| attrition | Job Attrition |
| boot_ci_t | Bootstrap Confidence Intervals |
| bootstraps | Bootstrap Sampling |
| complement | Determine the Assessment Samples |
| fill | Add Assessment Indicies |
| form_pred | Extract Predictor Names from Formula or Terms |
| gather.rset | Gather an 'rset' Object |
| group_vfold_cv | Group V-Fold Cross-Validation |
| initial_split | Simple Training/Test Set Splitting |
| labels.rset | Find Labels from rset Object |
| labels.rsplit | Find Labels from rsplit Object |
| loo_cv | Leave-One-Out Cross-Validation |
| make_strata | Create or Modify Stratification Variables |
| mc_cv | Monte Carlo Cross-Validation |
| nested_cv | Nested or Double Resampling |
| prepper | Wrapper Function for Preparing Recipes |
| pretty.vfold_cv | Short Decriptions of rsets |
| rolling_origin | Rolling Origin Forecast Resampling |
| rsample | rsample: General Resampling Infrastructure for R |
| rsample2caret | Convert Resampling Objects to Other Formats |
| tidy.rsplit | Tidy Resampling Object |
| vfold_cv | V-Fold Cross-Validation |
