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From Xiangrui Meng <men...@gmail.com>
Subject Re: Naive Bayes parameters
Date Thu, 07 Aug 2014 08:18:16 GMT
It is used in data loading:

https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/mllib/SparseNaiveBayes.scala#L76

On Thu, Aug 7, 2014 at 12:47 AM, SK <skrishna.id@gmail.com> wrote:
> I followed the example in
> examples/src/main/scala/org/apache/spark/examples/mllib/SparseNaiveBayes.scala.
>
> IN this file Params is defined as follows:
>
> case class Params (
>     input: String = null,
>     minPartitions: Int = 0,
>     numFeatures: Int = -1,
>     lambda: Double = 1.0)
>
> In the main function, the option parser accepts numFeatures as an option.
> But I looked at the code in more detail just now and found the following:
>
>   val model = new NaiveBayes().setLambda(params.lambda).run(training)
>
> So looks like at the time of creation only the lambda parameter is used.
> Perhaps the example needs to be cleaned up during the next release. I am
> currently using Spark version 1.0.1.
>
>
> thanks
>
>
>
>
> --
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