mlpack_jll.jl (v4.8.0+0)

This is an autogenerated package constructed using BinaryBuilder.jl.

The originating build_tarballs.jl script can be found on Yggdrasil, the community build tree.

Bug Reports

If you have any issue, please report it to the Yggdrasil bug tracker.

Documentation

For more details about JLL packages and how to use them, see BinaryBuilder.jl documentation.

Sources

The tarballs for mlpack_jll.jl have been built from these sources:

• compressed archive: https://www.mlpack.org/files/mlpack-4.8.0.tar.gz (SHA256 checksum: 0ab06e5c506c7ed5f072faa4c04477c65624e4a1ff62eee8c0d996ef850ec51c)
• file: https://github.com/phracker/MacOSX-SDKs/releases/download/10.15/MacOSX10.14.sdk.tar.xz (SHA256 checksum: 0f03869f72df8705b832910517b47dd5b79eb4e160512602f593ed243b28715f)

Platforms

mlpack_jll.jl is available for the following platforms:

• Platform("aarch64", "macos"; ) (aarch64-apple-darwin)
• Platform("aarch64", "linux"; libc = "glibc", cxxstring_abi = "cxx11") (aarch64-linux-gnu-cxx11)
• Platform("aarch64", "linux"; libc = "musl", cxxstring_abi = "cxx11") (aarch64-linux-musl-cxx11)
• Platform("armv6l", "linux"; call_abi = "eabihf", libc = "glibc", cxxstring_abi = "cxx11") (armv6l-linux-gnueabihf-cxx11)
• Platform("armv6l", "linux"; call_abi = "eabihf", libc = "musl", cxxstring_abi = "cxx11") (armv6l-linux-musleabihf-cxx11)
• Platform("armv7l", "linux"; call_abi = "eabihf", libc = "glibc", cxxstring_abi = "cxx11") (armv7l-linux-gnueabihf-cxx11)
• Platform("armv7l", "linux"; call_abi = "eabihf", libc = "musl", cxxstring_abi = "cxx11") (armv7l-linux-musleabihf-cxx11)
• Platform("i686", "linux"; libc = "glibc", cxxstring_abi = "cxx11") (i686-linux-gnu-cxx11)
• Platform("i686", "linux"; libc = "musl", cxxstring_abi = "cxx11") (i686-linux-musl-cxx11)
• Platform("i686", "windows"; cxxstring_abi = "cxx11") (i686-w64-mingw32-cxx11)
• Platform("powerpc64le", "linux"; libc = "glibc", cxxstring_abi = "cxx11") (powerpc64le-linux-gnu-cxx11)
• Platform("riscv64", "linux"; libc = "glibc", cxxstring_abi = "cxx11") (riscv64-linux-gnu-cxx11)
• Platform("x86_64", "macos"; ) (x86_64-apple-darwin)
• Platform("x86_64", "linux"; libc = "glibc", cxxstring_abi = "cxx11") (x86_64-linux-gnu-cxx11)
• Platform("x86_64", "linux"; libc = "musl", cxxstring_abi = "cxx11") (x86_64-linux-musl-cxx11)
• Platform("x86_64", "freebsd"; ) (x86_64-unknown-freebsd)
• Platform("x86_64", "windows"; cxxstring_abi = "cxx11") (x86_64-w64-mingw32-cxx11)

Dependencies

The following JLL packages are required by mlpack_jll.jl:

• CompilerSupportLibraries_jll
• LLVMOpenMP_jll
• OpenBLAS_jll
• armadillo_jll

Products

The code bindings within this package are autogenerated from the following Products:

• LibraryProduct: libmlpack_julia_adaboost_classify
• LibraryProduct: libmlpack_julia_adaboost_probabilities
• LibraryProduct: libmlpack_julia_adaboost_train
• LibraryProduct: libmlpack_julia_approx_kfn
• LibraryProduct: libmlpack_julia_bayesian_linear_regression_predict
• LibraryProduct: libmlpack_julia_bayesian_linear_regression_train
• LibraryProduct: libmlpack_julia_cf
• LibraryProduct: libmlpack_julia_dbscan
• LibraryProduct: libmlpack_julia_decision_tree_classify
• LibraryProduct: libmlpack_julia_decision_tree_probabilities
• LibraryProduct: libmlpack_julia_decision_tree_train
• LibraryProduct: libmlpack_julia_det
• LibraryProduct: libmlpack_julia_emst
• LibraryProduct: libmlpack_julia_fastmks
• LibraryProduct: libmlpack_julia_gmm_generate
• LibraryProduct: libmlpack_julia_gmm_probability
• LibraryProduct: libmlpack_julia_gmm_train
• LibraryProduct: libmlpack_julia_hmm_generate
• LibraryProduct: libmlpack_julia_hmm_loglik
• LibraryProduct: libmlpack_julia_hmm_train
• LibraryProduct: libmlpack_julia_hmm_viterbi
• LibraryProduct: libmlpack_julia_hoeffding_tree
• LibraryProduct: libmlpack_julia_image_converter
• LibraryProduct: libmlpack_julia_kde
• LibraryProduct: libmlpack_julia_kernel_pca
• LibraryProduct: libmlpack_julia_kfn
• LibraryProduct: libmlpack_julia_kmeans
• LibraryProduct: libmlpack_julia_knn
• LibraryProduct: libmlpack_julia_krann
• LibraryProduct: libmlpack_julia_lars_predict
• LibraryProduct: libmlpack_julia_lars_train
• LibraryProduct: libmlpack_julia_linear_regression_predict
• LibraryProduct: libmlpack_julia_linear_regression_train
• LibraryProduct: libmlpack_julia_linear_svm
• LibraryProduct: libmlpack_julia_lmnn
• LibraryProduct: libmlpack_julia_local_coordinate_coding
• LibraryProduct: libmlpack_julia_logistic_regression_classify
• LibraryProduct: libmlpack_julia_logistic_regression_probabilities
• LibraryProduct: libmlpack_julia_logistic_regression_train
• LibraryProduct: libmlpack_julia_lsh
• LibraryProduct: libmlpack_julia_mean_shift
• LibraryProduct: libmlpack_julia_nbc
• LibraryProduct: libmlpack_julia_nca
• LibraryProduct: libmlpack_julia_nmf
• LibraryProduct: libmlpack_julia_pca
• LibraryProduct: libmlpack_julia_perceptron
• LibraryProduct: libmlpack_julia_preprocess_binarize
• LibraryProduct: libmlpack_julia_preprocess_describe
• LibraryProduct: libmlpack_julia_preprocess_one_hot_encoding
• LibraryProduct: libmlpack_julia_preprocess_scale
• LibraryProduct: libmlpack_julia_preprocess_split
• LibraryProduct: libmlpack_julia_radical
• LibraryProduct: libmlpack_julia_random_forest_classify
• LibraryProduct: libmlpack_julia_random_forest_probabilities
• LibraryProduct: libmlpack_julia_random_forest_train
• LibraryProduct: libmlpack_julia_softmax_regression
• LibraryProduct: libmlpack_julia_sparse_coding
• LibraryProduct: libmlpack_julia_util