[SPARK-7372] Multiclass SVM - One vs All wrapper

• Type: Question
• Status: Resolved
• Priority: Trivial
• Resolution: Won't Fix
• Component/s: MLlib
• Assignee: Unassigned
• Reporter: Renat Bekbolatov
• Created: 05/May/15 18:03
• Updated: 06/May/15 06:06
• Resolved: 06/May/15 06:06

Description

I was wondering if we want to have a some support for multiclass SVM in MLlib, for example, through a simple wrapper over binary SVM classifiers with OVA.

There is already WIP for ML pipeline generalization: SparkSPARK-7015, Multiclass to Binary Reduction

However, if users prefer to just have basic OVA version that runs against SVMWithSGD, they might be able to use it.

Here is a code sketch: https://github.com/Bekbolatov/spark/commit/463d73323d5f08669d5ae85dc9791b036637c966

Maybe this could live in a 3rd party utility library (outside Spark MLlib).

Issue Links

• duplicates: SPARK-7015 Multiclass to Binary Reduction