macOS
Homebrew已验证 · 100%
brew install mlpacklocal Homebrew formula metadata
MacPorts已验证 · 94%
sudo port install mlpackMacPorts ports tree · math/mlpack/Portfile · 来源: api.github.com
安装
其他安装命令
Linux
Debian apt已验证 · 92%
sudo apt install libmlpack-devDebian stable package indexes · libmlpack-dev · 来源: deb.debian.org
Fedora dnf已验证 · 92%
sudo dnf install mlpack-binFedora Rawhide package metadata · mlpack-bin · 来源: dl.fedoraproject.org
概览
软件包摘要
Scalable C++ machine learning library
项目链接
命令和别名
- mlpack_adaboost
- mlpack_approx_kfn
- mlpack_bayesian_linear_regression
- mlpack_cf
- mlpack_dbscan
- mlpack_decision_tree
- mlpack_det
- mlpack_emst
- mlpack_fastmks
- mlpack_gmm_generate
- mlpack_gmm_probability
- mlpack_gmm_train
- mlpack_hmm_generate
- mlpack_hmm_loglik
- mlpack_hmm_train
- mlpack_hmm_viterbi
- mlpack_hoeffding_tree
- mlpack_image_converter
- mlpack_kde
- mlpack_kernel_pca
- mlpack_kfn
- mlpack_kmeans
- mlpack_knn
- mlpack_krann
- mlpack_lars
- mlpack_linear_regression
- mlpack_linear_svm
- mlpack_lmnn
- mlpack_local_coordinate_coding
- mlpack_logistic_regression
- mlpack_lsh
- mlpack_mean_shift
历史
项目历史与用法
mlpack is an open-source C++ machine-learning library whose published history traces back to an original inception in 2007 and a public late-2011 release. The 2013 JMLR paper by Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, and Alexander G. Gray presented MLPACK as a scalable, multi-platform C++ library with a simple API for new users and high-performance flexibility for expert users.
项目历史
The project grew into a broader scientific-computing library and community. A 2018 OpenReview workshop paper described mlpack as emphasizing speed and flexibility and implementing a wide variety of machine-learning algorithms. The 2023 JOSS paper for mlpack 4 marked a major technical milestone: a fast, header-only C++ library release with authorship spanning the expanded contributor community.
使用方式
In practice mlpack is used either as a C++ library, commonly by including `<mlpack.hpp>` and linking against Armadillo, or through command-line programs and bindings for Python, Julia, Go, and R. Its own README describes the project as a machine-learning analogue to LAPACK and as a "swiss army knife" for machine-learning researchers, while the homepage names Armadillo, ensmallen, and cereal as core foundations. In package-manager ecosystems it occupies the intersection of scientific C++ development library and installed algorithm CLI suite, with Homebrew exposing many `mlpack_*` executables for common methods such as k-means, PCA, nearest-neighbor search, random forests, regression, and preprocessing.
来源
安全态势
风险级别：blue
broad file, network, media, or database tool signal.
