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From: Ted Dunning <ted.dunning@gmail.com>
Date: Sun, 25 Dec 2011 13:13:02 -0800
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 <CAJwFCa3J_xVZVhPBQk6zym-wMvckF8bLQbpuM5ebP+TUDZi40w@mail.gmail.com>
Subject: Re: Mahout classifier on Hadoop
To: user@mahout.apache.org, Lingxiang Cheng <lingxiangcheng@yahoo.com>
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Random forest works as a map-reduce program, but that does not produce
arbitrary scalability.

The Naive Bayes classifier is relatively natural as a map-reduce program
and has a map-reduce version.

The linear classifiers like linear regression do not have map-reduce
versions (yet) since there is some difficulty in getting these to work well.

On Sun, Dec 25, 2011 at 5:59 AM, Lingxiang Cheng
<lingxiangcheng@yahoo.com>wrote:

> Hi,
>
>     I am a newbie to Mahout. When I was reading the book "Mahout in
> Action", I found chapters talking about how clustering naturally fit into
> Map/Reduce framework, but I did not see the same claim for classifiers.
> Does it involve a lot of work to make classifiers like random forest work
> with Hadoop?
>
> Thanks!
> Lingxiang Cheng

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