k-fold cross validation in time series with JMP / JMP PRO
I want to use Bootstrap or Boosted Trees but with a k-fold method as I use it in the partition trees or neural nets. However I only see the option of adding a fix validation column. Since I am working with time series, random samples cannot be used well to fit my models. In addition to this, I am suspicious with the k-fold implemented in JMP as it always says random sample. I am after a sequence...