macOS
Homebrew已验证 · 100%
brew install crfsuitelocal Homebrew formula metadata
MacPorts已验证 · 94%
sudo port install crfsuiteMacPorts ports tree · math/crfsuite/Portfile · 来源: api.github.com
安装
其他安装命令
概览
软件包摘要
Fast implementation of conditional random fields
历史
项目历史与用法
CRFsuite is Naoaki Okazaki's fast implementation of Conditional Random Fields for labeling sequential data. It provides command-line training/tagging, C++ and SWIG APIs, and training algorithms such as L-BFGS, OWL-QN, SGD, averaged perceptron, passive aggressive, and AROW.
项目历史
The official changelog records internal releases beginning with CRFsuite 0.1 on 2007-10-29 and a first public release, 0.4, on 2008-03-05. The 0.4 release added the website, documentation, a tutorial, and a CoNLL 2000 chunking performance comparison.
采用历史
The project page presents CRFsuite as a faster and more flexible CRF package than older template-oriented tools, with a simple data format, benchmark results, and model storage based on CQDB. Version 0.12 added Python SWIG modules and sample programs, including named entity recognition and part-of-speech tagging examples.
使用方式
CRFsuite users train and tag sequence-labeling models with a feature-per-line data format. The official documentation emphasizes speed, training-method choice, performance evaluation during training, and programmatic use through C++ and SWIG APIs.
为什么软件包爱好者会关心
For package maintainers, CRFsuite is a compact C/C++ NLP toolkit with historical source and binary releases, a BSD license, and a small command-line surface. It is also useful as a contrast point with CRF++ because its official page calls out data-format flexibility that CRF++ lacks.
时间线
- 2007-10-29: CRFsuite 0.1 internal release
- 2008-03-05: CRFsuite 0.4 first public release
- 2009-03-07: Version 0.6 added SGD and reduced training memory usage
- 2011-08-11: Version 0.12 optimized training, added more algorithms, revised APIs, and added Python SWIG support
Related projects
- The official page links CRFsuite's data-format comparison to CRF++, and also points to libLBFGS and CQDB as implementation-related software.
来源
安全态势
尚未找到受保护工具覆盖
没有找到 crfsuite 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。
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 12 个平台目标。
- 安装时包含 1 个运行时依赖。
- 构建元数据列出 3 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 |
|---|---|---|---|
crfsuite | 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0.12
管理器更新时间2026-07-10
本地数据OK
上游当前
检测到的最新版本0.12
https://github.com/chokkan/crfsuite
- OK没有生成新鲜度警告。
安装元数据
软件包元数据
| 软件包键 | brew:crfsuite |
|---|---|
| 版本 | 0.12 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/crfsuite |
| 主页 | https://www.chokkan.org/software/crfsuite/ |
| 仓库 | https://github.com/chokkan/crfsuite |
| 上游文档 | https://www.chokkan.org/software/crfsuite |
| 许可证 | BSD-3-Clause |
| 源码归档 | https://github.com/chokkan/crfsuite/archive/refs/tags/0.12.tar.gz |
| 最后更新 | 2026-07-10T13:05:07-04:00 |
| Pulse | updated |
| 依赖 | liblbfgs |
| 构建依赖 | autoconf, automake, libtool |
| Bottle | 可用 (于 arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, monterey, sonoma, ventura, 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 | crfsuite |
| Version Scheme | 0 |
| Revision | 0 |
| Conflicts With |
|
| 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。
MacPorts95%
crfsuite
sudo port install crfsuite- normalized package name match
- 匹配方式：Crfsuite
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
- 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