fix 1.6 error

Author: yufongpeng

src/classification/main.jl

@@ -56,6 +56,7 @@ function build_stump(
         weights      = nothing;
         rng          = Random.GLOBAL_RNG) where {S, T}
 
+    rng = mk_rng(rng)::Random.AbstractRNG
     t = treeclassifier.fit(
         X                   = features,
         Y                   = labels,

src/measures.jl

@@ -135,7 +135,7 @@ function _nfoldCV(classifier::Symbol, labels::AbstractVector{T}, features::Abstr
             predictions = apply_forest(model, test_features)
         elseif classifier == :stumps
             model, coeffs = build_adaboost_stumps(
-                train_labels, train_features, n_iterations)
+                train_labels, train_features, n_iterations, rng=rng)
             predictions = apply_adaboost_stumps(model, coeffs, test_features)
         end
         cm = confusion_matrix(test_labels, predictions)