风险分类器
blue 风险 · 中 置信度 · tool
原因
- broad file, network, media, or database tool signal
信号
- text:image
安装行为
- formula 元数据中未记录 Homebrew post-install 钩子。
- Homebrew bottle 元数据适用于 6 个平台目标。
- 安装时包含 3 个运行时依赖。
- 构建元数据列出 2 个构建依赖。
建议审查
在无人值守的代理使用前，请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
已安装的可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
mlpack_adaboost | cli | 全局可执行文件 | |
mlpack_approx_kfn | cli | 全局可执行文件 | |
mlpack_bayesian_linear_regression | cli | 全局可执行文件 | |
mlpack_cf | cli | 全局可执行文件 | |
mlpack_dbscan | cli | 全局可执行文件 | |
mlpack_decision_tree | cli | 全局可执行文件 | |
mlpack_det | cli | 全局可执行文件 | |
mlpack_emst | cli | 全局可执行文件 | |
mlpack_fastmks | cli | 全局可执行文件 | |
mlpack_gmm_generate | cli | 全局可执行文件 | |
mlpack_gmm_probability | cli | 全局可执行文件 | |
mlpack_gmm_train | cli | 全局可执行文件 | |
mlpack_hmm_generate | cli | 全局可执行文件 | |
mlpack_hmm_loglik | cli | 全局可执行文件 | |
mlpack_hmm_train | cli | 全局可执行文件 | |
mlpack_hmm_viterbi | cli | 全局可执行文件 | |
mlpack_hoeffding_tree | cli | 全局可执行文件 | |
mlpack_image_converter | cli | 全局可执行文件 | |
mlpack_kde | cli | 全局可执行文件 | |
mlpack_kernel_pca | cli | 全局可执行文件 | |
mlpack_kfn | cli | 全局可执行文件 | |
mlpack_kmeans | cli | 全局可执行文件 | |
mlpack_knn | cli | 全局可执行文件 | |
mlpack_krann | cli | 全局可执行文件 | |
mlpack_lars | cli | 全局可执行文件 | |
mlpack_linear_regression | cli | 全局可执行文件 | |
mlpack_linear_svm | cli | 全局可执行文件 | |
mlpack_lmnn | cli | 全局可执行文件 | |
mlpack_local_coordinate_coding | cli | 全局可执行文件 | |
mlpack_logistic_regression | cli | 全局可执行文件 | |
mlpack_lsh | cli | 全局可执行文件 | |
mlpack_mean_shift | cli | 全局可执行文件 | |
mlpack_nbc | cli | 全局可执行文件 | |
mlpack_nca | cli | 全局可执行文件 | |
mlpack_nmf | cli | 全局可执行文件 | |
mlpack_pca | cli | 全局可执行文件 | |
mlpack_perceptron | cli | 全局可执行文件 | |
mlpack_preprocess_binarize | cli | 全局可执行文件 | |
mlpack_preprocess_describe | cli | 全局可执行文件 | |
mlpack_preprocess_imputer | cli | 全局可执行文件 | |
mlpack_preprocess_one_hot_encoding | cli | 全局可执行文件 | |
mlpack_preprocess_scale | cli | 全局可执行文件 | |
mlpack_preprocess_split | cli | 全局可执行文件 | |
mlpack_radical | cli | 全局可执行文件 | |
mlpack_random_forest | cli | 全局可执行文件 | |
mlpack_range_search | cli | 全局可执行文件 | |
mlpack_softmax_regression | cli | 全局可执行文件 | |
mlpack_sparse_coding | cli | 全局可执行文件 |
新鲜度
版本和新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时，才会提示版本落后。
页面生成时间2026-07-25
管理器版本4.8.0
管理器更新时间2026-06-25
本地数据OK
上游not checked
检测到的最新版本未检测到
- 信息Release/tag comparison is only available for GitHub repositories.https://www.mlpack.orgnone 置信度
安装元数据
软件包元数据
| 软件包键 | brew:mlpack |
|---|---|
| 版本 | 4.8.0 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/mlpack |
| 主页 | https://www.mlpack.org |
| 仓库 | https://github.com/mlpack/mlpack |
| 上游文档 | https://www.mlpack.org/doc |
| 许可证 | BSD-3-Clause AND MPL-2.0 AND BSL-1.0 AND MIT |
| 源码归档 | https://mlpack.org/files/mlpack-4.8.0.tar.gz |
| 最后更新 | 2026-06-25T13:37:55+02:00 |
| Pulse | updated |
| 依赖 | armadillo, cereal, ensmallen |
| 构建依赖 | cmake, pkgconf |
| Bottle | 可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
源数据库详情
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | mlpack |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
源数据库匹配
其他软件包管理器记录
匹配项来自外部软件包管理器索引，并与本地 Automic Vault 软件包链接分开显示。
Debian apt95%
libmlpack-dev 4.6.0-1
intuitive, fast, scalable C++ machine learning library (development libs)
sudo apt install libmlpack-dev- Section: libdevel
- Architecture: amd64
- Source Package: mlpack
- 4 依赖
- 2 可选依赖
- normalized package name match
- 匹配方式：Mlpack
Debian apt95%
mlpack-bin 4.6.0-1
intuitive, fast, scalable C++ machine learning library (binaries)
