does any one have fm/ffm for mleap?

描述

贡献者指南

技术栈

scala

领域

machine learningdata

议题类型

research

难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。

5

预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。

over 1 week

活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。

stale

清晰度议题是否清楚说明期望改动、验收标准和下一步。

needs investigation

前置要求

Familiarity with MLeapKnowledge of FM/FFM algorithmsScala experience

新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。

5

研究方向

This issue asks for a way to use FM (Factorization Machines) or FFM (Field aware Factorization Machines) within the MLeap pipeline and serve via MLeap. Since no solution is provided, the first step is to investigate MLeap's current support for custom transformers and serialization formats. Look at the MLeap source code (e.g., `mleap core/` and `mleap runtime/`) to understand how existing algorithms like linear regression are implemented. Then research FM/FFM implementations in Scala/Spark (e.g., from Spark MLlib or third party libraries) and evaluate the effort to wrap them as MLeap transformers. The maintainers may need to clarify if this falls under their roadmap.