The loss functions are represented in the various names of the model families. SVM is hinge loss, LogisticRegression is logistic loss, LinearRegression is linear loss. These are used internally as arguments to the SGD and L-BFGS optimizers.
On Thu, Aug 7, 2014 at 6:31 PM, SK <skrishna...@gmail.com> wrote: > Hi, > > According to the MLLib guide, there seems to be support for different loss > functions. But I could not find a command line parameter to choose the loss > function but only found regType to choose the regularization. Does MLLib > support a parameter to choose the loss function? > > thanks > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/MLLib-choosing-the-Loss-function-tp11738.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 > >
