Thanks Sebastian, i will check ParallelFactorizationEvaluator, thanks!
CheersRamon> Date: Mon, 17 Oct 2011 09:48:44 +0200
> From: [email protected]
> To: [email protected]
> Subject: Re: Does Mahout provide a way to evaluate a distributed Recommender
> running on Hadoop?
>
> There is already code in Mahout that splits a dataset into training- and
> testset: org.apache.mahout.cf.taste.hadoop.als.eval.DatasetSplitter and
> there is already an evaluator for factorization based recommendations:
> org.apache.mahout.cf.taste.hadoop.als.eval.ParallelFactorizationEvaluator
>
> This might help as a starting point for implementing evaluation of
> RecommenderJob.
>
> --sebastian
>
>
>
>
> On 17.10.2011 09:39, WangRamon wrote:
> >
> > Hi Sean Do you mean that I should take the concept from the standalone one,
> > keep some real data, let's say 20% of all data, do recommend computation on
> > the other 80%, and finally do a comparation. CheersRamon
> > > Date: Mon, 17 Oct 2011 08:02:37 +0100
> >> Subject: Re: Does Mahout provide a way to evaluate a distributed
> >> Recommender running on Hadoop?
> >> From: [email protected]
> >> To: [email protected]
> >>
> >> There is not one, though you could probably adapt the evaluation code
> >> without a great deal of trouble. The concept is the same; the
> >> implementation is quite different. You would withhold some data, and
> >> then compute the value of that withheld data and compare with the
> >> original.
> >>
> >> 2011/10/17 WangRamon <[email protected]>:
> >>>
> >>>
> >>>
> >>>
> >>> Hi Guys
> >>>
> >>> We're going to evaluate how good a distributed (on Hadoop) recommender
> >>> is, i found Mahout provides some stand alone implementation to evaluate a
> >>> recommender, so is there a distributed implementation we can use in a
> >>> Hadoop environment, thanks a lot.
> >>>
> >>> BTW, if there is not such an implementation, do we have any solution/idea
> >>> on how to implement one?
> >>>
> >>> Cheers
> >>> Ramon
> >
>
