Fwd: [CONF] Apache Lucene Mahout: Watchmaker.GA.Tutorial (page created)

[Grant Ingersoll <gs...@apache.org>]

Deneche,

Have you contacted the Watchmaker developers?  Perhaps you should  
share what you have done over there.  I do notice that their website  
says they have distributed support.  How does that compare to ours?

-Grant

Begin forwarded message:

> From: confluence@apache.org
> Date: August 17, 2008 11:02:01 AM EDT
> To: mahout-commits@lucene.apache.org
> Subject: [CONF] Apache Lucene Mahout: Watchmaker.GA.Tutorial (page  
> created)
> Reply-To: mahout-dev@lucene.apache.org
>
> Watchmaker.GA.Tutorial (MAHOUT) created by abdelhakim deneche
>   http://cwiki.apache.org/confluence/display/MAHOUT/Watchmaker.GA.Tutorial
>
> Content:
> ---------------------------------------------------------------------
>
> h1. How to distribute the fitness evaluation using Mahout.GA ?
>
> In any Watchmaker program, you'll have to create an instance of a  
> StandaloneEvolutionEngine. For the TSP example this is done in the  
> EvolutionaryTravellingSalesman class:
>
> {code:java}
> private EvolutionEngine<List<String>>  
> getEngine(CandidateFactory<List<String>> candidateFactory,  
> EvolutionaryOperator<List<?>> pipeline, Random rng) {
>  return new  
> StandaloneEvolutionEngine<List<String>>(candidateFactory, pipeline,  
> new RouteEvaluator(distances), selectionStrategy, rng);
> }
> {code}
>
> The RouteEvaluator class is where the fitness of each individual is  
> evaluated, if we want to distribute the evaluation over a Hadoop  
> Cluster, all we have to is wrap the evaluator in a  
> MahoutFitnessEvaluator, and instead of a StandaloneEvolutionEngine  
> we'll use a STEvolutionEngine :
>
> {code:java}
> private EvolutionEngine<List<String>>  
> getEngine(CandidateFactory<List<String>> candidateFactory,  
> EvolutionaryOperator<List<?>> pipeline, Random rng) {
>  MahoutFitnessEvaluator<List<String>> evaluator = new  
> MahoutFitnessEvaluator<List<String>>(new RouteEvaluator(distances));
>  return new STEvolutionEngine<List<String>>(candidateFactory,  
> pipeline, evaluator, selectionStrategy, rng);
> }
> {code}
>
> And voila! your code is ready to run on Hadoop. The complete running  
> example is available with the examples in the org/apache/mahout/ga/ 
> watchmaker/travellingsalesman directory
>
>
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--------------------------
Grant Ingersoll
http://www.lucidimagination.com

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