Have a look at the source code for MLUtils.kFold. Yes, there is a random element. That's good; you want the folds to be randomly chosen. Note there is a seed parameter, as in a lot of the APIs, that lets you fix the RNG seed and so get the same result every time, if you need to.
On Fri, Jan 30, 2015 at 4:12 PM, Jianguo Li <flyingfromch...@gmail.com> wrote: > Hi, > > I am using the utility function kFold provided in Spark for doing k-fold > cross validation using logistic regression. However, each time I run the > experiment, I got different different result. Since everything else stays > constant, I was wondering if this is due to the kFold function I used. Does > anyone know if the kFold gives you a different split on a data set each time > you call it? > > Thanks, > > Jianguo --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
