.get_fingerprint | Obtain a identifier for the resamples |
.get_fingerprint.default | Obtain a identifier for the resamples |
.get_fingerprint.rset | Obtain a identifier for the resamples |
add_resample_id | Augment a data set with resampling identifiers |
analysis | Convert an 'rsplit' object to a data frame |
apparent | Sampling for the Apparent Error Rate |
as.data.frame.rsplit | Convert an 'rsplit' object to a data frame |
assessment | Convert an 'rsplit' object to a data frame |
bootstraps | Bootstrap Sampling |
caret2rsample | Convert Resampling Objects to Other Formats |
clustering_cv | Cluster Cross-Validation |
complement | Determine the Assessment Samples |
complement.apparent_split | Determine the Assessment Samples |
complement.rof_split | Determine the Assessment Samples |
complement.rsplit | Determine the Assessment Samples |
complement.sliding_index_split | Determine the Assessment Samples |
complement.sliding_period_split | Determine the Assessment Samples |
complement.sliding_window_split | Determine the Assessment Samples |
form_pred | Extract Predictor Names from Formula or Terms |
get_rsplit | Retrieve individual rsplits objects from an rset |
get_rsplit.default | Retrieve individual rsplits objects from an rset |
get_rsplit.rset | Retrieve individual rsplits objects from an rset |
group_bootstraps | Group Bootstraps |
group_initial_split | Simple Training/Test Set Splitting |
group_mc_cv | Group Monte Carlo Cross-Validation |
group_validation_split | Create a Validation Set |
group_vfold_cv | Group V-Fold Cross-Validation |
initial_split | Simple Training/Test Set Splitting |
initial_time_split | Simple Training/Test Set Splitting |
int_bca | Bootstrap confidence intervals |
int_pctl | Bootstrap confidence intervals |
int_t | Bootstrap confidence intervals |
labels.rset | Find Labels from rset Object |
labels.rsplit | Find Labels from rsplit Object |
labels.vfold_cv | Find Labels from rset Object |
loo_cv | Leave-One-Out Cross-Validation |
make_splits | Constructors for split objects |
make_splits.data.frame | Constructors for split objects |
make_splits.default | Constructors for split objects |
make_splits.list | Constructors for split objects |
make_strata | Create or Modify Stratification Variables |
manual_rset | Manual resampling |
mc_cv | Monte Carlo Cross-Validation |
nested_cv | Nested or Double Resampling |
permutations | Permutation sampling |
populate | Add Assessment Indices |
reg_intervals | A convenience function for confidence intervals with linear-ish parametric models |
reshuffle_rset | "Reshuffle" an rset to re-generate a new rset with the same parameters |
reverse_splits | Reverse the analysis and assessment sets |
reverse_splits.default | Reverse the analysis and assessment sets |
reverse_splits.permutations | Reverse the analysis and assessment sets |
reverse_splits.perm_split | Reverse the analysis and assessment sets |
reverse_splits.rset | Reverse the analysis and assessment sets |
reverse_splits.rsplit | Reverse the analysis and assessment sets |
rolling_origin | Rolling Origin Forecast Resampling |
rsample-dplyr | Compatibility with dplyr |
rsample2caret | Convert Resampling Objects to Other Formats |
rset_reconstruct | Extending rsample with new rset subclasses |
slide-resampling | Time-based Resampling |
sliding_index | Time-based Resampling |
sliding_period | Time-based Resampling |
sliding_window | Time-based Resampling |
testing | Simple Training/Test Set Splitting |
tidy.nested_cv | Tidy Resampling Object |
tidy.rset | Tidy Resampling Object |
tidy.rsplit | Tidy Resampling Object |
tidy.vfold_cv | Tidy Resampling Object |
training | Simple Training/Test Set Splitting |
validation_split | Create a Validation Set |
validation_time_split | Create a Validation Set |
vfold_cv | V-Fold Cross-Validation |