Mixture of continuous and discrete hyper parameters

[Safoora Yousefi]

Hi

What is the best way to tune a mixture of continuous and discrete hyper parameters for a cost function? For example in a neural network, the number of layers is discrete but the learning rate is continuous, but in the python wrapper I can see a continuous-only and a discrete-only optimizer.

Best,

-Safoora

[Ruben Martinez-Cantin]

Hi,

Currently BayesOpt does not support joint continuous/discrete. You can
try doing it by hand by rounding or some other heuristic.

Best,

Rubén

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