Name: mlpack-devel	Distribution: Fedora Project
Version: 4.3.0	Vendor: Fedora Project
Release: 3.fc40	Build date: Thu Jan 25 08:50:21 2024
Group: Unspecified	Build host: buildvm-s390x-12.s390.fedoraproject.org
Size: 6433954	Source RPM: mlpack-4.3.0-3.fc40.src.rpm
Packager: Fedora Project
Url: http://www.mlpack.org
Summary: Development headers for mlpack (C++ machine learning library)

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 headers to compile applications against
mlpack.

Provides

Requires

/usr/bin/pkg-config
armadillo-devel >= 9.800.0
cereal-devel
ensmallen-devel >= 2.10.0
lapack-devel
mlpack-licenses
pkg-config
rpmlib(CaretInVersions) <= 4.15.0-1
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsZstd) <= 5.4.18-1
stb_image-devel(s390-64) >= 2.28^20231011gitbeebb24-12
stb_image_write-devel(s390-64)

License

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

Changelog

* Thu Jan 25 2024 Fedora Release Engineering <[email protected]> - 4.3.0-3
  - Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild
* Sun Jan 21 2024 Fedora Release Engineering <[email protected]> - 4.3.0-2
  - Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild
* Tue Dec 19 2023 Ryan Curtin <[email protected]> - 4.3.0-1
  - Update to latest stable version.
  - Rebuild against new Armadillo major version (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 Jul 27 2023 Ryan Curtin <[email protected]> - 4.2.0-4
  - Bugfix: ensure Cython finds pxds for a successful build.
* Thu Jul 20 2023 Fedora Release Engineering <[email protected]> - 4.2.0-3
  - Rebuilt for https://fedoraproject.org/wiki/Fedora_39_Mass_Rebuild
* Wed Jun 28 2023 Python Maint <[email protected]> - 4.2.0-2
  - Rebuilt for Python 3.12
* 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]> - 4.0.0-7
  - Fix incorrect Requires again (oops) :).
* Thu Nov 17 2022 Benson Muite <[email protected]> - 4.0.0-6
  - Use license package
* Tue Nov 15 2022 Benson Muite <[email protected]> - 4.0.0-5
  - Use just bin and devel directories
* Mon Nov 14 2022 Benson Muite <[email protected]> - 4.0.0-4
  - Include README and other documentation files
* Sun Nov 13 2022 Benson Muite <[email protected]> - 4.0.0-3
  - Put license in base package
  - Add static label to header only library
* 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.
* Thu Jul 21 2022 Fedora Release Engineering <[email protected]> - 3.4.2-18
  - Rebuilt for https://fedoraproject.org/wiki/Fedora_37_Mass_Rebuild
* Tue Jun 21 2022 Lumír Balhar <[email protected]> - 3.4.2-17
  - Fix build by BR python3-devel
  - Fix compatibility with latest setuptools
* Wed Jun 15 2022 Python Maint <[email protected]> - 3.4.2-16
  - Rebuilt for Python 3.11
* Wed May 04 2022 Thomas Rodgers <[email protected]> - 3.4.2-15
  - Rebuilt for Boost 1.78
* Sat Apr 23 2022 Benjamin A. Beasley <[email protected]> - 3.4.2-14
  - Security fix for CVE-2022-28041

Files

/usr/include/mlpack
/usr/include/mlpack.hpp
/usr/include/mlpack/base.hpp
/usr/include/mlpack/config.hpp
/usr/include/mlpack/core
/usr/include/mlpack/core.hpp
/usr/include/mlpack/core/arma_extend
/usr/include/mlpack/core/arma_extend/Mat_extra_bones.hpp
/usr/include/mlpack/core/arma_extend/SpMat_extra_bones.hpp
/usr/include/mlpack/core/arma_extend/arma_extend.hpp
/usr/include/mlpack/core/arma_extend/serialize_armadillo.hpp
/usr/include/mlpack/core/cereal
/usr/include/mlpack/core/cereal/array_wrapper.hpp
/usr/include/mlpack/core/cereal/is_loading.hpp
/usr/include/mlpack/core/cereal/is_saving.hpp
/usr/include/mlpack/core/cereal/pair_associative_container.hpp
/usr/include/mlpack/core/cereal/pointer_vector_wrapper.hpp
/usr/include/mlpack/core/cereal/pointer_wrapper.hpp
/usr/include/mlpack/core/cereal/unordered_map.hpp
/usr/include/mlpack/core/cv
/usr/include/mlpack/core/cv/cv.hpp
/usr/include/mlpack/core/cv/cv_base.hpp
/usr/include/mlpack/core/cv/cv_base_impl.hpp
/usr/include/mlpack/core/cv/k_fold_cv.hpp
/usr/include/mlpack/core/cv/k_fold_cv_impl.hpp
/usr/include/mlpack/core/cv/meta_info_extractor.hpp
/usr/include/mlpack/core/cv/metrics
/usr/include/mlpack/core/cv/metrics/accuracy.hpp
/usr/include/mlpack/core/cv/metrics/accuracy_impl.hpp
/usr/include/mlpack/core/cv/metrics/average_strategy.hpp
/usr/include/mlpack/core/cv/metrics/f1.hpp
/usr/include/mlpack/core/cv/metrics/f1_impl.hpp
/usr/include/mlpack/core/cv/metrics/facilities.hpp
/usr/include/mlpack/core/cv/metrics/metrics.hpp
/usr/include/mlpack/core/cv/metrics/mse.hpp
/usr/include/mlpack/core/cv/metrics/mse_impl.hpp
/usr/include/mlpack/core/cv/metrics/precision.hpp
/usr/include/mlpack/core/cv/metrics/precision_impl.hpp
/usr/include/mlpack/core/cv/metrics/r2_score.hpp
/usr/include/mlpack/core/cv/metrics/r2_score_impl.hpp
/usr/include/mlpack/core/cv/metrics/recall.hpp
/usr/include/mlpack/core/cv/metrics/recall_impl.hpp
/usr/include/mlpack/core/cv/metrics/roc_auc_score.hpp
/usr/include/mlpack/core/cv/metrics/roc_auc_score_impl.hpp
/usr/include/mlpack/core/cv/metrics/silhouette_score.hpp
/usr/include/mlpack/core/cv/metrics/silhouette_score_impl.hpp
/usr/include/mlpack/core/cv/simple_cv.hpp
/usr/include/mlpack/core/cv/simple_cv_impl.hpp
/usr/include/mlpack/core/data
/usr/include/mlpack/core/data/binarize.hpp
/usr/include/mlpack/core/data/check_categorical_param.hpp
/usr/include/mlpack/core/data/confusion_matrix.hpp
/usr/include/mlpack/core/data/confusion_matrix_impl.hpp
/usr/include/mlpack/core/data/data.hpp
/usr/include/mlpack/core/data/dataset_mapper.hpp
/usr/include/mlpack/core/data/dataset_mapper_impl.hpp
/usr/include/mlpack/core/data/detect_file_type.hpp
/usr/include/mlpack/core/data/detect_file_type_impl.hpp
/usr/include/mlpack/core/data/extension.hpp
/usr/include/mlpack/core/data/format.hpp
/usr/include/mlpack/core/data/has_serialize.hpp
/usr/include/mlpack/core/data/image_info.hpp
/usr/include/mlpack/core/data/image_info_impl.hpp
/usr/include/mlpack/core/data/imputation_methods
/usr/include/mlpack/core/data/imputation_methods/custom_imputation.hpp
/usr/include/mlpack/core/data/imputation_methods/imputation_methods.hpp
/usr/include/mlpack/core/data/imputation_methods/listwise_deletion.hpp
/usr/include/mlpack/core/data/imputation_methods/mean_imputation.hpp
/usr/include/mlpack/core/data/imputation_methods/median_imputation.hpp
/usr/include/mlpack/core/data/imputer.hpp
/usr/include/mlpack/core/data/is_naninf.hpp
/usr/include/mlpack/core/data/load.hpp
/usr/include/mlpack/core/data/load_arff.hpp
/usr/include/mlpack/core/data/load_arff_impl.hpp
/usr/include/mlpack/core/data/load_categorical_csv.hpp
/usr/include/mlpack/core/data/load_csv.hpp
/usr/include/mlpack/core/data/load_image.hpp
/usr/include/mlpack/core/data/load_image_impl.hpp
/usr/include/mlpack/core/data/load_impl.hpp
/usr/include/mlpack/core/data/load_model_impl.hpp
/usr/include/mlpack/core/data/load_numeric_csv.hpp
/usr/include/mlpack/core/data/load_vec_impl.hpp
/usr/include/mlpack/core/data/map_policies
/usr/include/mlpack/core/data/map_policies/datatype.hpp
/usr/include/mlpack/core/data/map_policies/increment_policy.hpp
/usr/include/mlpack/core/data/map_policies/map_policies.hpp
/usr/include/mlpack/core/data/map_policies/missing_policy.hpp
/usr/include/mlpack/core/data/normalize_labels.hpp
/usr/include/mlpack/core/data/normalize_labels_impl.hpp
/usr/include/mlpack/core/data/one_hot_encoding.hpp
/usr/include/mlpack/core/data/one_hot_encoding_impl.hpp
/usr/include/mlpack/core/data/save.hpp
/usr/include/mlpack/core/data/save_image.hpp
/usr/include/mlpack/core/data/save_image_impl.hpp
/usr/include/mlpack/core/data/save_impl.hpp
/usr/include/mlpack/core/data/scaler_methods
/usr/include/mlpack/core/data/scaler_methods/max_abs_scaler.hpp
/usr/include/mlpack/core/data/scaler_methods/mean_normalization.hpp
/usr/include/mlpack/core/data/scaler_methods/min_max_scaler.hpp
/usr/include/mlpack/core/data/scaler_methods/pca_whitening.hpp
/usr/include/mlpack/core/data/scaler_methods/scaler_methods.hpp
/usr/include/mlpack/core/data/scaler_methods/standard_scaler.hpp
/usr/include/mlpack/core/data/scaler_methods/zca_whitening.hpp
/usr/include/mlpack/core/data/split_data.hpp
/usr/include/mlpack/core/data/string_algorithms.hpp
/usr/include/mlpack/core/data/string_encoding.hpp
/usr/include/mlpack/core/data/string_encoding_dictionary.hpp
/usr/include/mlpack/core/data/string_encoding_impl.hpp
/usr/include/mlpack/core/data/string_encoding_policies
/usr/include/mlpack/core/data/string_encoding_policies/bag_of_words_encoding_policy.hpp
/usr/include/mlpack/core/data/string_encoding_policies/dictionary_encoding_policy.hpp
/usr/include/mlpack/core/data/string_encoding_policies/policy_traits.hpp
/usr/include/mlpack/core/data/string_encoding_policies/string_encoding_policies.hpp
/usr/include/mlpack/core/data/string_encoding_policies/tf_idf_encoding_policy.hpp
/usr/include/mlpack/core/data/tokenizers
/usr/include/mlpack/core/data/tokenizers/char_extract.hpp
/usr/include/mlpack/core/data/tokenizers/split_by_any_of.hpp
/usr/include/mlpack/core/data/tokenizers/tokenizers.hpp
/usr/include/mlpack/core/data/types.hpp
/usr/include/mlpack/core/data/types_impl.hpp
/usr/include/mlpack/core/dists
/usr/include/mlpack/core/dists/diagonal_gaussian_distribution.hpp
/usr/include/mlpack/core/dists/diagonal_gaussian_distribution_impl.hpp
/usr/include/mlpack/core/dists/discrete_distribution.hpp
/usr/include/mlpack/core/dists/discrete_distribution_impl.hpp
/usr/include/mlpack/core/dists/dists.hpp
/usr/include/mlpack/core/dists/gamma_distribution.hpp
/usr/include/mlpack/core/dists/gamma_distribution_impl.hpp
/usr/include/mlpack/core/dists/gaussian_distribution.hpp
/usr/include/mlpack/core/dists/gaussian_distribution_impl.hpp
/usr/include/mlpack/core/dists/laplace_distribution.hpp
/usr/include/mlpack/core/dists/laplace_distribution_impl.hpp
/usr/include/mlpack/core/dists/regression_distribution.hpp
/usr/include/mlpack/core/dists/regression_distribution_impl.hpp
/usr/include/mlpack/core/hpt
/usr/include/mlpack/core/hpt/cv_function.hpp
/usr/include/mlpack/core/hpt/cv_function_impl.hpp
/usr/include/mlpack/core/hpt/deduce_hp_types.hpp
/usr/include/mlpack/core/hpt/fixed.hpp
/usr/include/mlpack/core/hpt/hpt.hpp
/usr/include/mlpack/core/hpt/hpt_impl.hpp
/usr/include/mlpack/core/kernels
/usr/include/mlpack/core/kernels/cauchy_kernel.hpp
/usr/include/mlpack/core/kernels/cosine_distance.hpp
/usr/include/mlpack/core/kernels/cosine_distance_impl.hpp
/usr/include/mlpack/core/kernels/epanechnikov_kernel.hpp
/usr/include/mlpack/core/kernels/epanechnikov_kernel_impl.hpp
/usr/include/mlpack/core/kernels/example_kernel.hpp
/usr/include/mlpack/core/kernels/gaussian_kernel.hpp
/usr/include/mlpack/core/kernels/hyperbolic_tangent_kernel.hpp
/usr/include/mlpack/core/kernels/kernel_traits.hpp
/usr/include/mlpack/core/kernels/kernels.hpp
/usr/include/mlpack/core/kernels/laplacian_kernel.hpp
/usr/include/mlpack/core/kernels/linear_kernel.hpp
/usr/include/mlpack/core/kernels/polynomial_kernel.hpp
/usr/include/mlpack/core/kernels/pspectrum_string_kernel.hpp
/usr/include/mlpack/core/kernels/pspectrum_string_kernel_impl.hpp
/usr/include/mlpack/core/kernels/spherical_kernel.hpp
/usr/include/mlpack/core/kernels/triangular_kernel.hpp
/usr/include/mlpack/core/math
/usr/include/mlpack/core/math/ccov.hpp
/usr/include/mlpack/core/math/ccov_impl.hpp
/usr/include/mlpack/core/math/clamp.hpp
/usr/include/mlpack/core/math/columns_to_blocks.hpp
/usr/include/mlpack/core/math/columns_to_blocks_impl.hpp
/usr/include/mlpack/core/math/digamma.hpp
/usr/include/mlpack/core/math/lin_alg.hpp
/usr/include/mlpack/core/math/lin_alg_impl.hpp
/usr/include/mlpack/core/math/log_add.hpp
/usr/include/mlpack/core/math/log_add_impl.hpp
/usr/include/mlpack/core/math/make_alias.hpp
/usr/include/mlpack/core/math/math.hpp
/usr/include/mlpack/core/math/multiply_slices.hpp
/usr/include/mlpack/core/math/multiply_slices_impl.hpp
/usr/include/mlpack/core/math/quantile.hpp
/usr/include/mlpack/core/math/random.hpp
/usr/include/mlpack/core/math/random_basis.hpp
/usr/include/mlpack/core/math/random_basis_impl.hpp
/usr/include/mlpack/core/math/range.hpp
/usr/include/mlpack/core/math/range_impl.hpp
/usr/include/mlpack/core/math/round.hpp
/usr/include/mlpack/core/math/shuffle_data.hpp
/usr/include/mlpack/core/math/trigamma.hpp
/usr/include/mlpack/core/metrics
/usr/include/mlpack/core/metrics/bleu.hpp
/usr/include/mlpack/core/metrics/bleu_impl.hpp
/usr/include/mlpack/core/metrics/iou_metric.hpp
/usr/include/mlpack/core/metrics/iou_metric_impl.hpp
/usr/include/mlpack/core/metrics/ip_metric.hpp
/usr/include/mlpack/core/metrics/ip_metric_impl.hpp
/usr/include/mlpack/core/metrics/lmetric.hpp
/usr/include/mlpack/core/metrics/lmetric_impl.hpp
/usr/include/mlpack/core/metrics/mahalanobis_distance.hpp
/usr/include/mlpack/core/metrics/mahalanobis_distance_impl.hpp
/usr/include/mlpack/core/metrics/metrics.hpp
/usr/include/mlpack/core/metrics/non_maximal_suppression.hpp
