does any one have fm/ffm for mleap?

Description

Contributor guide

Tech stack

scala

Domain

machine learningdata

Issue type

research

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

5

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

over 1 week

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

stale

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

needs investigation

Prerequisites

Familiarity with MLeapKnowledge of FM/FFM algorithmsScala experience

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

5

Research direction

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.