Following is the code I use. I got it from web, but forgot the link.
def k_fold_cross_validation(X, K, randomise = False):
"""
Generates K (training, validation) pairs from the items in X.
Each pair is a partition of X, where validation is an iterable
of length len
Hello,
I am doing research as part of a Uni research Scholarship into using
data compression for classification. What I am looking for is python
code to handle the crossfold validation side of things for me - that
will take my testing / training corpus and create the testing /
training files after