/usr/include/mlpack/core/metrics/non_maximal_suppression_impl.hpp
/usr/include/mlpack/core/std_backport
/usr/include/mlpack/core/std_backport/LICENSE.txt
/usr/include/mlpack/core/std_backport/README.md
/usr/include/mlpack/core/std_backport/algorithm.hpp
/usr/include/mlpack/core/std_backport/any.hpp
/usr/include/mlpack/core/std_backport/functional.hpp
/usr/include/mlpack/core/std_backport/internal.hpp
/usr/include/mlpack/core/std_backport/iterator.hpp
/usr/include/mlpack/core/std_backport/meta.hpp
/usr/include/mlpack/core/std_backport/range.hpp
/usr/include/mlpack/core/std_backport/string_view.hpp
/usr/include/mlpack/core/std_backport/type_traits.hpp
/usr/include/mlpack/core/std_backport/typeinfo.hpp
/usr/include/mlpack/core/std_backport/utility.hpp
/usr/include/mlpack/core/tree
/usr/include/mlpack/core/tree/address.hpp
/usr/include/mlpack/core/tree/ballbound.hpp
/usr/include/mlpack/core/tree/ballbound_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree
/usr/include/mlpack/core/tree/binary_space_tree.hpp
/usr/include/mlpack/core/tree/binary_space_tree/binary_space_tree.hpp
/usr/include/mlpack/core/tree/binary_space_tree/binary_space_tree_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/breadth_first_dual_tree_traverser.hpp
/usr/include/mlpack/core/tree/binary_space_tree/breadth_first_dual_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/dual_tree_traverser.hpp
/usr/include/mlpack/core/tree/binary_space_tree/dual_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/mean_split.hpp
/usr/include/mlpack/core/tree/binary_space_tree/mean_split_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/midpoint_split.hpp
/usr/include/mlpack/core/tree/binary_space_tree/midpoint_split_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/rp_tree_max_split.hpp
/usr/include/mlpack/core/tree/binary_space_tree/rp_tree_max_split_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/rp_tree_mean_split.hpp
/usr/include/mlpack/core/tree/binary_space_tree/rp_tree_mean_split_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/single_tree_traverser.hpp
/usr/include/mlpack/core/tree/binary_space_tree/single_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/traits.hpp
/usr/include/mlpack/core/tree/binary_space_tree/typedef.hpp
/usr/include/mlpack/core/tree/binary_space_tree/ub_tree_split.hpp
/usr/include/mlpack/core/tree/binary_space_tree/ub_tree_split_impl.hpp
/usr/include/mlpack/core/tree/binary_space_tree/vantage_point_split.hpp
/usr/include/mlpack/core/tree/binary_space_tree/vantage_point_split_impl.hpp
/usr/include/mlpack/core/tree/bound_traits.hpp
/usr/include/mlpack/core/tree/bounds.hpp
/usr/include/mlpack/core/tree/build_tree.hpp
/usr/include/mlpack/core/tree/cellbound.hpp
/usr/include/mlpack/core/tree/cellbound_impl.hpp
/usr/include/mlpack/core/tree/cosine_tree
/usr/include/mlpack/core/tree/cosine_tree/cosine_tree.hpp
/usr/include/mlpack/core/tree/cosine_tree/cosine_tree_impl.hpp
/usr/include/mlpack/core/tree/cover_tree
/usr/include/mlpack/core/tree/cover_tree.hpp
/usr/include/mlpack/core/tree/cover_tree/cover_tree.hpp
/usr/include/mlpack/core/tree/cover_tree/cover_tree_impl.hpp
/usr/include/mlpack/core/tree/cover_tree/dual_tree_traverser.hpp
/usr/include/mlpack/core/tree/cover_tree/dual_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/cover_tree/first_point_is_root.hpp
/usr/include/mlpack/core/tree/cover_tree/single_tree_traverser.hpp
/usr/include/mlpack/core/tree/cover_tree/single_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/cover_tree/traits.hpp
/usr/include/mlpack/core/tree/cover_tree/typedef.hpp
/usr/include/mlpack/core/tree/enumerate_tree.hpp
/usr/include/mlpack/core/tree/example_tree.hpp
/usr/include/mlpack/core/tree/greedy_single_tree_traverser.hpp
/usr/include/mlpack/core/tree/greedy_single_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/hollow_ball_bound.hpp
/usr/include/mlpack/core/tree/hollow_ball_bound_impl.hpp
/usr/include/mlpack/core/tree/hrectbound.hpp
/usr/include/mlpack/core/tree/hrectbound_impl.hpp
/usr/include/mlpack/core/tree/octree
/usr/include/mlpack/core/tree/octree.hpp
/usr/include/mlpack/core/tree/octree/dual_tree_traverser.hpp
/usr/include/mlpack/core/tree/octree/dual_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/octree/octree.hpp
/usr/include/mlpack/core/tree/octree/octree_impl.hpp
/usr/include/mlpack/core/tree/octree/single_tree_traverser.hpp
/usr/include/mlpack/core/tree/octree/single_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/octree/traits.hpp
/usr/include/mlpack/core/tree/perform_split.hpp
/usr/include/mlpack/core/tree/rectangle_tree
/usr/include/mlpack/core/tree/rectangle_tree.hpp
/usr/include/mlpack/core/tree/rectangle_tree/discrete_hilbert_value.hpp
/usr/include/mlpack/core/tree/rectangle_tree/discrete_hilbert_value_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/dual_tree_traverser.hpp
/usr/include/mlpack/core/tree/rectangle_tree/dual_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/hilbert_r_tree_auxiliary_information.hpp
/usr/include/mlpack/core/tree/rectangle_tree/hilbert_r_tree_auxiliary_information_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/hilbert_r_tree_descent_heuristic.hpp
/usr/include/mlpack/core/tree/rectangle_tree/hilbert_r_tree_descent_heuristic_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/hilbert_r_tree_split.hpp
/usr/include/mlpack/core/tree/rectangle_tree/hilbert_r_tree_split_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/minimal_coverage_sweep.hpp
/usr/include/mlpack/core/tree/rectangle_tree/minimal_coverage_sweep_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/minimal_splits_number_sweep.hpp
/usr/include/mlpack/core/tree/rectangle_tree/minimal_splits_number_sweep_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/no_auxiliary_information.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_plus_tree_auxiliary_information.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_plus_tree_auxiliary_information_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_plus_tree_descent_heuristic.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_plus_tree_descent_heuristic_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_plus_tree_split_policy.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_tree_descent_heuristic.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_tree_descent_heuristic_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_tree_split.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_tree_split_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_plus_tree_split_policy.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_star_tree_descent_heuristic.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_star_tree_descent_heuristic_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_star_tree_split.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_star_tree_split_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_tree_descent_heuristic.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_tree_descent_heuristic_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_tree_split.hpp
/usr/include/mlpack/core/tree/rectangle_tree/r_tree_split_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/rectangle_tree.hpp
/usr/include/mlpack/core/tree/rectangle_tree/rectangle_tree_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/single_tree_traverser.hpp
/usr/include/mlpack/core/tree/rectangle_tree/single_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/rectangle_tree/traits.hpp
/usr/include/mlpack/core/tree/rectangle_tree/typedef.hpp
/usr/include/mlpack/core/tree/rectangle_tree/x_tree_auxiliary_information.hpp
/usr/include/mlpack/core/tree/rectangle_tree/x_tree_split.hpp
/usr/include/mlpack/core/tree/rectangle_tree/x_tree_split_impl.hpp
/usr/include/mlpack/core/tree/space_split
/usr/include/mlpack/core/tree/space_split/hyperplane.hpp
/usr/include/mlpack/core/tree/space_split/mean_space_split.hpp
/usr/include/mlpack/core/tree/space_split/mean_space_split_impl.hpp
/usr/include/mlpack/core/tree/space_split/midpoint_space_split.hpp
/usr/include/mlpack/core/tree/space_split/midpoint_space_split_impl.hpp
/usr/include/mlpack/core/tree/space_split/projection_vector.hpp
/usr/include/mlpack/core/tree/space_split/space_split.hpp
/usr/include/mlpack/core/tree/space_split/space_split_impl.hpp
/usr/include/mlpack/core/tree/spill_tree
/usr/include/mlpack/core/tree/spill_tree.hpp
/usr/include/mlpack/core/tree/spill_tree/is_spill_tree.hpp
/usr/include/mlpack/core/tree/spill_tree/spill_dual_tree_traverser.hpp
/usr/include/mlpack/core/tree/spill_tree/spill_dual_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/spill_tree/spill_single_tree_traverser.hpp
/usr/include/mlpack/core/tree/spill_tree/spill_single_tree_traverser_impl.hpp
/usr/include/mlpack/core/tree/spill_tree/spill_tree.hpp
/usr/include/mlpack/core/tree/spill_tree/spill_tree_impl.hpp
/usr/include/mlpack/core/tree/spill_tree/traits.hpp
/usr/include/mlpack/core/tree/spill_tree/typedef.hpp
/usr/include/mlpack/core/tree/statistic.hpp
/usr/include/mlpack/core/tree/traversal_info.hpp
/usr/include/mlpack/core/tree/tree.hpp
/usr/include/mlpack/core/tree/tree_traits.hpp
/usr/include/mlpack/core/util
/usr/include/mlpack/core/util/arma_traits.hpp
/usr/include/mlpack/core/util/backtrace.hpp
/usr/include/mlpack/core/util/backtrace_impl.hpp
/usr/include/mlpack/core/util/binding_details.hpp
/usr/include/mlpack/core/util/deprecated.hpp
/usr/include/mlpack/core/util/forward.hpp
/usr/include/mlpack/core/util/hyphenate_string.hpp
/usr/include/mlpack/core/util/io.hpp
/usr/include/mlpack/core/util/io_impl.hpp
/usr/include/mlpack/core/util/is_std_vector.hpp
/usr/include/mlpack/core/util/log.hpp
/usr/include/mlpack/core/util/log_impl.hpp
/usr/include/mlpack/core/util/mlpack_main.hpp
/usr/include/mlpack/core/util/nulloutstream.hpp
/usr/include/mlpack/core/util/param.hpp
/usr/include/mlpack/core/util/param_checks.hpp
/usr/include/mlpack/core/util/param_checks_impl.hpp
/usr/include/mlpack/core/util/param_data.hpp
