EpistasisLab / EpistasisLab/tpot
Using external validation set to optimize TPOT?
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Description
I was wondering if there is a possibility to apply scoring an external X_test, y_test dataset instead of cross-validation in order to optimise TPOT Pipeline?
I'm thinking the way hypopt (https://pypi.org/project/hypopt/) does...
Would that be useful to anyone?
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