Dan Bean issues

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                                            Dan Bean

cross validation does not work in py3 version

bug

break tied weights by preferring the weights that give known nodes the higher average score

update xv_parallel to handle new exceptions that are raised

update xv_parallel example to use the demo data in the repo

counts are incorrect in filtering step if source and target have the same type

filterNetworksByCommonSource prints a count for source nodes using networkA['sourcenodes'] = networkA['graph'].vs(type_eq=networkA['sourcetype'])['name'] however if sourcetype and targettype are the same, this will be the count of ALL nodes, not just source...

Dan Bean

cross validation does not work in py3 version

break tied weights by preferring the weights that give known nodes the higher average score

update xv_parallel to handle new exceptions that are raised

update xv_parallel example to use the demo data in the repo

counts are incorrect in filtering step if source and target have the same type

move require_all_predictors to a parameter