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...@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 > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Naive-Bayes-parameters-tp11592p11623.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
