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From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: Exporting Mahout model output as Weka input
Date Mon, 21 May 2012 22:49:57 GMT
Nobody has ever done it that I have heard of, but the Random Forest
implementation should be simple enough to export to Weka.

You would have to write the code and to do that, you will have to dope out
the format that Weka wants.

On Mon, May 21, 2012 at 9:09 PM, Guy Ernest <guy.ernest@gmail.com> wrote:

> I would like to use the output model of a Mahout decision tree
> training process as the input model for a Weka based classifier.
>
> As the training of a complex decision tree that is based on millions
> of training records is almost impractical for a single node Weka
> classifier, I would like to use Mahout to build the model, using for
> example Random Forest Partial Implementation.
>
> While the algorithm above can be problematic while training, it is
> rather simple to use it for prediction with Weka on a single machine.
>
> On Mahout wiki site it is stated that the data formats for import
> include Weka ARFF format, but not for export.
>
> Is it possible to use some of the existing implementations in Mahout
> to train models that will be used in production with a simple Weka
> based system?
>

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