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Update mlpack to latest stable version (4.8.0). #14003

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Merged
giordano merged 4 commits into from
Jun 21, 2026
Merged

Update mlpack to latest stable version (4.8.0). #14003

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4acee4e
Update mlpack to latest stable version (4.8.0).
rcurtin Jun 17, 2026
a9d5a72
Update names of libraries to match new grouped-binding infrastructure…
rcurtin Jun 18, 2026
54f411e
Merge branch 'master' into mlpack-4.8.0
giordano Jun 20, 2026
1b1a153
Bump preferred GCC version in the hopes it will work out mingw bug.
rcurtin Jun 21, 2026
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52 changes: 37 additions & 15 deletions M/mlpack/build_tarballs.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -9,11 +9,11 @@ include(joinpath(YGGDRASIL_DIR, "platforms", "macos_sdks.jl"))

# Set sources and other environment variables.
name = "mlpack"
source_version = v"4.7.0"
source_version = v"4.8.0"
version = source_version
sources = [
ArchiveSource("https://www.mlpack.org/files/mlpack-$(source_version).tar.gz",
"a3f0fb530e51d51f8d7eceb7998b4699906d628000b158ada80541465595324e"),
"0ab06e5c506c7ed5f072faa4c04477c65624e4a1ff62eee8c0d996ef850ec51c"),
]

script = raw"""
Expand Down Expand Up @@ -115,14 +115,25 @@ products = [
LibraryProduct("libmlpack_julia_util", :libmlpack_julia_util),
# Each of these contains a mlpackMain() implementation for the given
# binding.
LibraryProduct("libmlpack_julia_adaboost", :libmlpack_julia_adaboost),
LibraryProduct("libmlpack_julia_adaboost_train",
:libmlpack_julia_adaboost_train),
LibraryProduct("libmlpack_julia_adaboost_classify",
:libmlpack_julia_adaboost_classify),
LibraryProduct("libmlpack_julia_adaboost_probabilities",
:libmlpack_julia_adaboost_probabilities),
LibraryProduct("libmlpack_julia_approx_kfn", :libmlpack_julia_approx_kfn),
LibraryProduct("libmlpack_julia_bayesian_linear_regression",
:libmlpack_julia_bayesian_linear_regression),
LibraryProduct("libmlpack_julia_bayesian_linear_regression_train",
:libmlpack_julia_bayesian_linear_regression_train),
LibraryProduct("libmlpack_julia_bayesian_linear_regression_predict",
:libmlpack_julia_bayesian_linear_regression_predict),
LibraryProduct("libmlpack_julia_cf", :libmlpack_julia_cf),
LibraryProduct("libmlpack_julia_dbscan", :libmlpack_julia_dbscan),
LibraryProduct("libmlpack_julia_decision_tree",
:libmlpack_julia_decision_tree),
LibraryProduct("libmlpack_julia_decision_tree_train",
:libmlpack_julia_decision_tree_train),
LibraryProduct("libmlpack_julia_decision_tree_classify",
:libmlpack_julia_decision_tree_classify),
LibraryProduct("libmlpack_julia_decision_tree_probabilities",
:libmlpack_julia_decision_tree_probabilities),
LibraryProduct("libmlpack_julia_det", :libmlpack_julia_det),
LibraryProduct("libmlpack_julia_emst", :libmlpack_julia_emst),
LibraryProduct("libmlpack_julia_fastmks", :libmlpack_julia_fastmks),
Expand All @@ -146,15 +157,22 @@ products = [
LibraryProduct("libmlpack_julia_kmeans", :libmlpack_julia_kmeans),
LibraryProduct("libmlpack_julia_knn", :libmlpack_julia_knn),
LibraryProduct("libmlpack_julia_krann", :libmlpack_julia_krann),
LibraryProduct("libmlpack_julia_lars", :libmlpack_julia_lars),
LibraryProduct("libmlpack_julia_linear_regression",
:libmlpack_julia_linear_regression),
LibraryProduct("libmlpack_julia_lars_train", :libmlpack_julia_lars_train),
LibraryProduct("libmlpack_julia_lars_predict", :libmlpack_julia_lars_predict),
LibraryProduct("libmlpack_julia_linear_regression_train",
:libmlpack_julia_linear_regression_train),
LibraryProduct("libmlpack_julia_linear_regression_predict",
:libmlpack_julia_linear_regression_predict),
LibraryProduct("libmlpack_julia_linear_svm", :libmlpack_julia_linear_svm),
LibraryProduct("libmlpack_julia_lmnn", :libmlpack_julia_lmnn),
LibraryProduct("libmlpack_julia_local_coordinate_coding",
:libmlpack_julia_local_coordinate_coding),
LibraryProduct("libmlpack_julia_logistic_regression",
:libmlpack_julia_logistic_regression),
LibraryProduct("libmlpack_julia_logistic_regression_train",
:libmlpack_julia_logistic_regression_train),
LibraryProduct("libmlpack_julia_logistic_regression_classify",
:libmlpack_julia_logistic_regression_classify),
LibraryProduct("libmlpack_julia_logistic_regression_probabilities",
:libmlpack_julia_logistic_regression_probabilities),
LibraryProduct("libmlpack_julia_lsh", :libmlpack_julia_lsh),
LibraryProduct("libmlpack_julia_mean_shift", :libmlpack_julia_mean_shift),
LibraryProduct("libmlpack_julia_nbc", :libmlpack_julia_nbc),
Expand All @@ -173,8 +191,12 @@ products = [
LibraryProduct("libmlpack_julia_preprocess_split",
:libmlpack_julia_preprocess_split),
LibraryProduct("libmlpack_julia_radical", :libmlpack_julia_radical),
LibraryProduct("libmlpack_julia_random_forest",
:libmlpack_julia_random_forest),
LibraryProduct("libmlpack_julia_random_forest_train",
:libmlpack_julia_random_forest_train),
LibraryProduct("libmlpack_julia_random_forest_classify",
:libmlpack_julia_random_forest_classify),
LibraryProduct("libmlpack_julia_random_forest_probabilities",
:libmlpack_julia_random_forest_probabilities),
LibraryProduct("libmlpack_julia_softmax_regression",
:libmlpack_julia_softmax_regression),
LibraryProduct("libmlpack_julia_sparse_coding",
Expand All @@ -196,4 +218,4 @@ dependencies = [
]

# Build the tarballs, and possibly a `build.jl` as well.
build_tarballs(ARGS, name, version, sources, script, platforms, products, dependencies; preferred_gcc_version=v"8", julia_compat="1.7")
build_tarballs(ARGS, name, version, sources, script, platforms, products, dependencies; preferred_gcc_version=v"9", julia_compat="1.7")