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https://issues.apache.org/jira/browse/SPARK-7008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14504435#comment-14504435
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Guoqiang Li edited comment on SPARK-7008 at 4/25/15 4:16 AM:
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This is my test chart on convergence rate(Binary classification).
The convergence curves of Binary Classification are ploted in attached
[FM_convergence_rate.xlsx|https://issues.apache.org/jira/secure/attachment/12726809/FM_convergence_rate.xlsx]
url:
http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/url_combined.bz2
kdda: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/kdda.bz2
was (Author: gq):
This is my test chart on convergence rate(Binary classification).
url:
http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/url_combined.bz2
kdda: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/kdda.bz2
> An implementation of Factorization Machine (LibFM)
> --------------------------------------------------
>
> Key: SPARK-7008
> URL: https://issues.apache.org/jira/browse/SPARK-7008
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 1.3.0, 1.3.1, 1.3.2
> Reporter: zhengruifeng
> Labels: features, patch
> Attachments: FM_CR.xlsx, FM_convergence_rate.xlsx, QQ20150421-1.png,
> QQ20150421-2.png
>
>
> An implementation of Factorization Machines based on Scala and Spark MLlib.
> FM is a kind of machine learning algorithm for multi-linear regression, and
> is widely used for recommendation.
> FM works well in recent years' recommendation competitions.
> Ref:
> http://libfm.org/
> http://doi.acm.org/10.1145/2168752.2168771
> http://www.inf.uni-konstanz.de/~rendle/pdf/Rendle2010FM.pdf
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