LoadSurrogateDataAction

This action operates on existing SurrogateModel objects contained within the [Surrogates] block. If the model provides a filename (as shown below) the training data is initialized and the model is ready for use via the evaluate method.

[Surrogates/poly_chaos]
  [Surrogates/poly_chaos]
    [Surrogates/poly_chaos]
      [Surrogates/poly_chaos]
        type = PolynomialChaos
        filename = 'train_out_poly_chaos.rd'
      []
    []
  []
[]

Input Parameters

active__all__ If specified only the blocks named will be visited and made active
Default:__all__
C++ Type:std::vector<std::string>
Options:
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>
Options:
Description:If specified blocks matching these identifiers will be skipped.
isObjectActionTrueIndicates that this is a MooseObjectAction.
Default:True
C++ Type:bool
Options:
Description:Indicates that this is a MooseObjectAction.

(modules/stochastic_tools/test/tests/surrogates/load_store/evaluate.i)

[StochasticTools]
[]

[Surrogates/poly_chaos]
    type = PolynomialChaos
    filename = 'train_out_poly_chaos.rd'
[]

[VectorPostprocessors/pc_moments]
    type = PolynomialChaosStatistics
    pc_name = poly_chaos
    compute = 'mean stddev skewness kurtosis'
    execute_on = final
[]

[Outputs/out]
    type = CSV
    execute_on = FINAL
[]

Input Parameters

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LoadSurrogateDataAction

Input Parameters