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Posted to user@spark.apache.org by st553 <st...@gmail.com> on 2014/09/16 23:04:54 UTC
Re: Categorical Features for K-Means Clustering
Does MLlib provide utility functions to do this kind of encoding?
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Re: Categorical Features for K-Means Clustering
Posted by Aris <ar...@gmail.com>.
Yeah - another vote here to do what's called One-Hot encoding, just convert
the single categorical feature into N columns, where N is the number of
distinct values of that feature, with a single one and all the other
features/columns set to zero.
On Tue, Sep 16, 2014 at 2:16 PM, Sean Owen <so...@cloudera.com> wrote:
> I think it's on the table but not yet merged?
> https://issues.apache.org/jira/browse/SPARK-1216
>
> On Tue, Sep 16, 2014 at 10:04 PM, st553 <st...@gmail.com> wrote:
> > Does MLlib provide utility functions to do this kind of encoding?
> >
> >
> >
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> > View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Categorical-Features-for-K-Means-Clustering-tp9416p14394.html
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Re: Categorical Features for K-Means Clustering
Posted by Sean Owen <so...@cloudera.com>.
I think it's on the table but not yet merged?
https://issues.apache.org/jira/browse/SPARK-1216
On Tue, Sep 16, 2014 at 10:04 PM, st553 <st...@gmail.com> wrote:
> Does MLlib provide utility functions to do this kind of encoding?
>
>
>
> --
> View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Categorical-Features-for-K-Means-Clustering-tp9416p14394.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
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