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Same warning as #526, but arises from from tune grid paths rather than model specs at multi_predict. This is with dev dplyr (introduced in their 5910) and tidymodels/parsnip#772. Seems to only come up with grid set explicitly.🏄
library(tidymodels)
spec<- linear_reg(engine="glmnet", penalty= tune(), mixture= tune())
rec<- recipe(mpg~., data=mtcars)
res<- bootstraps(mtcars)
tune_grid(spec, rec, res, grid= cross_df(list(penalty=10^(-6:-1), mixture=1)))
#> Warning: Each row in `x` should match at most 1 row in `y`.#> ℹ Row 1 of `x` matches multiple rows.#> ℹ If multiple matches are expected, specify `multiple = "all"` in the join call#> to silence this warning.#> # Tuning results#> # Bootstrap sampling #> # A tibble: 25 × 4#> splits id .metrics .notes #> <list> <chr> <list> <list> #> 1 <split [32/10]> Bootstrap01 <tibble [12 × 6]> <tibble [0 × 3]>#> 2 <split [32/13]> Bootstrap02 <tibble [12 × 6]> <tibble [0 × 3]>#> 3 <split [32/12]> Bootstrap03 <tibble [12 × 6]> <tibble [0 × 3]>#> 4 <split [32/10]> Bootstrap04 <tibble [12 × 6]> <tibble [0 × 3]>#> 5 <split [32/13]> Bootstrap05 <tibble [12 × 6]> <tibble [0 × 3]>#> 6 <split [32/11]> Bootstrap06 <tibble [12 × 6]> <tibble [0 × 3]>#> 7 <split [32/12]> Bootstrap07 <tibble [12 × 6]> <tibble [0 × 3]>#> 8 <split [32/11]> Bootstrap08 <tibble [12 × 6]> <tibble [0 × 3]>#> 9 <split [32/12]> Bootstrap09 <tibble [12 × 6]> <tibble [0 × 3]>#> 10 <split [32/13]> Bootstrap10 <tibble [12 × 6]> <tibble [0 × 3]>#> # … with 15 more rows#> # ℹ Use `print(n = ...)` to see more rows
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Same warning as #526, but arises from from tune grid paths rather than model specs at
multi_predict
. This is with dev dplyr (introduced in their 5910) and tidymodels/parsnip#772. Seems to only come up withgrid
set explicitly.🏄Created on 2022-07-22 by the reprex package (v2.0.1)
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