Avoid tibble warning.

[rorynolan]

When converting a nameless matrix to tibble with as_tibble(), you need to specify .name_repair to avoid a warning. In this case, the colnames are set on the following line, so it makes sense to do the minimum with colnames inside the as_tibble call.

[juliasilge]

Can you share a reprex where you produce a warning? We don't currently see warnings in our tests.

[rorynolan]

Sure thing sorry should've done that from the start.

suppressMessages(library(tidymodels))

iris_data <- janitor::clean_names(datasets::iris)
iris_data_split <- initial_split(iris_data)

gbm_spec <- boost_tree(trees = 10, tree_depth = 2, learn_rate = 0.1) %>% 
  set_engine("xgboost") %>% 
  set_mode("classification")

fitted_gbm <- fit(gbm_spec, species ~ ., training(iris_data_split))

predict(fitted_gbm, new_data = testing(iris_data_split), type = "prob")
#> Warning: The `x` argument of `as_tibble.matrix()` must have unique column names if `.name_repair` is omitted as of tibble 2.0.0.
#> Using compatibility `.name_repair`.
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_warnings()` to see where this warning was generated.
#> # A tibble: 37 x 3
#>    .pred_setosa .pred_versicolor .pred_virginica
#>           <dbl>            <dbl>           <dbl>
#>  1        0.708            0.147           0.145
#>  2        0.708            0.147           0.145
#>  3        0.708            0.147           0.145
#>  4        0.708            0.147           0.145
#>  5        0.708            0.147           0.145
#>  6        0.708            0.147           0.145
#>  7        0.708            0.147           0.145
#>  8        0.708            0.147           0.145
#>  9        0.708            0.147           0.145
#> 10        0.708            0.147           0.145
#> # … with 27 more rows

^{Created on 2020-07-21 by the reprex package (v0.3.0)}

[topepo]

Can you show the output of library(tidymodels) or sessionifo::session_info()?

[DavisVaughan]

I get the warning using the above reprex with CRAN tibble 3.0.3, so I think this is a reasonable change.

[rorynolan]

library(tidymodels)
#> ── Attaching packages ──────────────────────────────────────────────────────── tidymodels 0.1.1 ──
#> ✓ broom     0.7.0          ✓ recipes   0.1.13    
#> ✓ dials     0.0.8          ✓ rsample   0.0.7     
#> ✓ dplyr     1.0.0          ✓ tibble    3.0.3     
#> ✓ ggplot2   3.3.2.9000     ✓ tidyr     1.1.0     
#> ✓ infer     0.5.3          ✓ tune      0.1.1     
#> ✓ modeldata 0.0.2          ✓ workflows 0.1.2     
#> ✓ parsnip   0.1.2          ✓ yardstick 0.0.7     
#> ✓ purrr     0.3.4
#> ── Conflicts ─────────────────────────────────────────────────────────── tidymodels_conflicts() ──
#> x purrr::discard() masks scales::discard()
#> x dplyr::filter()  masks stats::filter()
#> x dplyr::lag()     masks stats::lag()
#> x recipes::step()  masks stats::step()

iris_data <- janitor::clean_names(datasets::iris)
iris_data_split <- initial_split(iris_data)

gbm_spec <- boost_tree(trees = 10, tree_depth = 2, learn_rate = 0.1) %>% 
  set_engine("xgboost") %>% 
  set_mode("classification")

fitted_gbm <- fit(gbm_spec, species ~ ., training(iris_data_split))

predict(fitted_gbm, new_data = testing(iris_data_split), type = "prob")
#> Warning: The `x` argument of `as_tibble.matrix()` must have unique column names if `.name_repair` is omitted as of tibble 2.0.0.
#> Using compatibility `.name_repair`.
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_warnings()` to see where this warning was generated.
#> # A tibble: 37 x 3
#>    .pred_setosa .pred_versicolor .pred_virginica
#>           <dbl>            <dbl>           <dbl>
#>  1        0.707            0.148           0.145
#>  2        0.707            0.148           0.145
#>  3        0.707            0.148           0.145
#>  4        0.707            0.148           0.145
#>  5        0.707            0.148           0.145
#>  6        0.707            0.148           0.145
#>  7        0.707            0.148           0.145
#>  8        0.707            0.148           0.145
#>  9        0.707            0.148           0.145
#> 10        0.707            0.148           0.145
#> # … with 27 more rows

^{Created on 2020-07-21 by the reprex package (v0.3.0)}

[topepo]

Thanks

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