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Merged
EmilHvitfeldt merged 2 commits into from
Nov 19, 2025
Merged

updated tunables for boosting #1306

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e62c2f7
updated tunables for boosting
topepo Nov 16, 2025
8d9a8e7
Update NEWS.md
EmilHvitfeldt Nov 19, 2025
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5 changes: 5 additions & 0 deletions NEWS.md
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Original file line number Diff line number Diff line change
@@ -1,5 +1,10 @@
# parsnip (development version)

* Updates to some boosting tuning parameter information:
- lightgbm and catboost have smaller default ranges for the learning rate: -3 to -1 / 2 in log10 units.
- lightgbm, xgboost, catboost, and C5.0 have smaller default ranges for the sampling proportion: 0.5 to 1.0.
- catboost engine arguments were added for `max_leaves` and `l2_leaf_reg`.

* Enable generalized random forest (`grf`) models for classification, regression, and quantile regression modes. (#1288)

* `surv_reg()` is now defunct and will error if called. Please use `survival_reg()` instead (#1206).
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29 changes: 26 additions & 3 deletions R/tunable.R
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Expand Up @@ -124,6 +124,21 @@ lightgbm_engine_args <-
component_id = "engine"
)

catboost_engine_args <-
tibble::tibble(
name = c(
"max_leaves",
"l2_leaf_reg"
),
call_info = list(
list(pkg = "dials", fun = "num_leaves"),
list(pkg = "dials", fun = "penalty", range = c(-4, 1))
),
source = "model_spec",
component = "boost_tree",
component_id = "engine"
)

ranger_engine_args <-
tibble::tibble(
name = c(
Expand Down Expand Up @@ -345,19 +360,27 @@ tunable.boost_tree <- function(x, ...) {
if (x$engine == "xgboost") {
res <- add_engine_parameters(res, xgboost_engine_args)
res$call_info[res$name == "sample_size"] <-
list(list(pkg = "dials", fun = "sample_prop"))
list(list(pkg = "dials", fun = "sample_prop", range = c(0.5, 1.0)))
res$call_info[res$name == "learn_rate"] <-
list(list(pkg = "dials", fun = "learn_rate", range = c(-3, -1 / 2)))
} else if (x$engine == "C5.0") {
res <- add_engine_parameters(res, c5_boost_engine_args)
res$call_info[res$name == "trees"] <-
list(list(pkg = "dials", fun = "trees", range = c(1, 100)))
res$call_info[res$name == "sample_size"] <-
list(list(pkg = "dials", fun = "sample_prop"))
list(list(pkg = "dials", fun = "sample_prop", range = c(0.5, 1.0)))
} else if (x$engine == "lightgbm") {
res <- add_engine_parameters(res, lightgbm_engine_args)
res$call_info[res$name == "sample_size"] <-
list(list(pkg = "dials", fun = "sample_prop"))
list(list(pkg = "dials", fun = "sample_prop", range = c(0.5, 1.0)))
res$call_info[res$name == "learn_rate"] <-
list(list(pkg = "dials", fun = "learn_rate", range = c(-3, -1 / 2)))
} else if (x$engine == "catboost") {
res <- add_engine_parameters(res, catboost_engine_args)
res$call_info[res$name == "learn_rate"] <-
list(list(pkg = "dials", fun = "learn_rate", range = c(-3, -1 / 2)))
res$call_info[res$name == "sample_size"] <-
list(list(pkg = "dials", fun = "sample_prop", range = c(0.5, 1.0)))
}
res
}
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