I am using an mlp with tidymodels, I have ~20 outcomes and ~65 predictors. I get the following error when trying to use the tune package
A | error: Internal error: Multiple outcomes are not supported in .estimate_metrics().
Does anyone know a way to tune parameters for such a scenario?
If there is not a way to use a pre built package to do this, can someone offer advice on how to use tidymodels to set up a 'manual' cross validation for neural network hyperparameters?