add ability to set multi-valued booster params (#164)

Project.toml

@@ -1,6 +1,6 @@
 name = "XGBoost"
 uuid = "009559a3-9522-5dbb-924b-0b6ed2b22bb9"
-version = "2.2.2"
+version = "2.2.3"
 
 [deps]
 AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"

src/booster.jl

@@ -81,6 +81,15 @@ end
 setparam!(b::Booster, name::AbstractString, val) = setparam!(b, name, string(val))
 setparam!(b::Booster, name::Symbol, val) = setparam!(b, string(name), val)
 
+setmultiparams!(b::Booster, name::Union{Symbol,AbstractString}, vals) = foreach(v -> setparam!(b, name, v), vals)
+
+# the API for some parameters involves multiple separate calls to XGBoosterSetParam
+# multi methods for resolving ambiguities
+setparam!(b::Booster, name::Symbol, vals::AbstractVector) = setmultiparams!(b, name, vals)
+setparam!(b::Booster, name::AbstractString, vals::AbstractVector) = setmultiparams!(b, name, vals)
+setparam!(b::Booster, name::Symbol, vals::Tuple) = setmultiparams!(b, name, vals)
+setparam!(b::Booster, name::AbstractString, vals::Tuple) = setmultiparams!(b, name, vals)
+
 """
  setparams!(b::Booster; kw...)
 

test/runtests.jl

@@ -101,6 +101,8 @@ end
  watchlist=watchlist,
  η=1, max_depth=2,
  objective="binary:logistic",
+ # check that we can set multiple param values
+ eval_metric=["rmse", "rmsle"],
  )
  end
 
@@ -171,6 +173,7 @@ end
  η=1.0, max_depth=2,
  objective="binary:logistic",
  watchlist=Dict(),
+ eval_metric=("mae", "mape"),
  )
  preds = predict(bst, dtest)
  XGBoost.save(bst, model_file)