/usr/include/mlpack/core/util/params.hpp
/usr/include/mlpack/core/util/params_impl.hpp
/usr/include/mlpack/core/util/prefixedoutstream.hpp
/usr/include/mlpack/core/util/prefixedoutstream_impl.hpp
/usr/include/mlpack/core/util/program_doc.hpp
/usr/include/mlpack/core/util/program_doc_impl.hpp
/usr/include/mlpack/core/util/sfinae_utility.hpp
/usr/include/mlpack/core/util/size_checks.hpp
/usr/include/mlpack/core/util/timers.hpp
/usr/include/mlpack/core/util/timers_impl.hpp
/usr/include/mlpack/core/util/to_lower.hpp
/usr/include/mlpack/core/util/version.hpp
/usr/include/mlpack/core/util/version_impl.hpp
/usr/include/mlpack/methods
/usr/include/mlpack/methods/CMakeLists.txt
/usr/include/mlpack/methods/adaboost
/usr/include/mlpack/methods/adaboost.hpp
/usr/include/mlpack/methods/adaboost/adaboost.hpp
/usr/include/mlpack/methods/adaboost/adaboost_classify_main.cpp
/usr/include/mlpack/methods/adaboost/adaboost_impl.hpp
/usr/include/mlpack/methods/adaboost/adaboost_main.cpp
/usr/include/mlpack/methods/adaboost/adaboost_model.hpp
/usr/include/mlpack/methods/adaboost/adaboost_model_impl.hpp
/usr/include/mlpack/methods/adaboost/adaboost_probabilities_main.cpp
/usr/include/mlpack/methods/adaboost/adaboost_train_main.cpp
/usr/include/mlpack/methods/amf
/usr/include/mlpack/methods/amf.hpp
/usr/include/mlpack/methods/amf/amf.hpp
/usr/include/mlpack/methods/amf/amf_impl.hpp
/usr/include/mlpack/methods/amf/init_rules
/usr/include/mlpack/methods/amf/init_rules/average_init.hpp
/usr/include/mlpack/methods/amf/init_rules/given_init.hpp
/usr/include/mlpack/methods/amf/init_rules/init_rules.hpp
/usr/include/mlpack/methods/amf/init_rules/merge_init.hpp
/usr/include/mlpack/methods/amf/init_rules/random_acol_init.hpp
/usr/include/mlpack/methods/amf/init_rules/random_init.hpp
/usr/include/mlpack/methods/amf/termination_policies
/usr/include/mlpack/methods/amf/termination_policies/complete_incremental_termination.hpp
/usr/include/mlpack/methods/amf/termination_policies/incomplete_incremental_termination.hpp
/usr/include/mlpack/methods/amf/termination_policies/max_iteration_termination.hpp
/usr/include/mlpack/methods/amf/termination_policies/simple_residue_termination.hpp
/usr/include/mlpack/methods/amf/termination_policies/simple_tolerance_termination.hpp
/usr/include/mlpack/methods/amf/termination_policies/termination_policies.hpp
/usr/include/mlpack/methods/amf/termination_policies/validation_rmse_termination.hpp
/usr/include/mlpack/methods/amf/update_rules
/usr/include/mlpack/methods/amf/update_rules/nmf_als.hpp
/usr/include/mlpack/methods/amf/update_rules/nmf_mult_dist.hpp
/usr/include/mlpack/methods/amf/update_rules/nmf_mult_div.hpp
/usr/include/mlpack/methods/amf/update_rules/svd_batch_learning.hpp
/usr/include/mlpack/methods/amf/update_rules/svd_complete_incremental_learning.hpp
/usr/include/mlpack/methods/amf/update_rules/svd_incomplete_incremental_learning.hpp
/usr/include/mlpack/methods/amf/update_rules/update_rules.hpp
/usr/include/mlpack/methods/ann
/usr/include/mlpack/methods/ann.hpp
/usr/include/mlpack/methods/ann/activation_functions
/usr/include/mlpack/methods/ann/activation_functions/activation_functions.hpp
/usr/include/mlpack/methods/ann/activation_functions/bipolar_sigmoid_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/elish_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/elliot_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/gaussian_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/gelu_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/hard_sigmoid_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/hard_swish_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/hyper_sinh_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/identity_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/inverse_quadratic_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/lisht_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/logistic_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/mish_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/multi_quadratic_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/poisson1_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/quadratic_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/rectifier_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/silu_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/softplus_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/softsign_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/spline_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/swish_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/tanh_exponential_function.hpp
/usr/include/mlpack/methods/ann/activation_functions/tanh_function.hpp
/usr/include/mlpack/methods/ann/ann.hpp
/usr/include/mlpack/methods/ann/augmented
/usr/include/mlpack/methods/ann/augmented/augmented.hpp
/usr/include/mlpack/methods/ann/augmented/tasks
/usr/include/mlpack/methods/ann/augmented/tasks/add.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/add_impl.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/copy.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/copy_impl.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/score.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/score_impl.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/sort.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/sort_impl.hpp
/usr/include/mlpack/methods/ann/augmented/tasks/tasks.hpp
/usr/include/mlpack/methods/ann/convolution_rules
/usr/include/mlpack/methods/ann/convolution_rules/border_modes.hpp
/usr/include/mlpack/methods/ann/convolution_rules/convolution_rules.hpp
/usr/include/mlpack/methods/ann/convolution_rules/fft_convolution.hpp
/usr/include/mlpack/methods/ann/convolution_rules/naive_convolution.hpp
/usr/include/mlpack/methods/ann/convolution_rules/svd_convolution.hpp
/usr/include/mlpack/methods/ann/dists
/usr/include/mlpack/methods/ann/dists/bernoulli_distribution.hpp
/usr/include/mlpack/methods/ann/dists/bernoulli_distribution_impl.hpp
/usr/include/mlpack/methods/ann/dists/dists.hpp
/usr/include/mlpack/methods/ann/dists/normal_distribution.hpp
/usr/include/mlpack/methods/ann/dists/normal_distribution_impl.hpp
/usr/include/mlpack/methods/ann/ffn.hpp
/usr/include/mlpack/methods/ann/ffn_impl.hpp
/usr/include/mlpack/methods/ann/forward_decls.hpp
/usr/include/mlpack/methods/ann/init_rules
/usr/include/mlpack/methods/ann/init_rules/const_init.hpp
/usr/include/mlpack/methods/ann/init_rules/gaussian_init.hpp
/usr/include/mlpack/methods/ann/init_rules/glorot_init.hpp
/usr/include/mlpack/methods/ann/init_rules/he_init.hpp
/usr/include/mlpack/methods/ann/init_rules/init_rules.hpp
/usr/include/mlpack/methods/ann/init_rules/init_rules_traits.hpp
/usr/include/mlpack/methods/ann/init_rules/kathirvalavakumar_subavathi_init.hpp
/usr/include/mlpack/methods/ann/init_rules/lecun_normal_init.hpp
/usr/include/mlpack/methods/ann/init_rules/network_init.hpp
/usr/include/mlpack/methods/ann/init_rules/nguyen_widrow_init.hpp
/usr/include/mlpack/methods/ann/init_rules/oivs_init.hpp
/usr/include/mlpack/methods/ann/init_rules/orthogonal_init.hpp
/usr/include/mlpack/methods/ann/init_rules/random_init.hpp
/usr/include/mlpack/methods/ann/layer
/usr/include/mlpack/methods/ann/layer/adaptive_max_pooling.hpp
/usr/include/mlpack/methods/ann/layer/adaptive_max_pooling_impl.hpp
/usr/include/mlpack/methods/ann/layer/adaptive_mean_pooling.hpp
/usr/include/mlpack/methods/ann/layer/adaptive_mean_pooling_impl.hpp
/usr/include/mlpack/methods/ann/layer/add.hpp
/usr/include/mlpack/methods/ann/layer/add_impl.hpp
/usr/include/mlpack/methods/ann/layer/add_merge.hpp
/usr/include/mlpack/methods/ann/layer/add_merge_impl.hpp
/usr/include/mlpack/methods/ann/layer/alpha_dropout.hpp
/usr/include/mlpack/methods/ann/layer/alpha_dropout_impl.hpp
/usr/include/mlpack/methods/ann/layer/base_layer.hpp
/usr/include/mlpack/methods/ann/layer/batch_norm.hpp
/usr/include/mlpack/methods/ann/layer/batch_norm_impl.hpp
/usr/include/mlpack/methods/ann/layer/c_relu.hpp
/usr/include/mlpack/methods/ann/layer/c_relu_impl.hpp
/usr/include/mlpack/methods/ann/layer/celu.hpp
/usr/include/mlpack/methods/ann/layer/celu_impl.hpp
/usr/include/mlpack/methods/ann/layer/concat.hpp
/usr/include/mlpack/methods/ann/layer/concat_impl.hpp
/usr/include/mlpack/methods/ann/layer/concatenate.hpp
/usr/include/mlpack/methods/ann/layer/concatenate_impl.hpp
/usr/include/mlpack/methods/ann/layer/convolution.hpp
/usr/include/mlpack/methods/ann/layer/convolution_impl.hpp
/usr/include/mlpack/methods/ann/layer/dropconnect.hpp
/usr/include/mlpack/methods/ann/layer/dropconnect_impl.hpp
/usr/include/mlpack/methods/ann/layer/dropout.hpp
/usr/include/mlpack/methods/ann/layer/dropout_impl.hpp
/usr/include/mlpack/methods/ann/layer/elu.hpp
/usr/include/mlpack/methods/ann/layer/elu_impl.hpp
/usr/include/mlpack/methods/ann/layer/flexible_relu.hpp
/usr/include/mlpack/methods/ann/layer/flexible_relu_impl.hpp
/usr/include/mlpack/methods/ann/layer/ftswish.hpp
/usr/include/mlpack/methods/ann/layer/ftswish_impl.hpp
/usr/include/mlpack/methods/ann/layer/grouped_convolution.hpp
/usr/include/mlpack/methods/ann/layer/grouped_convolution_impl.hpp
/usr/include/mlpack/methods/ann/layer/hard_tanh.hpp
/usr/include/mlpack/methods/ann/layer/hard_tanh_impl.hpp
/usr/include/mlpack/methods/ann/layer/identity.hpp
/usr/include/mlpack/methods/ann/layer/identity_impl.hpp
/usr/include/mlpack/methods/ann/layer/layer.hpp
/usr/include/mlpack/methods/ann/layer/layer_norm.hpp
/usr/include/mlpack/methods/ann/layer/layer_norm_impl.hpp
/usr/include/mlpack/methods/ann/layer/layer_types.hpp
/usr/include/mlpack/methods/ann/layer/leaky_relu.hpp
/usr/include/mlpack/methods/ann/layer/leaky_relu_impl.hpp
/usr/include/mlpack/methods/ann/layer/linear.hpp
/usr/include/mlpack/methods/ann/layer/linear3d.hpp
/usr/include/mlpack/methods/ann/layer/linear3d_impl.hpp
/usr/include/mlpack/methods/ann/layer/linear_impl.hpp
/usr/include/mlpack/methods/ann/layer/linear_no_bias.hpp
