Renat Bekbolatov created SPARK-7372:
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Summary: Multiclass SVM - One vs All wrapper
Key: SPARK-7372
URL: https://issues.apache.org/jira/browse/SPARK-7372
Project: Spark
Issue Type: Question
Components: MLlib
Reporter: Renat Bekbolatov
Priority: Trivial
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).
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