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Auto update of hyper parameters
Issue #15
resolved
Current implementation enables manual change of the hyper-parameters. However there are methods using maximum likelihood that help to change them to suit the exact problem landscape. This will reduce manual tweaking of bounds and re-maps
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To be tested... call the function
estimate_best_kernel_parameters()for applying the best kernel parameters through log-likelihood calculation. Added in 311da02 -
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The current implementation of estimating MLE does not support external kernel functions. The kernel functions may need to be re-written as a class with a set_parameter function, and the BayesOpt should take in the class instance and not just a function/string.
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Alec Lofquist
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The current implementation of estimating MLE does not support external kernel functions. The kernel functions may need to be re-written as a class with a set_parameter function, and the BayesOpt should take in the class instance and not just a function/string.