sudo apt install mlpack-bin- Section: science
- Architecture: amd64
- Source Package: mlpack
- 5 依赖
- normalized package name match
- 匹配方式：Mlpack
Debian apt95%
mlpack-doc 4.6.0-1
intuitive, fast, scalable C++ machine learning library (documentation)
sudo apt install mlpack-doc- Section: doc
- Architecture: all
- Source Package: mlpack
- 1 依赖
- normalized package name match
- 匹配方式：Mlpack
Debian apt95%
python3-mlpack 4.6.0-1
intuitive, fast, scalable C++ machine learning library (Python bindings)
sudo apt install python3-mlpack- Section: python
- Architecture: amd64
- Source Package: mlpack
- 10 依赖
- normalized package name match
- 匹配方式：Mlpack
Ubuntu apt95%
libmlpack-dev 4.3.0-2build1
intuitive, fast, scalable C++ machine learning library (development libs)
sudo apt install libmlpack-dev- Section: universe/libdevel
- Architecture: amd64
- Source Package: mlpack
- 6 依赖
- 1 可选依赖
- normalized package name match
- 匹配方式：Mlpack
Ubuntu apt95%
mlpack-bin 4.3.0-2build1
intuitive, fast, scalable C++ machine learning library (binaries)
sudo apt install mlpack-bin- Section: universe/science
- Architecture: amd64
- Source Package: mlpack
- 7 依赖
- normalized package name match
- 匹配方式：Mlpack
Ubuntu apt95%
mlpack-doc 4.3.0-2build1
intuitive, fast, scalable C++ machine learning library (documentation)
sudo apt install mlpack-doc- Section: universe/doc
- Architecture: all
- Source Package: mlpack
- 2 依赖
- normalized package name match
- 匹配方式：Mlpack
Ubuntu apt95%
python3-mlpack 4.3.0-2build1
intuitive, fast, scalable C++ machine learning library (Python bindings)
sudo apt install python3-mlpack- Section: universe/python
- Architecture: amd64
- Source Package: mlpack
- 9 依赖
- normalized package name match
- 匹配方式：Mlpack
dnf95%
mlpack-bin 4.7.0-3.fc45
Command-line executables for mlpack (machine learning library)
sudo dnf install mlpack-bin- License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
- Category: Unspecified
- Architecture: x86_64
- Source Package: mlpack
- 9 依赖
- 1 提供
- normalized package name match
- 匹配方式：Mlpack
dnf95%
mlpack-devel 4.7.0-3.fc45
Development headers for mlpack (C++ machine learning library)
sudo dnf install mlpack-devel- License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
- Category: Unspecified
- Architecture: x86_64
- Source Package: mlpack
- 9 依赖
- 3 提供
- normalized package name match
- 匹配方式：Mlpack
dnf95%
mlpack-licenses 4.7.0-3.fc45
Licenses and information files for mlpack (machine learning library)
sudo dnf install mlpack-licenses- License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
- Category: Unspecified
- Architecture: x86_64
- Source Package: mlpack
- 1 提供
- normalized package name match
- 匹配方式：Mlpack
dnf95%
mlpack-python3 4.7.0-3.fc45
Python 3 bindings for mlpack (C++ machine learning library)
sudo dnf install mlpack-python3- License: BSD-3-Clause AND Apache-2.0 AND (MIT OR Unlicense)
- Category: Unspecified
- Architecture: x86_64
- Source Package: mlpack
- 14 依赖
- 3 提供
- normalized package name match
- 匹配方式：Mlpack
MacPorts95%
mlpack
sudo port install mlpack- normalized package name match
- 匹配方式：Mlpack
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
Combined YAML source
View the package source record on GitHub.
使用的来源
- Geiger risk classifier
- Nucleus package database
- av.db category and tag curation
- cross-ecosystem install command graph
- curated package history
- external package-manager database matches
- package relationship graph
- package version freshness
- package-page enrichment