/usr/include/mlpack/methods/ann/layer/linear_no_bias_impl.hpp
/usr/include/mlpack/methods/ann/layer/log_softmax.hpp
/usr/include/mlpack/methods/ann/layer/log_softmax_impl.hpp
/usr/include/mlpack/methods/ann/layer/lstm.hpp
/usr/include/mlpack/methods/ann/layer/lstm_impl.hpp
/usr/include/mlpack/methods/ann/layer/max_pooling.hpp
/usr/include/mlpack/methods/ann/layer/max_pooling_impl.hpp
/usr/include/mlpack/methods/ann/layer/mean_pooling.hpp
/usr/include/mlpack/methods/ann/layer/mean_pooling_impl.hpp
/usr/include/mlpack/methods/ann/layer/multi_layer.hpp
/usr/include/mlpack/methods/ann/layer/multi_layer_impl.hpp
/usr/include/mlpack/methods/ann/layer/multihead_attention.hpp
/usr/include/mlpack/methods/ann/layer/multihead_attention_impl.hpp
/usr/include/mlpack/methods/ann/layer/noisylinear.hpp
/usr/include/mlpack/methods/ann/layer/noisylinear_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted
/usr/include/mlpack/methods/ann/layer/not_adapted/README.md
/usr/include/mlpack/methods/ann/layer/not_adapted/atrous_convolution.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/atrous_convolution_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/bicubic_interpolation.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/bicubic_interpolation_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/bilinear_interpolation.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/bilinear_interpolation_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/channel_shuffle.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/channel_shuffle_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/concat_performance.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/concat_performance_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/constant.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/constant_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/fast_lstm.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/fast_lstm_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/flatten_t_swish.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/flatten_t_swish_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/glimpse.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/glimpse_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/group_norm.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/group_norm_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/gru.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/gru_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/hardshrink.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/hardshrink_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/highway.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/highway_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/instance_norm.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/instance_norm_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/isrlu.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/isrlu_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/join.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/join_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/lookup.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/lookup_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/lp_pooling.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/lp_pooling_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/minibatch_discrimination.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/minibatch_discrimination_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/multiply_constant.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/multiply_constant_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/multiply_merge.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/multiply_merge_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/nearest_interpolation.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/nearest_interpolation_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/pixel_shuffle.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/pixel_shuffle_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/positional_encoding.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/positional_encoding_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/recurrent.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/recurrent_attention.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/recurrent_attention_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/recurrent_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/reinforce_normal.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/reinforce_normal_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/reparametrization.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/reparametrization_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/select.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/select_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/sequential.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/sequential_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/softshrink.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/softshrink_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/spatial_dropout.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/spatial_dropout_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/subview.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/transposed_convolution.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/transposed_convolution_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/virtual_batch_norm.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/virtual_batch_norm_impl.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/weight_norm.hpp
/usr/include/mlpack/methods/ann/layer/not_adapted/weight_norm_impl.hpp
/usr/include/mlpack/methods/ann/layer/padding.hpp
/usr/include/mlpack/methods/ann/layer/padding_impl.hpp
/usr/include/mlpack/methods/ann/layer/parametric_relu.hpp
/usr/include/mlpack/methods/ann/layer/parametric_relu_impl.hpp
/usr/include/mlpack/methods/ann/layer/radial_basis_function.hpp
/usr/include/mlpack/methods/ann/layer/radial_basis_function_impl.hpp
/usr/include/mlpack/methods/ann/layer/recurrent_layer.hpp
/usr/include/mlpack/methods/ann/layer/recurrent_layer_impl.hpp
/usr/include/mlpack/methods/ann/layer/relu6.hpp
/usr/include/mlpack/methods/ann/layer/relu6_impl.hpp
/usr/include/mlpack/methods/ann/layer/serialization.hpp
/usr/include/mlpack/methods/ann/layer/softmax.hpp
/usr/include/mlpack/methods/ann/layer/softmax_impl.hpp
/usr/include/mlpack/methods/ann/layer/softmin.hpp
/usr/include/mlpack/methods/ann/layer/softmin_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions
/usr/include/mlpack/methods/ann/loss_functions/binary_cross_entropy_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/binary_cross_entropy_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/cosine_embedding_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/cosine_embedding_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/dice_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/dice_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/earth_mover_distance.hpp
/usr/include/mlpack/methods/ann/loss_functions/earth_mover_distance_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/empty_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/empty_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/hinge_embedding_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/hinge_embedding_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/hinge_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/hinge_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/huber_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/huber_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/kl_divergence.hpp
/usr/include/mlpack/methods/ann/loss_functions/kl_divergence_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/l1_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/l1_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/log_cosh_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/log_cosh_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/loss_functions.hpp
/usr/include/mlpack/methods/ann/loss_functions/margin_ranking_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/margin_ranking_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_absolute_percentage_error.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_absolute_percentage_error_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_bias_error.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_bias_error_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_squared_error.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_squared_error_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_squared_logarithmic_error.hpp
/usr/include/mlpack/methods/ann/loss_functions/mean_squared_logarithmic_error_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/multilabel_softmargin_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/multilabel_softmargin_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/negative_log_likelihood.hpp
/usr/include/mlpack/methods/ann/loss_functions/negative_log_likelihood_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/poisson_nll_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/poisson_nll_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/reconstruction_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/reconstruction_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/sigmoid_cross_entropy_error.hpp
/usr/include/mlpack/methods/ann/loss_functions/sigmoid_cross_entropy_error_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/soft_margin_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/soft_margin_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/triplet_margin_loss.hpp
/usr/include/mlpack/methods/ann/loss_functions/triplet_margin_loss_impl.hpp
