Comments (4)
Hi. It would be awesome to have such an example. The nested CV is mainly used to evaluate models thoroughly, and not used to create the "final" predictive model, so a vignette would be a good solution instead of trying to change the pipeline to add "nestedcv" as an option. Looking forward to it.
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I did a blog post instead.
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Hi
Great post! That is just awesome - exaxctly when I need. Your example also nicely shows how much variations you can have in the final models. You also get an idea of that variance in performance.
Thanks!!
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Related Issues (20)
- Stratification based on censored data
- Deprecate `lag` argument to `initial_time_split()`
- Mark `rolling_origin()` as superseded HOT 5
- `make_strata()` changes order of original factor levels HOT 3
- vfold_cv crashing/freezing the console HOT 12
- Feature request: combining/crossing multiple resampling methods HOT 1
- Add `pretty()` method for `validation_set` class HOT 7
- Use cli errors
- Use rlang type-checkers HOT 1
- Odd error when combining `nested_cv` and `sliding_period` HOT 3
- Support for oversampling and undersampling HOT 3
- improve spacing in pretty methods
- group_bootstraps takes unusually long when there are rare classes HOT 8
- Add function to extract training + validation set after initial_validation_split() HOT 4
- Function for returning the original data frame with fold assignments appended? HOT 1
- Release rsample 1.2.1 HOT 1
- m-out-of-n bootstrap
- initial_split with strata produces very uneven division HOT 3
- Main functions doesn't do any input checking on `data` argument
- Declutter start of reference page
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