BayesianParamOptimizer

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4. lazy val GAUSSIAN_PROCESS: BayesianParamOptimizerFactory

   

   Advanced sampler modeling the efficiency function as a family of Gaussian processes (with integrated kernel parameters) and sampling from it trying to maximize Expected Improvement.

5. lazy val GAUSSIAN_PROCESS_WITH_NOISE: BayesianParamOptimizerFactory

   

   Variation of the GP optimizer which asumes there is a noise in the evaluations.

   Variation of the GP optimizer which asumes there is a noise in the evaluations. The noise might be introduced by instabilities of the learning process for complex non-convex models (eg. neural networks).

6. lazy val RANDOM: BayesianParamOptimizerFactory

   

   Simple sampler from the Sobol points sequence

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