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Results tagged with bayesian-optimization
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user 249377
Bayesian optimization is a family of global optimization methods which use information about previously-computed values of the function to make inference about which function values are plausibly optima. Its applications include computer experiments and hyper-parameter optimization in some machine learning models.
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Calculating the possible number of configurations
I am wondering how did they get the $19200$ possible configurations? Like, $5^6 = 15625$, where $6$ is the number of hyper-parameters:
ps: just to check I'm doing the righ thing. Is this okay?
The …
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