Added a postprocessing utility for kfold DAT files that calculates mean, median, min, and max values for metrics across all folds
Added a few functions: Divide_CAS.py progressively divides a casefile into cumulative summing folds to evalaute ergodicity. XML_for_multiple_sets.py takes the sets divided out of a single cas file and creates XML files to run cross validation (via CV_driver.py) on each set. big_batch.py runs through a list of these sets. postproc_summarize_kfold.py reads through the output from k-fold validation and reports statistics on those metrics.

Also a couple bugfixes related to postprocessing within the pythonNeticaUtils.py code.