mlpack-bin-4.5.0-1.el9 RPM for s390x

From EPEL 9 for s390x / Packages / m

mlpack is a C++ machine learning library with emphasis on scalability, speed,
and ease-of-use. Its aim is to make machine learning possible for novice users
by means of a simple, consistent API, while simultaneously exploiting C++
language features to provide maximum performance and maximum flexibility for
expert users. mlpack outperforms competing machine learning libraries by large
margins.  This package provides the command-line executables which run mlpack
methods and related documentation.

Provides

• mlpack-bin
• mlpack-bin(s390-64)

Requires

• armadillo
• libarmadillo.so.12()(64bit)
• libc.so.6()(64bit)
• libc.so.6(GLIBC_2.2)(64bit)
• libc.so.6(GLIBC_2.3.4)(64bit)
• libc.so.6(GLIBC_2.32)(64bit)
• libc.so.6(GLIBC_2.34)(64bit)
• libc.so.6(GLIBC_2.4)(64bit)
• libgcc_s.so.1()(64bit)
• libgcc_s.so.1(GCC_3.0)(64bit)
• libgomp.so.1()(64bit)
• libgomp.so.1(GOMP_1.0)(64bit)
• libgomp.so.1(GOMP_4.0)(64bit)
• libgomp.so.1(GOMP_4.5)(64bit)
• libgomp.so.1(OMP_1.0)(64bit)
• libm.so.6()(64bit)
• libm.so.6(GLIBC_2.2)(64bit)
• libm.so.6(GLIBC_2.27)(64bit)
• libm.so.6(GLIBC_2.29)(64bit)
• libm.so.6(GLIBC_2.4)(64bit)
• libstdc++.so.6()(64bit)
• libstdc++.so.6(CXXABI_1.3)(64bit)
• libstdc++.so.6(CXXABI_1.3.11)(64bit)
• libstdc++.so.6(CXXABI_1.3.5)(64bit)
• libstdc++.so.6(CXXABI_1.3.8)(64bit)
• libstdc++.so.6(CXXABI_1.3.9)(64bit)
• libstdc++.so.6(GLIBCXX_3.4)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.11)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.14)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.15)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.18)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.19)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.20)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.21)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.26)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.29)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.9)(64bit)
• mlpack-licenses
• rpmlib(CompressedFileNames) <= 3.0.4-1
• rpmlib(FileDigests) <= 4.6.0-1
• rpmlib(PayloadFilesHavePrefix) <= 4.0-1
• rpmlib(PayloadIsZstd) <= 5.4.18-1
• rtld(GNU_HASH)

License

BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)

Changelog

* Fri Sep 20 2024 Ryan Curtin <[email protected]> - 4.5.0-1
  - Update to latest stable version.
* Thu Jul 18 2024 Fedora Release Engineering <[email protected]> - 4.4.0-3
  - Rebuilt for https://fedoraproject.org/wiki/Fedora_41_Mass_Rebuild
* Sat Jun 08 2024 Python Maint <[email protected]> - 4.4.0-2
  - Rebuilt for Python 3.13
* Fri May 31 2024 Ryan Curtin <[email protected]>  - 4.4.0-1
  - Update to latest stable version.
* Sun Dec 31 2023 Ryan Curtin <[email protected]> - 4.3.0-1
  - Update to latest stable version and rebuild for Armadillo 12.
* Mon Oct 30 2023 Benson Muite <[email protected]> - 4.2.1-5
  - Use RPM macros for python and cmake build directory
* Fri Oct 27 2023 Benjamin A. Beasley <[email protected]> - 4.2.1-4
  - Ensure stb_image contains the latest CVE patches
* Wed Oct 25 2023 Benjamin A. Beasley <[email protected]> - 4.2.1-3
  - Ensure stb_image contains the latest CVE patches
* Mon Oct 16 2023 Ryan Curtin <[email protected]> - 4.2.1-2
  - Attempt to reduce RAM usage on ppc64le.
* Mon Sep 11 2023 Ryan Curtin <[email protected]> - 4.2.1-1
  - Update to latest stable version.
* Thu Jun 22 2023 Ryan Curtin <[email protected]> - 4.2.0-1
  - Update to latest stable version.
* Thu Apr 27 2023 Benson Muite <[email protected]> - 4.1.0-1
  - Update to new version
* Sat Feb 25 2023 Benjamin A. Beasley <[email protected]> - 4.0.1-4
  - Update min. stb_image versions for nullptr deref. bug
  - Add stb license to the License field
* Mon Feb 13 2023 Benson Muite <[email protected]> - 4.0.1-3
  - Use SPDX identifiers
  - Update license information to include Apache-2.0
* Thu Jan 19 2023 Fedora Release Engineering <[email protected]> - 4.0.1-2
  - Rebuilt for https://fedoraproject.org/wiki/Fedora_38_Mass_Rebuild
* Thu Dec 29 2022 Ryan Curtin <[email protected]> - 4.0.1-1
  - Update to latest stable version.
* Mon Nov 21 2022 Ryan Curtin <[email protected]> - 4.0.0-8
  - Fix incorrect Requires again (oops) :).
* Thu Nov 17 2022 Benson Muite <[email protected]> - 4.0.0-7
  - Use license package
* Tue Nov 15 2022 Benson Muite <[email protected]> - 4.0.0-6
  - Use just bin and devel directories
* Mon Nov 14 2022 Benson Muite <[email protected]> - 4.0.0-5
  - Include README and other documentation files
* Sun Nov 13 2022 Benson Muite <[email protected]> - 4.0.0-4
  - Put license in base package
  - Add static label to header only library
* Sun Nov 06 2022 Ryan Curtin <[email protected]> - 4.0.0-3
  - Remove Python bindings due to unavailable dependencies.
* Mon Oct 31 2022 Ryan Curtin <[email protected]> - 4.0.0-2
  - Fix incorrect Requires.
* Wed Oct 26 2022 Ryan Curtin <[email protected]> - 4.0.0-1
  - Update to latest stable version.
  - doc subpackage is no longer produced (mlpack 4.0.0 has no Doxygen support anymore).
  - Remove boost dependency, replace with cereal.

