macOS
Homebrew已验证 · 100%
brew install crf++local Homebrew formula metadata
安装
其他安装命令
概览
软件包摘要
Conditional random fields for segmenting/labeling sequential data
历史
项目历史与用法
CRF++ is Taku Kudo's open-source Conditional Random Fields toolkit for segmenting and labeling sequential data. Its official page positions it as a generic-purpose CRF implementation for natural-language-processing tasks such as named entity recognition, information extraction, and text chunking.
项目历史
The official CRF++ page lists the first release, version 0.1, on 2005-05-28. The release history shows a steady 2005-2007 development period with API work, parallel training, MIRA training, language bindings, L1 regularization, and a license change to LGPL/BSD dual licensing.
采用历史
CRF++ became a familiar package for NLP users because it combined a command-line learner and tester, a template-based feature system, and bindings for several languages. Later releases focused on compatibility and maintenance, including GCC, libtool, C++11, Windows, and model-loading fixes.
使用方式
Users prepare training and test files plus feature templates, train models with crf_learn, and decode with crf_test. The package is especially associated with sequence-labeling experiments where researchers want a compact C++ CRF implementation available from source or OS packages.
为什么软件包爱好者会关心
For package maintainers, CRF++ is a classic NLP C++ library/CLI: old enough to need build-system care, small enough to package directly, and still recognizable because many downstream tutorials and research pipelines refer to crf_learn and crf_test.
时间线
- 2005-05-28: CRF++ 0.1 released
- 2006-03-30: Version 0.41 added parallel training
- 2006-11-26: Version 0.45 added 1-best MIRA training
- 2007-02-12: Version 0.46 changed license to LGPL/BSD dual license and added Perl, Ruby, Python, and Java bindings
- 2007-07-07: Version 0.48 added L1-CRF support
- 2013-02-13: CRF++ 0.58 released
Related projects
- CRF++ is related to later CRF sequence-labeling packages such as CRFsuite, which explicitly compares its data-format flexibility with CRF++.
来源
安全态势
风险级别：绿色
narrow executable package without higher-risk signals.
风险分类器
绿色 风险 · 低 置信度 · appliance
原因
- narrow executable package without higher-risk signals
信号
- metadata:no-higher-risk-signals
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 13 个平台目标。
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 |
|---|---|---|---|
crf_learn | cli | 全局可执行文件 | |
crf_test | 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2026-08-04
管理器版本0.58
管理器更新时间2026-07-24
本地数据OK
上游not checked
检测到的最新版本未检测到
https://taku910.github.io/crfpp/
- 信息Release/tag comparison is only available for GitHub repositories.https://taku910.github.io/crfpp/none 置信度
安装元数据
软件包元数据
| 软件包键 | brew:crf++ |
|---|---|
| 版本 | 0.58 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/crf++ |
| 主页 | https://taku910.github.io/crfpp/ |
| 仓库 | https://github.com/taku910/crfpp |
| 上游文档 | https://taku910.github.io/crfpp/ |
| 许可证 | LGPL-2.1-only OR BSD-3-Clause |
| 源码归档 | https://mirrors.sohu.com/gentoo/distfiles/f2/CRF%2B%2B-0.58.tar.gz |
| 最后更新 | 2026-07-24T20:11:30+09:00 |
| Pulse | updated |
| Bottle | 可用 (于 arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, 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 | crf++ |
| 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 |
|
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
- cross-ecosystem install command graph
- curated package history
- package relationship graph
- package version freshness
- package-page enrichment
- pkg.so package database
- pkgdb category and tag curation