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 asking me for number of folds and number of times (or maybe allow me to enter a random seed or offset instead of times.) I could then either hook my classifier into the program or use it in a separate step.
Probably not very hard to write, but why reinvent the wheel ;-) Thanks in advance, MarkL -- http://mail.python.org/mailman/listinfo/python-list