Which Spark version are you using? -Xiangrui On Thu, Aug 7, 2014 at 1:12 AM, SK <skrishna...@gmail.com> wrote: > Hi, > > I am following the code in > examples/src/main/scala/org/apache/spark/examples/mllib/BinaryClassification.scala > For setting the parameters and parsing the command line options, I am just > reusing that code.Params is defined as follows. > > case class Params( > input: String = null, > numIterations: Int = 100, > stepSize: Double = 1.0, > algorithm: Algorithm = LR, > regType: RegType = L2, > regParam: Double = 0.1) > > I use the command line option --regType to choose L1 or L2, and --regParam > to set it to 0.0. The option parser code in the example above parses the > options and creates the LogisticRegression object. It calls > setRegParam(regParam) to set the regularization parameter and calls the > updater to set the regType. > To run LR, I am again using the code in the example above > (algorithm.run(training).clearThreshold()) > > The code in the above example computes AUC. To compute accuracy of the test > data classification, I map the class to 0 if prediction < 0.5, else it is > mapped to class 1. THen I compare the predictions with the corresponding > labels and the number of matches is given by correctCount. > > val accuracy = correctCount.toDouble / predictionAndLabel.count > > thanks > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Regularization-parameters-tp11601p11627.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 >
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