Files

/usr/bin/mlpack_adaboost
/usr/bin/mlpack_approx_kfn
/usr/bin/mlpack_bayesian_linear_regression
/usr/bin/mlpack_cf
/usr/bin/mlpack_dbscan
/usr/bin/mlpack_decision_tree
/usr/bin/mlpack_det
/usr/bin/mlpack_emst
/usr/bin/mlpack_fastmks
/usr/bin/mlpack_gmm_generate
/usr/bin/mlpack_gmm_probability
/usr/bin/mlpack_gmm_train
/usr/bin/mlpack_hmm_generate
/usr/bin/mlpack_hmm_loglik
/usr/bin/mlpack_hmm_train
/usr/bin/mlpack_hmm_viterbi
/usr/bin/mlpack_hoeffding_tree
/usr/bin/mlpack_image_converter
/usr/bin/mlpack_kde
/usr/bin/mlpack_kernel_pca
/usr/bin/mlpack_kfn
/usr/bin/mlpack_kmeans
/usr/bin/mlpack_knn
/usr/bin/mlpack_krann
/usr/bin/mlpack_lars
/usr/bin/mlpack_linear_regression
/usr/bin/mlpack_linear_svm
/usr/bin/mlpack_lmnn
/usr/bin/mlpack_local_coordinate_coding
/usr/bin/mlpack_logistic_regression
/usr/bin/mlpack_lsh
/usr/bin/mlpack_mean_shift
/usr/bin/mlpack_nbc
/usr/bin/mlpack_nca
/usr/bin/mlpack_nmf
/usr/bin/mlpack_pca
/usr/bin/mlpack_perceptron
/usr/bin/mlpack_preprocess_binarize
/usr/bin/mlpack_preprocess_describe
/usr/bin/mlpack_preprocess_imputer
/usr/bin/mlpack_preprocess_one_hot_encoding
/usr/bin/mlpack_preprocess_scale
/usr/bin/mlpack_preprocess_split
/usr/bin/mlpack_radical
/usr/bin/mlpack_random_forest
/usr/bin/mlpack_range_search
/usr/bin/mlpack_softmax_regression
/usr/bin/mlpack_sparse_coding
/usr/lib/.build-id
/usr/lib/.build-id/00
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/usr/share/man/mlpack_adaboost.1
/usr/share/man/mlpack_approx_kfn.1
/usr/share/man/mlpack_bayesian_linear_regression.1
/usr/share/man/mlpack_cf.1
/usr/share/man/mlpack_dbscan.1
/usr/share/man/mlpack_decision_tree.1
/usr/share/man/mlpack_det.1
/usr/share/man/mlpack_emst.1
/usr/share/man/mlpack_fastmks.1
/usr/share/man/mlpack_gmm_generate.1
/usr/share/man/mlpack_gmm_probability.1
/usr/share/man/mlpack_gmm_train.1
/usr/share/man/mlpack_hmm_generate.1
/usr/share/man/mlpack_hmm_loglik.1
/usr/share/man/mlpack_hmm_train.1
/usr/share/man/mlpack_hmm_viterbi.1
/usr/share/man/mlpack_hoeffding_tree.1
/usr/share/man/mlpack_image_converter.1
/usr/share/man/mlpack_kde.1
/usr/share/man/mlpack_kernel_pca.1
/usr/share/man/mlpack_kfn.1
/usr/share/man/mlpack_kmeans.1
/usr/share/man/mlpack_knn.1
/usr/share/man/mlpack_krann.1
/usr/share/man/mlpack_lars.1
/usr/share/man/mlpack_linear_regression.1
/usr/share/man/mlpack_linear_svm.1
/usr/share/man/mlpack_lmnn.1
/usr/share/man/mlpack_local_coordinate_coding.1
/usr/share/man/mlpack_logistic_regression.1
/usr/share/man/mlpack_lsh.1
/usr/share/man/mlpack_mean_shift.1
/usr/share/man/mlpack_nbc.1
/usr/share/man/mlpack_nca.1
/usr/share/man/mlpack_nmf.1
/usr/share/man/mlpack_pca.1
/usr/share/man/mlpack_perceptron.1
/usr/share/man/mlpack_preprocess_binarize.1
/usr/share/man/mlpack_preprocess_describe.1
/usr/share/man/mlpack_preprocess_imputer.1
/usr/share/man/mlpack_preprocess_one_hot_encoding.1
/usr/share/man/mlpack_preprocess_scale.1
/usr/share/man/mlpack_preprocess_split.1
/usr/share/man/mlpack_radical.1
/usr/share/man/mlpack_random_forest.1
/usr/share/man/mlpack_range_search.1
/usr/share/man/mlpack_softmax_regression.1
/usr/share/man/mlpack_sparse_coding.1

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Fabrice Bellet, Tue Dec 3 06:54:25 2024