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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/10/10 08:48:50 UTC
[GitHub] [spark] mob-ai edited a comment on issue #25909:
[SPARK-29224]Implement Factorization Machines as a ml-pipeline component
mob-ai edited a comment on issue #25909: [SPARK-29224]Implement Factorization Machines as a ml-pipeline component
URL: https://github.com/apache/spark/pull/25909#issuecomment-540466862
> @mob-ai Thanks for this work!
> But before you continue, I guess you can refer to previous dicsussion [SPARK-7008](https://issues.apache.org/jira/browse/SPARK-7008). I think you should provide some information like convergence curves on common datasets, and proof that mini-batch SGD is a good choice as an efficient solver.
> As to the PR itself, besides owen's comments, I think there should be `FMClassifier` & `FMRegressor` respectively.
Thank you for your suggestion. I will test FM use public datasets.
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