# 使用 Homebrew, MacPorts 安装 mallet 查看 mallet 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。 ## 安装 ```sh sudo av install brew:mallet ``` 其他安装命令: ### macOS - Homebrew (100%): ```sh brew install mallet ``` 证据: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install mallet ``` 证据: MacPorts ports tree: math/mallet/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## 软件包事实 - **软件包键:** brew:mallet - **软件包管理器:** Homebrew - **版本:** 202108 - **来源摘要:** MAchine Learning for LanguagE Toolkit - **主页:** - **仓库:** - **最后更新:** 2026-06-22T14:05:26-07:00 - **已生成:** 2026-08-03T19:37:03+00:00 ## 可执行文件 - classifier2info (别名) - csv2classify (别名) - csv2vectors (别名) - mallet (别名) - mallethon (别名) - prepend-license.sh (别名) - svmlight2vectors (别名) - text2classify (别名) - text2vectors (别名) - vectors2classify (别名) - vectors2info (别名) - vectors2topics (别名) - vectors2vectors (别名) ## 安装行为 - Bottle: 不可用 ## 版本和新鲜度 - 页面生成时间: 2026-08-03 - 管理器版本: 202108 ## 项目历史与用法 MALLET, the MAchine Learning for LanguagE Toolkit, is a Java package and command-line toolkit for statistical natural language processing. Its official documentation describes support for document classification, clustering, topic modeling, information extraction, sequence tagging, and other machine-learning applications to text. ### 项目历史 The project is associated with Andrew McCallum's MALLET citation from 2002 and originated in an academic NLP context at UMass. The modern public repository is maintained under the mimno GitHub organization, and the official site identifies it as open source under the Apache 2.0 license. MALLET became especially visible to digital humanities, information science, and NLP users because it packaged algorithms such as Maximum Entropy classifiers, Conditional Random Fields, Latent Dirichlet Allocation, Pachinko Allocation, and Hierarchical LDA behind reusable Java APIs and shell commands. Its 2.1.0 release in 2026 was described by the maintainers as the first stable release since 2.0.8 in 2016, modernizing the build around Java 17 and Maven. ### 采用历史 MALLET's package-manager footprint is modest but important: Homebrew and MacPorts carry it for macOS users who want the historical CLI workflow without building the Java project by hand. The GitHub repository shows roughly a thousand stars and hundreds of forks, which is consistent with a long-lived research toolkit rather than a fast-moving application. The toolkit's adoption has been strongest where reproducible text-analysis workflows matter: topic-modeling corpora, classroom NLP exercises, digital humanities projects, and research code that wants a known implementation rather than a cloud service. ### 使用方式 The command-line workflow centers on `bin/mallet [command] --option value`, with helper commands for importing text or CSV data, converting data to vectors, training classifiers, classifying new text, and running topic models. The README recommends building with Maven or using binary downloads, then running `bin/mallet --help` or a command-specific help option. In packages such as Homebrew, MALLET matters because it turns a Java research toolkit into ordinary terminal commands like `mallet`, `text2vectors`, `vectors2topics`, and `csv2classify`, making it scriptable in shell pipelines and notebooks. ### 为什么软件包爱好者会关心 MALLET is a classic example of a research toolkit that became infrastructure for package-manager users: old enough to have stable workflows, specialized enough that vendoring it is annoying, and still useful when a project needs local NLP processing without a server stack. For package curators, the interesting maintenance points are Java runtime requirements, binary wrapper scripts, and the 2026 shift to Java 17 and Maven. Those details directly affect whether older MALLET recipes keep working on current systems. ### 时间线 - 2002: Andrew McCallum's official MALLET citation identifies the toolkit. - 2016: MALLET 2.0.8 became the last stable release before a long quiet period. - 2021: A serialization-breaking 202108 release changed internal collections and licensing details. - 2026: MALLET 2.1.0 shipped as the first stable release since 2.0.8, requiring Java 17. ### Related projects - GRMM was documented as an add-on package for inference in graphical models and CRF training with arbitrary graphical structure. - MALLET overlaps historically with NLP libraries and topic-modeling stacks, but remains distinctive because it exposes mature algorithms as local Java command-line tools. ### 来源 - - - - source_facts.package-manager ## 安全说明 narrow executable package without higher-risk signals. - **Geiger 风险:** 绿色 / 低 - narrow executable package without higher-risk signals ## 其他软件包管理器记录 - MacPorts - mallet: normalized package name match | MacPorts ports tree: math/mallet/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## Combined YAML source View the package source record on GitHub. [combined/mallet.yml](https://github.com/mxcl/pkgdb/blob/main/combined/mallet.yml) ## 来源 - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - external package-manager database matches - cross-ecosystem install command graph