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From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: multi-class classification question
Date Sat, 03 Aug 2013 06:59:37 GMT
On Fri, Aug 2, 2013 at 6:28 AM, yikes aroni <yikesaroni@gmail.com> wrote:

> Hmm. Interesting indeed. And the real bonus is that i get it. Sounds like
> the solution to the problem of large numbers of target classes is to
> develop a sensible scheme for grouping the target classes s.t. you can
> reduce the number of them required per training run, then run the training
> once on each sub-set of target classes. To query, you simply query this
> large number of classifiers to build up your answer.
>

You may have thousands of classifiers in toto, but you should only have to
evaluate dozens of them.


>
> Is that the common practice?
>

Having training data for 60,000 categories is quite rare in my experience.


>
> thank you for your time, Mr. Dunning.
>

NP.  Send feedback if you implement such a beast.

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