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From Xiangrui Meng <men...@gmail.com>
Subject Re: IDF for ml pipeline
Date Tue, 03 Feb 2015 09:12:47 GMT
Yes, we need a wrapper under spark.ml. Feel free to create a JIRA for
it. -Xiangrui

On Mon, Feb 2, 2015 at 8:56 PM, masaki rikitoku <rikima3132@gmail.com> wrote:
> Hi all
>
> I am trying the ml pipeline for text classfication now.
>
> recently, i succeed to execute the pipeline processing in ml packages,
> which consist of the original Japanese tokenizer, hashingTF,
> logisticRegression.
>
> then,  i failed to  executed the pipeline with idf in mllib package directly.
>
> To use the idf feature in ml package,
> do i have to implement the wrapper for idf in ml package like the hashingTF?
>
> best
>
> Masaki Rikitoku
>
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