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After the cross_validation PR will be merged, parameter search for nested cross validation will be enabled. It would be nice to extend this behaviour also to hold_out cross validation. A common use case for this might be, that one would like to train a model multiple times with different seeds, to get an error estimate for the training.
The text was updated successfully, but these errors were encountered:
SebieF
changed the title
Support multiple parameters also for hold_out cross validation
Support multiple hyperparameters for hold_out cross validation
Jan 5, 2023
After the cross_validation PR will be merged, parameter search for nested cross validation will be enabled. It would be nice to extend this behaviour also to hold_out cross validation. A common use case for this might be, that one would like to train a model multiple times with different seeds, to get an error estimate for the training.
The text was updated successfully, but these errors were encountered: