Crossvalidation in Stanford NER

问题:

I'm trying to use cross validation in Stanford NER. The feature factory lists 3 properties:

numFolds    int 1   The number of folds to use for cross-validation.
startFold   int 1   The starting fold to run.
numFoldsToRun   int 1   The number of folds to run.

which I think should be used for cross validation. But I don't think they actually work. Setting numFolds to 1 or 10 doesn't change the running time for training at all. And strangely, using numFoldsToRun gives the following warning:

Unknown property: |numFoldsToRun|

回答1:

You're right. These options haven't been implemented. If you want to run cross-validation experiments, you'll have to do it completely manually by preparing the data sets yourself. (Sorry!)