- active__all__ If specified only the blocks named will be visited and made active
Default:__all__
C++ Type:std::vector<std::string>
Unit:(no unit assumed)
Controllable:No
Description:If specified only the blocks named will be visited and made active
- inactiveIf specified blocks matching these identifiers will be skipped.
C++ Type:std::vector<std::string>
Unit:(no unit assumed)
Controllable:No
Description:If specified blocks matching these identifiers will be skipped.
AddCovarianceAction
This action adds CovarianceFunctionBase
asds objects contained within the [Covariance]
block. For example, the following block adds a SquaredExponentialCovariance covariance function.
[Covariance]
[covar]
type = SquaredExponentialCovariance
signal_variance = 1 #Use a signal variance of 1 in the kernel
noise_variance = 1e-6 #A small amount of noise can help with numerical stability
length_factor = '0.38971 0.38971' #Select a length factor for each parameter (k and q)
[]
[]
(contrib/moose/modules/stochastic_tools/test/tests/surrogates/gaussian_process/GP_squared_exponential_training.i)Input Parameters
- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector<std::string>
Unit:(no unit assumed)
Controllable:No
Description:Adds user-defined labels for accessing object parameters via control logic.
- isObjectActionTrueIndicates that this is a MooseObjectAction.
Default:True
C++ Type:bool
Unit:(no unit assumed)
Controllable:No
Description:Indicates that this is a MooseObjectAction.