Allow training without cross validation #2310
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maxnoe
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kosack
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Tobychev
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Cross validation is handy for hyper parameter optimization locally, but for large GRID processings, we determine performance on the independent test data set, so we are just wasting CPU by doing an n-fold cross validation no-one looks at.
Setting
n_cross_validations = 0raised an error, so here I make sure that works.