/usr/include/mlpack/methods/ann/loss_functions/vr_class_reward.hpp
/usr/include/mlpack/methods/ann/loss_functions/vr_class_reward_impl.hpp
/usr/include/mlpack/methods/ann/make_alias.hpp
/usr/include/mlpack/methods/ann/not_adapted
/usr/include/mlpack/methods/ann/not_adapted/brnn.hpp
/usr/include/mlpack/methods/ann/not_adapted/brnn_impl.hpp
/usr/include/mlpack/methods/ann/not_adapted/gan
/usr/include/mlpack/methods/ann/not_adapted/gan/gan.hpp
/usr/include/mlpack/methods/ann/not_adapted/gan/gan_impl.hpp
/usr/include/mlpack/methods/ann/not_adapted/gan/gan_policies.hpp
/usr/include/mlpack/methods/ann/not_adapted/gan/metrics
/usr/include/mlpack/methods/ann/not_adapted/gan/metrics/inception_score.hpp
/usr/include/mlpack/methods/ann/not_adapted/gan/metrics/inception_score_impl.hpp
/usr/include/mlpack/methods/ann/not_adapted/gan/wgan_impl.hpp
/usr/include/mlpack/methods/ann/not_adapted/gan/wgangp_impl.hpp
/usr/include/mlpack/methods/ann/not_adapted/rbm
/usr/include/mlpack/methods/ann/not_adapted/rbm/rbm.hpp
/usr/include/mlpack/methods/ann/not_adapted/rbm/rbm_impl.hpp
/usr/include/mlpack/methods/ann/not_adapted/rbm/rbm_policies.hpp
/usr/include/mlpack/methods/ann/not_adapted/rbm/spike_slab_rbm_impl.hpp
/usr/include/mlpack/methods/ann/regularizer
/usr/include/mlpack/methods/ann/regularizer/lregularizer.hpp
/usr/include/mlpack/methods/ann/regularizer/lregularizer_impl.hpp
/usr/include/mlpack/methods/ann/regularizer/no_regularizer.hpp
/usr/include/mlpack/methods/ann/regularizer/orthogonal_regularizer.hpp
/usr/include/mlpack/methods/ann/regularizer/orthogonal_regularizer_impl.hpp
/usr/include/mlpack/methods/ann/regularizer/regularizer.hpp
/usr/include/mlpack/methods/ann/rnn.hpp
/usr/include/mlpack/methods/ann/rnn_impl.hpp
/usr/include/mlpack/methods/approx_kfn
/usr/include/mlpack/methods/approx_kfn.hpp
/usr/include/mlpack/methods/approx_kfn/approx_kfn.hpp
/usr/include/mlpack/methods/approx_kfn/approx_kfn_main.cpp
/usr/include/mlpack/methods/approx_kfn/drusilla_select.hpp
/usr/include/mlpack/methods/approx_kfn/drusilla_select_impl.hpp
/usr/include/mlpack/methods/approx_kfn/qdafn.hpp
/usr/include/mlpack/methods/approx_kfn/qdafn_impl.hpp
/usr/include/mlpack/methods/bayesian_linear_regression
/usr/include/mlpack/methods/bayesian_linear_regression.hpp
/usr/include/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression.hpp
/usr/include/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_impl.hpp
/usr/include/mlpack/methods/bayesian_linear_regression/bayesian_linear_regression_main.cpp
/usr/include/mlpack/methods/bias_svd
/usr/include/mlpack/methods/bias_svd.hpp
/usr/include/mlpack/methods/bias_svd/bias_svd.hpp
/usr/include/mlpack/methods/bias_svd/bias_svd_function.hpp
/usr/include/mlpack/methods/bias_svd/bias_svd_function_impl.hpp
/usr/include/mlpack/methods/bias_svd/bias_svd_impl.hpp
/usr/include/mlpack/methods/block_krylov_svd
/usr/include/mlpack/methods/block_krylov_svd.hpp
/usr/include/mlpack/methods/block_krylov_svd/block_krylov_svd.hpp
/usr/include/mlpack/methods/block_krylov_svd/randomized_block_krylov_svd.hpp
/usr/include/mlpack/methods/block_krylov_svd/randomized_block_krylov_svd_impl.hpp
/usr/include/mlpack/methods/cf
/usr/include/mlpack/methods/cf.hpp
/usr/include/mlpack/methods/cf/cf.hpp
/usr/include/mlpack/methods/cf/cf_impl.hpp
/usr/include/mlpack/methods/cf/cf_main.cpp
/usr/include/mlpack/methods/cf/cf_model.hpp
/usr/include/mlpack/methods/cf/cf_model_impl.hpp
/usr/include/mlpack/methods/cf/decomposition_policies
/usr/include/mlpack/methods/cf/decomposition_policies/batch_svd_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/bias_svd_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/block_krylov_svd_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/decomposition_policies.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/nmf_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/quic_svd_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/randomized_svd_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/regularized_svd_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/svd_complete_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/svd_incomplete_method.hpp
/usr/include/mlpack/methods/cf/decomposition_policies/svdplusplus_method.hpp
/usr/include/mlpack/methods/cf/interpolation_policies
/usr/include/mlpack/methods/cf/interpolation_policies/average_interpolation.hpp
/usr/include/mlpack/methods/cf/interpolation_policies/interpolation_policies.hpp
/usr/include/mlpack/methods/cf/interpolation_policies/regression_interpolation.hpp
/usr/include/mlpack/methods/cf/interpolation_policies/similarity_interpolation.hpp
/usr/include/mlpack/methods/cf/neighbor_search_policies
/usr/include/mlpack/methods/cf/neighbor_search_policies/cosine_search.hpp
/usr/include/mlpack/methods/cf/neighbor_search_policies/lmetric_search.hpp
/usr/include/mlpack/methods/cf/neighbor_search_policies/neighbor_search_policies.hpp
/usr/include/mlpack/methods/cf/neighbor_search_policies/pearson_search.hpp
/usr/include/mlpack/methods/cf/normalization
/usr/include/mlpack/methods/cf/normalization/combined_normalization.hpp
/usr/include/mlpack/methods/cf/normalization/item_mean_normalization.hpp
/usr/include/mlpack/methods/cf/normalization/no_normalization.hpp
/usr/include/mlpack/methods/cf/normalization/normalization.hpp
/usr/include/mlpack/methods/cf/normalization/overall_mean_normalization.hpp
/usr/include/mlpack/methods/cf/normalization/user_mean_normalization.hpp
/usr/include/mlpack/methods/cf/normalization/z_score_normalization.hpp
/usr/include/mlpack/methods/cf/svd_wrapper.hpp
/usr/include/mlpack/methods/cf/svd_wrapper_impl.hpp
/usr/include/mlpack/methods/dbscan
/usr/include/mlpack/methods/dbscan.hpp
/usr/include/mlpack/methods/dbscan/dbscan.hpp
/usr/include/mlpack/methods/dbscan/dbscan_impl.hpp
/usr/include/mlpack/methods/dbscan/dbscan_main.cpp
/usr/include/mlpack/methods/dbscan/ordered_point_selection.hpp
/usr/include/mlpack/methods/dbscan/random_point_selection.hpp
/usr/include/mlpack/methods/decision_tree
/usr/include/mlpack/methods/decision_tree.hpp
/usr/include/mlpack/methods/decision_tree/all_categorical_split.hpp
/usr/include/mlpack/methods/decision_tree/all_categorical_split_impl.hpp
/usr/include/mlpack/methods/decision_tree/all_dimension_select.hpp
/usr/include/mlpack/methods/decision_tree/best_binary_numeric_split.hpp
/usr/include/mlpack/methods/decision_tree/best_binary_numeric_split_impl.hpp
/usr/include/mlpack/methods/decision_tree/decision_tree.hpp
/usr/include/mlpack/methods/decision_tree/decision_tree_impl.hpp
/usr/include/mlpack/methods/decision_tree/decision_tree_main.cpp
/usr/include/mlpack/methods/decision_tree/decision_tree_regressor.hpp
/usr/include/mlpack/methods/decision_tree/decision_tree_regressor_impl.hpp
/usr/include/mlpack/methods/decision_tree/gini_gain.hpp
/usr/include/mlpack/methods/decision_tree/information_gain.hpp
/usr/include/mlpack/methods/decision_tree/mad_gain.hpp
/usr/include/mlpack/methods/decision_tree/mse_gain.hpp
/usr/include/mlpack/methods/decision_tree/multiple_random_dimension_select.hpp
/usr/include/mlpack/methods/decision_tree/random_binary_numeric_split.hpp
/usr/include/mlpack/methods/decision_tree/random_binary_numeric_split_impl.hpp
/usr/include/mlpack/methods/decision_tree/random_dimension_select.hpp
/usr/include/mlpack/methods/decision_tree/utils.hpp
/usr/include/mlpack/methods/det
/usr/include/mlpack/methods/det.hpp
/usr/include/mlpack/methods/det/det.hpp
/usr/include/mlpack/methods/det/det_main.cpp
/usr/include/mlpack/methods/det/dt_utils.hpp
/usr/include/mlpack/methods/det/dt_utils_impl.hpp
/usr/include/mlpack/methods/det/dtree.hpp
/usr/include/mlpack/methods/det/dtree_impl.hpp
/usr/include/mlpack/methods/emst
/usr/include/mlpack/methods/emst.hpp
/usr/include/mlpack/methods/emst/dtb.hpp
/usr/include/mlpack/methods/emst/dtb_impl.hpp
/usr/include/mlpack/methods/emst/dtb_rules.hpp
/usr/include/mlpack/methods/emst/dtb_rules_impl.hpp
/usr/include/mlpack/methods/emst/dtb_stat.hpp
/usr/include/mlpack/methods/emst/edge_pair.hpp
/usr/include/mlpack/methods/emst/emst.hpp
/usr/include/mlpack/methods/emst/emst_main.cpp
/usr/include/mlpack/methods/emst/union_find.hpp
/usr/include/mlpack/methods/fastmks
/usr/include/mlpack/methods/fastmks.hpp
/usr/include/mlpack/methods/fastmks/fastmks.hpp
/usr/include/mlpack/methods/fastmks/fastmks_impl.hpp
/usr/include/mlpack/methods/fastmks/fastmks_main.cpp
/usr/include/mlpack/methods/fastmks/fastmks_model.hpp
/usr/include/mlpack/methods/fastmks/fastmks_model_impl.hpp
/usr/include/mlpack/methods/fastmks/fastmks_rules.hpp
/usr/include/mlpack/methods/fastmks/fastmks_rules_impl.hpp
/usr/include/mlpack/methods/fastmks/fastmks_stat.hpp
/usr/include/mlpack/methods/gmm
/usr/include/mlpack/methods/gmm.hpp
/usr/include/mlpack/methods/gmm/diagonal_constraint.hpp
/usr/include/mlpack/methods/gmm/diagonal_gmm.hpp
/usr/include/mlpack/methods/gmm/diagonal_gmm_impl.hpp
/usr/include/mlpack/methods/gmm/eigenvalue_ratio_constraint.hpp
/usr/include/mlpack/methods/gmm/em_fit.hpp
/usr/include/mlpack/methods/gmm/em_fit_impl.hpp
/usr/include/mlpack/methods/gmm/gmm.hpp
/usr/include/mlpack/methods/gmm/gmm_generate_main.cpp
/usr/include/mlpack/methods/gmm/gmm_impl.hpp
/usr/include/mlpack/methods/gmm/gmm_probability_main.cpp
/usr/include/mlpack/methods/gmm/gmm_train_main.cpp
/usr/include/mlpack/methods/gmm/no_constraint.hpp
/usr/include/mlpack/methods/gmm/positive_definite_constraint.hpp
/usr/include/mlpack/methods/hmm
/usr/include/mlpack/methods/hmm.hpp
/usr/include/mlpack/methods/hmm/hmm.hpp
/usr/include/mlpack/methods/hmm/hmm_generate_main.cpp
/usr/include/mlpack/methods/hmm/hmm_impl.hpp
/usr/include/mlpack/methods/hmm/hmm_loglik_main.cpp
/usr/include/mlpack/methods/hmm/hmm_model.hpp
/usr/include/mlpack/methods/hmm/hmm_train_main.cpp
/usr/include/mlpack/methods/hmm/hmm_util.hpp
/usr/include/mlpack/methods/hmm/hmm_util_impl.hpp
/usr/include/mlpack/methods/hmm/hmm_viterbi_main.cpp
/usr/include/mlpack/methods/hoeffding_trees
/usr/include/mlpack/methods/hoeffding_trees.hpp
