Note that the only acceptable types of search space are `choice`, `quniform`, `uniform` and `randint`.
Note that the only acceptable types of search space are `choice`, `randint`, `uniform`, `quniform`, `loguniform`, `qloguniform`.
**Suggested scenario**
**Suggested scenario**
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@@ -383,7 +383,7 @@ GP Tuner is uses a proxy optimization problem (finding the maximum of the acquis
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@@ -383,7 +383,7 @@ GP Tuner is uses a proxy optimization problem (finding the maximum of the acquis
**Requirement of classArg**
**Requirement of classArg**
***optimize_mode** (*'maximize' or 'minimize', optional, default = 'maximize'*) - If 'maximize', the tuner will target to maximize metrics. If 'minimize', the tuner will target to minimize metrics.
***optimize_mode** (*'maximize' or 'minimize', optional, default = 'maximize'*) - If 'maximize', the tuner will target to maximize metrics. If 'minimize', the tuner will target to minimize metrics.
***utility** (*'ei', 'ucb' or 'poi', optional, default = 'ei'*) - The kind of utility function. 'ei', 'ucb' and 'poi' corresponds to 'Expected Improvement', 'Upper Confidence Bound' and 'Probability of Improvement' respectively.
***utility** (*'ei', 'ucb' or 'poi', optional, default = 'ei'*) - The kind of utility function(acquisition function). 'ei', 'ucb' and 'poi' corresponds to 'Expected Improvement', 'Upper Confidence Bound' and 'Probability of Improvement' respectively.
***kappa** (*float, optional, default = 5*) - Used by utility function 'ucb'. The bigger `kappa` is, the more the tuner will be exploratory.
***kappa** (*float, optional, default = 5*) - Used by utility function 'ucb'. The bigger `kappa` is, the more the tuner will be exploratory.
***xi** (*float, optional, default = 0*) - Used by utility function 'ei' and 'poi'. The bigger `xi` is, the more the tuner will be exploratory.
***xi** (*float, optional, default = 0*) - Used by utility function 'ei' and 'poi'. The bigger `xi` is, the more the tuner will be exploratory.
***nu** (*float, optional, default = 2.5*) - Used to specify Matern kernel. The smaller nu, the less smooth the approximated function is.
***nu** (*float, optional, default = 2.5*) - Used to specify Matern kernel. The smaller nu, the less smooth the approximated function is.