I am trying to run an xgboost model using tidymodel and get the error "Error: The option `counts = TRUE`

was used but parameter `colsample_bynode`

was given as 0.333. Please use a value >= 1 or use `counts = FALSE`

". But, I didn't ever specify `colsample_bynode`

. Here is how I specified my model:

```
boost_spec <- boost_tree(
trees = 1000, # number of trees, T in the equations above
tree_depth = 2, # max number of splits in the tree
min_n = 5, # min points required for node to be further split
loss_reduction = 10^-5, # when to stop - smaller = more since it only has to get a little bit better
sample_size = 1, # proportion of training data to use
mtry = 1/3, # proportion of predictors used
learn_rate = tune(), # lambda from the equations above
stop_iter = 50 # number of iterations w/o improvement b4 stopping
) %>%
set_engine("xgboost") %>%
set_mode("regression")
```

This code worked back in April 2021, but I see there's a note here about doing some updating of the mtry parameter. I'm confused about where I'm supposed to add the count=FALSE.