Results 232 issues of Max Kuhn

``` r library(tidymodels) lm_mod % parsnip::set_engine("lm") wflow % add_model(lm_mod) wflow_1 % add_variables(outcomes = "mpg", predictors = c(wt)) outcome_names(wflow_1) #> Error in UseMethod("outcome_names"): no applicable method for 'outcome_names' applied to an...

Thought of when reading #991 If someone feeds `tune_bayes(param_info = NULL)` an initial object created by one of the other `tune_*()` functions, should we use the parameter set in the...

We're making a substantial change to the workhorse of the package for two reasons: - complete conversion to the future package. - enable efficient tuning of postprocessing parameters Currently, the...

discussion

Currently, it doesn't seen to work with tidymodels beyond parsnip. See [this SO question](https://stackoverflow.com/questions/79355605/tidymodel-grid-search-for-semi-supervised-algorithms) for an example.

feature

Originally requested in #214 where I said (inaccurately) I have a working prototype in the `nested` branch but needs to be updated from main. There is probably some rsample work...

feature
work in progress

These take bootstrap resampling and use more sophisticated estimates to estimate and correct for bias. I have a prototype implementation used in [aml4td](https://aml4td.org/chapters/resampling.html#correcting-for-bias) in the `632-estimate` branch. Notes: - It...

feature
work in progress

It is fairly slow, requires indicators for categorical predictors, and the maintainers don't respond to emails. I've been looking into [GauPro](https://github.com/CollinErickson/GauPro). Pros: - it has kernel functions for categorical tuning...

feature
discussion

`tune:::create_initial_set()` will use `dials::grid_space_filling()` when an integer is passed. We have space-filling designs for 2+ points and when `grid = 1`, it creates a random grid but uses a LHD...

feature

Hi Max, thanks for keeping vigilant and up to date! If you want to continue to test the labels, we also implemented an accessor (https://github.com/tidyverse/ggplot2/pull/6078) for exactly this reason. _Originally...