generate a number of independent splits of dataset

Question

when using sklearn split function, is it possible to produce k independent splits, namely, k splits that have at least one element not in common? If not, is there any other library that can be used?

Answer 1

Have a look at the cross_validation module.

For what you want, KFold should do the trick.