tunable is missing mixture for brulee models

[topepo]

library(tidymodels)

mlp_spec <-
  mlp(
    hidden_units = tune(),
    activation =  tune(),
    penalty = tune(),
    learn_rate = tune(),
    epoch = 2000
  ) %>%
  set_mode("regression") %>%
  set_engine("brulee",
             stop_iter = tune(),
             mixture = tune(),
             rate_schedule = tune())

tunable(mlp_spec)
#> # A tibble: 17 × 5
#>    name          call_info        source     component component_id
#>    <chr>         <list>           <chr>      <chr>     <chr>       
#>  1 hidden_units  <named list [2]> model_spec mlp       main        
#>  2 penalty       <named list [2]> model_spec mlp       main        
#>  3 epochs        <named list [3]> model_spec mlp       main        
#>  4 dropout       <named list [2]> model_spec mlp       main        
#>  5 learn_rate    <named list [3]> model_spec mlp       main        
#>  6 activation    <named list [3]> model_spec mlp       main        
#>  7 mixture       <NULL>           model_spec mlp       engine      
#>  8 momentum      <named list [3]> model_spec mlp       engine      
#>  9 batch_size    <named list [3]> model_spec mlp       engine      
#> 10 stop_iter     <named list [2]> model_spec mlp       engine      
#> 11 class_weights <named list [2]> model_spec mlp       engine      
#> 12 decay         <named list [2]> model_spec mlp       engine      
#> 13 initial       <named list [2]> model_spec mlp       engine      
#> 14 largest       <named list [2]> model_spec mlp       engine      
#> 15 rate_schedule <named list [2]> model_spec mlp       engine      
#> 16 step_size     <named list [2]> model_spec mlp       engine      
#> 17 steps         <named list [2]> model_spec mlp       engine

^{Created on 2025-01-28 with reprex v2.1.0}

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