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Implement support for the hyperopt command for the nn_ensemble backend. Part of #240.
There are actually not that many hyperparameters in nn_ensemble (only nodes, dropout_rate and epochs) so this should be rather easy. epochs is a bit special since it may make sense to train incrementally, one epoch at a time, and evaluate the model between the epochs. So it's not necessarily an up-front choice.
The text was updated successfully, but these errors were encountered:
Implement support for the hyperopt command for the nn_ensemble backend. Part of #240.
There are actually not that many hyperparameters in nn_ensemble (only
nodes
,dropout_rate
andepochs
) so this should be rather easy.epochs
is a bit special since it may make sense to train incrementally, one epoch at a time, and evaluate the model between the epochs. So it's not necessarily an up-front choice.The text was updated successfully, but these errors were encountered: