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rmcantin / bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
GNU Affero General Public License v3.0
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Mixed type optimization (continuous, discrete, categorical) #4

Open PiranjaF opened 9 years ago

PiranjaF commented 9 years ago

Have there been any thoughts of implementing an optimization routine (with interface to Python) that can optimize multiple types of parameters at once? This is often needed when optimizing machine learning algorithms. I'd really like to use it with deep learning, which has both continuous, discrete and categorical hyperparameters.

rmcantin commented 9 years ago

We are working on it.

svml commented 7 years ago

@rmcantin Could you please let me know if there was any progress in implementing mixed type optimization?