/usr/include/mlpack/methods/hoeffding_trees/binary_numeric_split.hpp
/usr/include/mlpack/methods/hoeffding_trees/binary_numeric_split_impl.hpp
/usr/include/mlpack/methods/hoeffding_trees/binary_numeric_split_info.hpp
/usr/include/mlpack/methods/hoeffding_trees/categorical_split_info.hpp
/usr/include/mlpack/methods/hoeffding_trees/gini_impurity.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_categorical_split.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_categorical_split_impl.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_numeric_split.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_numeric_split_impl.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_tree.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_tree_impl.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_tree_main.cpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_tree_model.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_tree_model_impl.hpp
/usr/include/mlpack/methods/hoeffding_trees/hoeffding_trees.hpp
/usr/include/mlpack/methods/hoeffding_trees/information_gain.hpp
/usr/include/mlpack/methods/hoeffding_trees/numeric_split_info.hpp
/usr/include/mlpack/methods/hoeffding_trees/typedef.hpp
/usr/include/mlpack/methods/kde
/usr/include/mlpack/methods/kde.hpp
/usr/include/mlpack/methods/kde/kde.hpp
/usr/include/mlpack/methods/kde/kde_impl.hpp
/usr/include/mlpack/methods/kde/kde_main.cpp
/usr/include/mlpack/methods/kde/kde_model.hpp
/usr/include/mlpack/methods/kde/kde_model_impl.hpp
/usr/include/mlpack/methods/kde/kde_rules.hpp
/usr/include/mlpack/methods/kde/kde_rules_impl.hpp
/usr/include/mlpack/methods/kde/kde_stat.hpp
/usr/include/mlpack/methods/kernel_pca
/usr/include/mlpack/methods/kernel_pca.hpp
/usr/include/mlpack/methods/kernel_pca/kernel_pca.hpp
/usr/include/mlpack/methods/kernel_pca/kernel_pca_impl.hpp
/usr/include/mlpack/methods/kernel_pca/kernel_pca_main.cpp
/usr/include/mlpack/methods/kernel_pca/kernel_rules
/usr/include/mlpack/methods/kernel_pca/kernel_rules/naive_method.hpp
/usr/include/mlpack/methods/kernel_pca/kernel_rules/nystroem_method.hpp
/usr/include/mlpack/methods/kmeans
/usr/include/mlpack/methods/kmeans.hpp
/usr/include/mlpack/methods/kmeans/allow_empty_clusters.hpp
/usr/include/mlpack/methods/kmeans/dual_tree_kmeans.hpp
/usr/include/mlpack/methods/kmeans/dual_tree_kmeans_impl.hpp
/usr/include/mlpack/methods/kmeans/dual_tree_kmeans_rules.hpp
/usr/include/mlpack/methods/kmeans/dual_tree_kmeans_rules_impl.hpp
/usr/include/mlpack/methods/kmeans/dual_tree_kmeans_statistic.hpp
/usr/include/mlpack/methods/kmeans/elkan_kmeans.hpp
/usr/include/mlpack/methods/kmeans/elkan_kmeans_impl.hpp
/usr/include/mlpack/methods/kmeans/hamerly_kmeans.hpp
/usr/include/mlpack/methods/kmeans/hamerly_kmeans_impl.hpp
/usr/include/mlpack/methods/kmeans/kill_empty_clusters.hpp
/usr/include/mlpack/methods/kmeans/kmeans.hpp
/usr/include/mlpack/methods/kmeans/kmeans_impl.hpp
/usr/include/mlpack/methods/kmeans/kmeans_main.cpp
/usr/include/mlpack/methods/kmeans/kmeans_plus_plus_initialization.hpp
/usr/include/mlpack/methods/kmeans/max_variance_new_cluster.hpp
/usr/include/mlpack/methods/kmeans/max_variance_new_cluster_impl.hpp
/usr/include/mlpack/methods/kmeans/naive_kmeans.hpp
/usr/include/mlpack/methods/kmeans/naive_kmeans_impl.hpp
/usr/include/mlpack/methods/kmeans/pelleg_moore_kmeans.hpp
/usr/include/mlpack/methods/kmeans/pelleg_moore_kmeans_impl.hpp
/usr/include/mlpack/methods/kmeans/pelleg_moore_kmeans_rules.hpp
/usr/include/mlpack/methods/kmeans/pelleg_moore_kmeans_rules_impl.hpp
/usr/include/mlpack/methods/kmeans/pelleg_moore_kmeans_statistic.hpp
/usr/include/mlpack/methods/kmeans/random_partition.hpp
/usr/include/mlpack/methods/kmeans/refined_start.hpp
/usr/include/mlpack/methods/kmeans/refined_start_impl.hpp
/usr/include/mlpack/methods/kmeans/sample_initialization.hpp
/usr/include/mlpack/methods/lars
/usr/include/mlpack/methods/lars.hpp
/usr/include/mlpack/methods/lars/lars.hpp
/usr/include/mlpack/methods/lars/lars_impl.hpp
/usr/include/mlpack/methods/lars/lars_main.cpp
/usr/include/mlpack/methods/linear_regression
/usr/include/mlpack/methods/linear_regression.hpp
/usr/include/mlpack/methods/linear_regression/linear_regression.hpp
/usr/include/mlpack/methods/linear_regression/linear_regression_impl.hpp
/usr/include/mlpack/methods/linear_regression/linear_regression_main.cpp
/usr/include/mlpack/methods/linear_regression/linear_regression_predict_main.cpp
/usr/include/mlpack/methods/linear_regression/linear_regression_train_main.cpp
/usr/include/mlpack/methods/linear_svm
/usr/include/mlpack/methods/linear_svm.hpp
/usr/include/mlpack/methods/linear_svm/linear_svm.hpp
/usr/include/mlpack/methods/linear_svm/linear_svm_function.hpp
/usr/include/mlpack/methods/linear_svm/linear_svm_function_impl.hpp
/usr/include/mlpack/methods/linear_svm/linear_svm_impl.hpp
/usr/include/mlpack/methods/linear_svm/linear_svm_main.cpp
/usr/include/mlpack/methods/lmnn
/usr/include/mlpack/methods/lmnn.hpp
/usr/include/mlpack/methods/lmnn/constraints.hpp
/usr/include/mlpack/methods/lmnn/constraints_impl.hpp
/usr/include/mlpack/methods/lmnn/lmnn.hpp
/usr/include/mlpack/methods/lmnn/lmnn_function.hpp
/usr/include/mlpack/methods/lmnn/lmnn_function_impl.hpp
/usr/include/mlpack/methods/lmnn/lmnn_impl.hpp
/usr/include/mlpack/methods/lmnn/lmnn_main.cpp
/usr/include/mlpack/methods/local_coordinate_coding
/usr/include/mlpack/methods/local_coordinate_coding.hpp
/usr/include/mlpack/methods/local_coordinate_coding/lcc.hpp
/usr/include/mlpack/methods/local_coordinate_coding/lcc_impl.hpp
/usr/include/mlpack/methods/local_coordinate_coding/local_coordinate_coding.hpp
/usr/include/mlpack/methods/local_coordinate_coding/local_coordinate_coding_main.cpp
/usr/include/mlpack/methods/logistic_regression
/usr/include/mlpack/methods/logistic_regression.hpp
/usr/include/mlpack/methods/logistic_regression/logistic_regression.hpp
/usr/include/mlpack/methods/logistic_regression/logistic_regression_function.hpp
/usr/include/mlpack/methods/logistic_regression/logistic_regression_function_impl.hpp
/usr/include/mlpack/methods/logistic_regression/logistic_regression_impl.hpp
/usr/include/mlpack/methods/logistic_regression/logistic_regression_main.cpp
/usr/include/mlpack/methods/lsh
/usr/include/mlpack/methods/lsh.hpp
/usr/include/mlpack/methods/lsh/lsh.hpp
/usr/include/mlpack/methods/lsh/lsh_main.cpp
/usr/include/mlpack/methods/lsh/lsh_search.hpp
/usr/include/mlpack/methods/lsh/lsh_search_impl.hpp
/usr/include/mlpack/methods/matrix_completion
/usr/include/mlpack/methods/matrix_completion.hpp
/usr/include/mlpack/methods/matrix_completion/matrix_completion.hpp
/usr/include/mlpack/methods/matrix_completion/matrix_completion_impl.hpp
/usr/include/mlpack/methods/mean_shift
/usr/include/mlpack/methods/mean_shift.hpp
/usr/include/mlpack/methods/mean_shift/mean_shift.hpp
/usr/include/mlpack/methods/mean_shift/mean_shift_impl.hpp
/usr/include/mlpack/methods/mean_shift/mean_shift_main.cpp
/usr/include/mlpack/methods/naive_bayes
/usr/include/mlpack/methods/naive_bayes.hpp
/usr/include/mlpack/methods/naive_bayes/naive_bayes.hpp
/usr/include/mlpack/methods/naive_bayes/naive_bayes_classifier.hpp
/usr/include/mlpack/methods/naive_bayes/naive_bayes_classifier_impl.hpp
/usr/include/mlpack/methods/naive_bayes/nbc_main.cpp
/usr/include/mlpack/methods/nca
/usr/include/mlpack/methods/nca.hpp
/usr/include/mlpack/methods/nca/nca.hpp
/usr/include/mlpack/methods/nca/nca_impl.hpp
/usr/include/mlpack/methods/nca/nca_main.cpp
/usr/include/mlpack/methods/nca/nca_softmax_error_function.hpp
/usr/include/mlpack/methods/nca/nca_softmax_error_function_impl.hpp
/usr/include/mlpack/methods/neighbor_search
/usr/include/mlpack/methods/neighbor_search.hpp
/usr/include/mlpack/methods/neighbor_search/kfn_main.cpp
/usr/include/mlpack/methods/neighbor_search/knn_main.cpp
/usr/include/mlpack/methods/neighbor_search/neighbor_search.hpp
/usr/include/mlpack/methods/neighbor_search/neighbor_search_impl.hpp
/usr/include/mlpack/methods/neighbor_search/neighbor_search_rules.hpp
/usr/include/mlpack/methods/neighbor_search/neighbor_search_rules_impl.hpp
/usr/include/mlpack/methods/neighbor_search/neighbor_search_stat.hpp
/usr/include/mlpack/methods/neighbor_search/ns_model.hpp
/usr/include/mlpack/methods/neighbor_search/ns_model_impl.hpp
/usr/include/mlpack/methods/neighbor_search/sort_policies
/usr/include/mlpack/methods/neighbor_search/sort_policies/furthest_neighbor_sort.hpp
/usr/include/mlpack/methods/neighbor_search/sort_policies/furthest_neighbor_sort_impl.hpp
/usr/include/mlpack/methods/neighbor_search/sort_policies/nearest_neighbor_sort.hpp
/usr/include/mlpack/methods/neighbor_search/sort_policies/nearest_neighbor_sort_impl.hpp
/usr/include/mlpack/methods/neighbor_search/typedef.hpp
/usr/include/mlpack/methods/neighbor_search/unmap.hpp
/usr/include/mlpack/methods/neighbor_search/unmap_impl.hpp
/usr/include/mlpack/methods/nmf
/usr/include/mlpack/methods/nmf.hpp
/usr/include/mlpack/methods/nmf/nmf.hpp
/usr/include/mlpack/methods/nmf/nmf_main.cpp
/usr/include/mlpack/methods/nystroem_method
/usr/include/mlpack/methods/nystroem_method.hpp
/usr/include/mlpack/methods/nystroem_method/kmeans_selection.hpp
/usr/include/mlpack/methods/nystroem_method/nystroem_method.hpp
/usr/include/mlpack/methods/nystroem_method/nystroem_method_impl.hpp
/usr/include/mlpack/methods/nystroem_method/ordered_selection.hpp
/usr/include/mlpack/methods/nystroem_method/random_selection.hpp
/usr/include/mlpack/methods/pca
/usr/include/mlpack/methods/pca.hpp
/usr/include/mlpack/methods/pca/decomposition_policies
/usr/include/mlpack/methods/pca/decomposition_policies/decomposition_policies.hpp
/usr/include/mlpack/methods/pca/decomposition_policies/exact_svd_method.hpp
/usr/include/mlpack/methods/pca/decomposition_policies/quic_svd_method.hpp
/usr/include/mlpack/methods/pca/decomposition_policies/randomized_block_krylov_method.hpp
/usr/include/mlpack/methods/pca/decomposition_policies/randomized_svd_method.hpp
/usr/include/mlpack/methods/pca/pca.hpp
/usr/include/mlpack/methods/pca/pca_impl.hpp
/usr/include/mlpack/methods/pca/pca_main.cpp
/usr/include/mlpack/methods/perceptron
/usr/include/mlpack/methods/perceptron.hpp
/usr/include/mlpack/methods/perceptron/initialization_methods
/usr/include/mlpack/methods/perceptron/initialization_methods/initialization_methods.hpp
/usr/include/mlpack/methods/perceptron/initialization_methods/random_init.hpp
/usr/include/mlpack/methods/perceptron/initialization_methods/zero_init.hpp
/usr/include/mlpack/methods/perceptron/learning_policies
/usr/include/mlpack/methods/perceptron/learning_policies/learning_policies.hpp
/usr/include/mlpack/methods/perceptron/learning_policies/simple_weight_update.hpp
/usr/include/mlpack/methods/perceptron/perceptron.hpp
/usr/include/mlpack/methods/perceptron/perceptron_impl.hpp
/usr/include/mlpack/methods/perceptron/perceptron_main.cpp
/usr/include/mlpack/methods/preprocess
/usr/include/mlpack/methods/preprocess.hpp
/usr/include/mlpack/methods/preprocess/image_converter_main.cpp
/usr/include/mlpack/methods/preprocess/preprocess.hpp
/usr/include/mlpack/methods/preprocess/preprocess_binarize_main.cpp
/usr/include/mlpack/methods/preprocess/preprocess_describe_main.cpp
/usr/include/mlpack/methods/preprocess/preprocess_imputer_main.cpp
/usr/include/mlpack/methods/preprocess/preprocess_one_hot_encoding_main.cpp
/usr/include/mlpack/methods/preprocess/preprocess_scale_main.cpp
/usr/include/mlpack/methods/preprocess/preprocess_split_main.cpp
/usr/include/mlpack/methods/preprocess/scaling_model.hpp
/usr/include/mlpack/methods/preprocess/scaling_model_impl.hpp
/usr/include/mlpack/methods/quic_svd
/usr/include/mlpack/methods/quic_svd.hpp
/usr/include/mlpack/methods/quic_svd/quic_svd.hpp
/usr/include/mlpack/methods/quic_svd/quic_svd_impl.hpp
/usr/include/mlpack/methods/radical
/usr/include/mlpack/methods/radical.hpp
/usr/include/mlpack/methods/radical/radical.hpp
/usr/include/mlpack/methods/radical/radical_impl.hpp
/usr/include/mlpack/methods/radical/radical_main.cpp
/usr/include/mlpack/methods/random_forest
/usr/include/mlpack/methods/random_forest.hpp
/usr/include/mlpack/methods/random_forest/bootstrap.hpp
/usr/include/mlpack/methods/random_forest/random_forest.hpp
/usr/include/mlpack/methods/random_forest/random_forest_impl.hpp
/usr/include/mlpack/methods/random_forest/random_forest_main.cpp
/usr/include/mlpack/methods/randomized_svd
/usr/include/mlpack/methods/randomized_svd.hpp
/usr/include/mlpack/methods/randomized_svd/randomized_svd.hpp
/usr/include/mlpack/methods/randomized_svd/randomized_svd_impl.hpp
/usr/include/mlpack/methods/range_search
/usr/include/mlpack/methods/range_search.hpp
/usr/include/mlpack/methods/range_search/range_search.hpp
/usr/include/mlpack/methods/range_search/range_search_impl.hpp
/usr/include/mlpack/methods/range_search/range_search_main.cpp
/usr/include/mlpack/methods/range_search/range_search_rules.hpp
/usr/include/mlpack/methods/range_search/range_search_rules_impl.hpp
/usr/include/mlpack/methods/range_search/range_search_stat.hpp
/usr/include/mlpack/methods/range_search/rs_model.hpp
/usr/include/mlpack/methods/range_search/rs_model_impl.hpp
/usr/include/mlpack/methods/rann
/usr/include/mlpack/methods/rann.hpp
/usr/include/mlpack/methods/rann/krann_main.cpp
/usr/include/mlpack/methods/rann/ra_model.hpp
/usr/include/mlpack/methods/rann/ra_model_impl.hpp
/usr/include/mlpack/methods/rann/ra_query_stat.hpp
/usr/include/mlpack/methods/rann/ra_search.hpp
/usr/include/mlpack/methods/rann/ra_search_impl.hpp
/usr/include/mlpack/methods/rann/ra_search_rules.hpp
/usr/include/mlpack/methods/rann/ra_search_rules_impl.hpp
/usr/include/mlpack/methods/rann/ra_typedef.hpp
/usr/include/mlpack/methods/rann/ra_util.hpp
/usr/include/mlpack/methods/rann/ra_util_impl.hpp
/usr/include/mlpack/methods/rann/rann.hpp
/usr/include/mlpack/methods/regularized_svd
/usr/include/mlpack/methods/regularized_svd.hpp
/usr/include/mlpack/methods/regularized_svd/regularized_svd.hpp
/usr/include/mlpack/methods/regularized_svd/regularized_svd_function.hpp
/usr/include/mlpack/methods/regularized_svd/regularized_svd_function_impl.hpp
/usr/include/mlpack/methods/regularized_svd/regularized_svd_impl.hpp
/usr/include/mlpack/methods/reinforcement_learning
/usr/include/mlpack/methods/reinforcement_learning.hpp
/usr/include/mlpack/methods/reinforcement_learning/async_learning.hpp
/usr/include/mlpack/methods/reinforcement_learning/async_learning_impl.hpp
/usr/include/mlpack/methods/reinforcement_learning/ddpg.hpp
/usr/include/mlpack/methods/reinforcement_learning/ddpg_impl.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment
/usr/include/mlpack/methods/reinforcement_learning/environment/acrobot.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/cart_pole.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/cont_double_pole_cart.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/continuous_mountain_car.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/double_pole_cart.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/env_type.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/environment.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/ftn.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/ftn_param.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/mountain_car.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/pendulum.hpp
/usr/include/mlpack/methods/reinforcement_learning/environment/reward_clipping.hpp
/usr/include/mlpack/methods/reinforcement_learning/noise
/usr/include/mlpack/methods/reinforcement_learning/noise/gaussian.hpp
/usr/include/mlpack/methods/reinforcement_learning/noise/noise.hpp
/usr/include/mlpack/methods/reinforcement_learning/noise/ornstein_uhlenbeck.hpp
/usr/include/mlpack/methods/reinforcement_learning/policy
/usr/include/mlpack/methods/reinforcement_learning/policy/aggregated_policy.hpp
/usr/include/mlpack/methods/reinforcement_learning/policy/greedy_policy.hpp
/usr/include/mlpack/methods/reinforcement_learning/policy/policy.hpp
/usr/include/mlpack/methods/reinforcement_learning/q_learning.hpp
/usr/include/mlpack/methods/reinforcement_learning/q_learning_impl.hpp
/usr/include/mlpack/methods/reinforcement_learning/q_networks
/usr/include/mlpack/methods/reinforcement_learning/q_networks/categorical_dqn.hpp
/usr/include/mlpack/methods/reinforcement_learning/q_networks/dueling_dqn.hpp
/usr/include/mlpack/methods/reinforcement_learning/q_networks/q_networks.hpp
/usr/include/mlpack/methods/reinforcement_learning/q_networks/simple_dqn.hpp
/usr/include/mlpack/methods/reinforcement_learning/reinforcement_learning.hpp
/usr/include/mlpack/methods/reinforcement_learning/replay
/usr/include/mlpack/methods/reinforcement_learning/replay/prioritized_replay.hpp
/usr/include/mlpack/methods/reinforcement_learning/replay/random_replay.hpp
/usr/include/mlpack/methods/reinforcement_learning/replay/replay.hpp
/usr/include/mlpack/methods/reinforcement_learning/replay/sumtree.hpp
/usr/include/mlpack/methods/reinforcement_learning/sac.hpp
/usr/include/mlpack/methods/reinforcement_learning/sac_impl.hpp
/usr/include/mlpack/methods/reinforcement_learning/td3.hpp
/usr/include/mlpack/methods/reinforcement_learning/td3_impl.hpp
/usr/include/mlpack/methods/reinforcement_learning/training_config.hpp
/usr/include/mlpack/methods/reinforcement_learning/worker
/usr/include/mlpack/methods/reinforcement_learning/worker/n_step_q_learning_worker.hpp
/usr/include/mlpack/methods/reinforcement_learning/worker/one_step_q_learning_worker.hpp
/usr/include/mlpack/methods/reinforcement_learning/worker/one_step_sarsa_worker.hpp
/usr/include/mlpack/methods/reinforcement_learning/worker/worker.hpp
/usr/include/mlpack/methods/softmax_regression
/usr/include/mlpack/methods/softmax_regression.hpp
/usr/include/mlpack/methods/softmax_regression/softmax_regression.hpp
/usr/include/mlpack/methods/softmax_regression/softmax_regression_function.hpp
/usr/include/mlpack/methods/softmax_regression/softmax_regression_function_impl.hpp
/usr/include/mlpack/methods/softmax_regression/softmax_regression_impl.hpp
/usr/include/mlpack/methods/softmax_regression/softmax_regression_main.cpp
/usr/include/mlpack/methods/sparse_autoencoder
/usr/include/mlpack/methods/sparse_autoencoder.hpp
/usr/include/mlpack/methods/sparse_autoencoder/maximal_inputs.hpp
/usr/include/mlpack/methods/sparse_autoencoder/maximal_inputs_impl.hpp
/usr/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder.hpp
/usr/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.hpp
/usr/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function_impl.hpp
/usr/include/mlpack/methods/sparse_autoencoder/sparse_autoencoder_impl.hpp
/usr/include/mlpack/methods/sparse_coding
/usr/include/mlpack/methods/sparse_coding.hpp
/usr/include/mlpack/methods/sparse_coding/data_dependent_random_initializer.hpp
/usr/include/mlpack/methods/sparse_coding/nothing_initializer.hpp
/usr/include/mlpack/methods/sparse_coding/random_initializer.hpp
/usr/include/mlpack/methods/sparse_coding/sparse_coding.hpp
/usr/include/mlpack/methods/sparse_coding/sparse_coding_impl.hpp
/usr/include/mlpack/methods/sparse_coding/sparse_coding_main.cpp
/usr/include/mlpack/methods/svdplusplus
/usr/include/mlpack/methods/svdplusplus.hpp
/usr/include/mlpack/methods/svdplusplus/svdplusplus.hpp
/usr/include/mlpack/methods/svdplusplus/svdplusplus_function.hpp
/usr/include/mlpack/methods/svdplusplus/svdplusplus_function_impl.hpp
/usr/include/mlpack/methods/svdplusplus/svdplusplus_impl.hpp
/usr/include/mlpack/methods/xgboost
/usr/include/mlpack/methods/xgboost/loss_functions
/usr/include/mlpack/methods/xgboost/loss_functions/sse_loss.hpp
/usr/include/mlpack/namespace_compat.hpp
/usr/include/mlpack/prereqs.hpp
/usr/lib64/pkgconfig/mlpack.pc

Generated by rpm2html 1.8.1

Fabrice Bellet, Wed Jul 10 00:08:09 2024

mlpack-devel-4.3.0-3.fc40 RPM for s390x

From Fedora 40 for s390x / m

Provides

Requires

License

Changelog

Files