smac.model.gaussian_process.priors.log_normal_prior

Classes

LogNormalPrior(sigma[, mean, seed])

Implements the log normal prior.

Interfaces

class smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior(sigma, mean=0, seed=0)[source]

Bases: AbstractPrior

Implements the log normal prior.

Parameters:

  • sigma (float) – Specifies the standard deviation of the normal distribution.

  • mean (float) – Specifies the mean of the normal distribution.

  • seed (int, defaults to 0)

property meta: dict[str, Any]

Returns the meta data of the created object.

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