rubix/divorce
Composer 安装命令：
composer create-project rubix/divorce
包简介
Use the K Nearest Neighbors algorithm to predict the probability of a divorce.
关键字：
README 文档
README
Use the K Nearest Neighbors algorithm to predict who of your friends will stay married or get a divorce based on their answers to a 54 question survey about their partner. Included in this project is a 171 sample human-annotated dataset that we'll use to train the learner.
- Difficulty: Easy
- Training time: Less than a minute
Installation
Clone the project locally using Composer:
$ composer create-project rubix/divorce
Requirements
- PHP 7.4 or above
Tutorial
On the map ...
Original Dataset
- Dr. Mustafa Kemal Yöntem, Nevşehir Hacı Bektaş Veli University, Faculty of Education, Department of Educational Sciences, muskemtem '@' hotmail.com
- Dr. Kemal ADEM, Aksaray University, Faculty of Economics and Administrative Sciences, Department of Management Information Systems, kemaladem '@' gmail.com
- Prof. Dr. Tahsin İlhan, Tokat GAZİOSMANPAŞA University, Faculty of Education, Department of Educational Sciences, tahsinilhan73 '@' gmail.com
- Lecturer Serhat Kılıçarslan, Tokat GAZİOSMANPAŞA University, Rectorate, Department of Informatics, serhatklc '@' gmail.com
References
- M. K. Yöntem et al. (2019). Divorce Prediction Using Correlation Based Feature Selection and Artificial Neural Networks.
- Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
- T. A. DeWees et al. (2020). Investigation Into the Effects of Using Normal Distribution Theory Methodology for Likert Scale Patient-Reported Outcome Data From Varying Underlying Distributions Including Floor/Ceiling Effect.
License
The code is licensed MIT and the tutorial is licensed CC BY-NC 4.0.
rubix/divorce 适用场景与选型建议
rubix/divorce 是一款 基于 PHP 开发的 Composer 扩展包，目前已累计 454 次下载、GitHub Stars 达 17， 最近一次更新时间为 2020 年 06 月 18 日， 在 PHP 生态内属于活跃度较高的组件。
它主要适用于以下技术方向： 「php」 「classification」 「dataset」 「machine learning」 「ml」 「tutorial」 等业务场景。在实际项目中，围绕这些方向常见需要落地的问题包括：接口对接、性能调优、并发安全、与既有框架（Laravel / ThinkPHP / Yii / Webman 等）的兼容适配，以及生产环境的日志埋点与稳定性保障。
我们在过去多个企业项目中使用过 rubix/divorce 或与其功能相近的方案，如果你在选型或落地过程中遇到问题，例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查，欢迎联系我们协助评估。
基于 rubix/divorce 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复；针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维；也可按月提供技术保姆服务。
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统计信息
- 总下载量： 454
- 月度下载量： 0
- 日度下载量： 0
- 收藏数： 17
- 点击次数： 19
- 依赖项目数： 0
- 推荐数： 0
其他信息
- 授权协议： MIT
- 更新时间： 2020-06-18