- distributionsNames of the distributions samples were taken from.
C++ Type:std::vector<DistributionName>
Controllable:No
Description:Names of the distributions samples were taken from.
- orderMaximum polynomial order.
C++ Type:unsigned int
Controllable:No
Description:Maximum polynomial order.
- responseReporter value of response results, can be vpp with
/ or sampler column with 'sampler/col_ '. C++ Type:ReporterName
Controllable:No
Description:Reporter value of response results, can be vpp with
/ or sampler column with 'sampler/col_ '. - samplerSampler used to create predictor and response data.
C++ Type:SamplerName
Controllable:No
Description:Sampler used to create predictor and response data.
PolynomialChaosTrainer
Computes and evaluates polynomial chaos surrogate model.
The theory and use this object is provided within a discussion of the PolynomialChaos model object.
Input Parameters
- converged_reporterReporter value used to determine if a sample's multiapp solve converged.
C++ Type:ReporterName
Controllable:No
Description:Reporter value used to determine if a sample's multiapp solve converged.
- cv_n_trials1Number of repeated trials of cross-validation to perform.
Default:1
C++ Type:unsigned int
Controllable:No
Description:Number of repeated trials of cross-validation to perform.
- cv_seed4294967295Seed used to initialize random number generator for data splitting during cross validation.
Default:4294967295
C++ Type:unsigned int
Controllable:No
Description:Seed used to initialize random number generator for data splitting during cross validation.
- cv_splits10Number of splits (k) to use in k-fold cross-validation.
Default:10
C++ Type:unsigned int
Controllable:No
Description:Number of splits (k) to use in k-fold cross-validation.
- cv_surrogateName of Surrogate object used for model cross-validation.
C++ Type:UserObjectName
Controllable:No
Description:Name of Surrogate object used for model cross-validation.
- cv_typenoneCross-validation method to use for dataset. Options are 'none' or 'k_fold'.
Default:none
C++ Type:MooseEnum
Controllable:No
Description:Cross-validation method to use for dataset. Options are 'none' or 'k_fold'.
- filenameThe name of the file which will be associated with the saved/loaded data.
C++ Type:FileName
Controllable:No
Description:The name of the file which will be associated with the saved/loaded data.
- penalty0Ridge regularization penalty factor for OLS regression.
Default:0
C++ Type:double
Unit:(no unit assumed)
Controllable:No
Description:Ridge regularization penalty factor for OLS regression.
- predictor_colsSampler columns used as the independent random variables, If 'predictors' and 'predictor_cols' are both empty, all sampler columns are used.
C++ Type:std::vector<unsigned int>
Controllable:No
Description:Sampler columns used as the independent random variables, If 'predictors' and 'predictor_cols' are both empty, all sampler columns are used.
- predictorsReporter values used as the independent random variables, If 'predictors' and 'predictor_cols' are both empty, all sampler columns are used.
C++ Type:std::vector<ReporterName>
Controllable:No
Description:Reporter values used as the independent random variables, If 'predictors' and 'predictor_cols' are both empty, all sampler columns are used.
- regression_typeautoThe type of regression to perform for finding polynomial coefficents.
Default:auto
C++ Type:MooseEnum
Controllable:No
Description:The type of regression to perform for finding polynomial coefficents.
- skip_unconverged_samplesFalseTrue to skip samples where the multiapp did not converge, 'stochastic_reporter' is required to do this.
Default:False
C++ Type:bool
Controllable:No
Description:True to skip samples where the multiapp did not converge, 'stochastic_reporter' is required to do this.
Optional Parameters
- allow_duplicate_execution_on_initialFalseIn the case where this UserObject is depended upon by an initial condition, allow it to be executed twice during the initial setup (once before the IC and again after mesh adaptivity (if applicable).
Default:False
C++ Type:bool
Controllable:No
Description:In the case where this UserObject is depended upon by an initial condition, allow it to be executed twice during the initial setup (once before the IC and again after mesh adaptivity (if applicable).
- execute_onTIMESTEP_ENDThe list of flag(s) indicating when this object should be executed. For a description of each flag, see https://mooseframework.inl.gov/source/interfaces/SetupInterface.html.
Default:TIMESTEP_END
C++ Type:ExecFlagEnum
Controllable:No
Description:The list of flag(s) indicating when this object should be executed. For a description of each flag, see https://mooseframework.inl.gov/source/interfaces/SetupInterface.html.
- execution_order_group0Execution order groups are executed in increasing order (e.g., the lowest number is executed first). Note that negative group numbers may be used to execute groups before the default (0) group. Please refer to the user object documentation for ordering of user object execution within a group.
Default:0
C++ Type:int
Controllable:No
Description:Execution order groups are executed in increasing order (e.g., the lowest number is executed first). Note that negative group numbers may be used to execute groups before the default (0) group. Please refer to the user object documentation for ordering of user object execution within a group.
- force_postauxFalseForces the UserObject to be executed in POSTAUX
Default:False
C++ Type:bool
Controllable:No
Description:Forces the UserObject to be executed in POSTAUX
- force_preauxFalseForces the UserObject to be executed in PREAUX
Default:False
C++ Type:bool
Controllable:No
Description:Forces the UserObject to be executed in PREAUX
- force_preicFalseForces the UserObject to be executed in PREIC during initial setup
Default:False
C++ Type:bool
Controllable:No
Description:Forces the UserObject to be executed in PREIC during initial setup
Execution Scheduling Parameters
- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector<std::string>
Controllable:No
Description:Adds user-defined labels for accessing object parameters via control logic.
- enableTrueSet the enabled status of the MooseObject.
Default:True
C++ Type:bool
Controllable:Yes
Description:Set the enabled status of the MooseObject.
- use_displaced_meshFalseWhether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Default:False
C++ Type:bool
Controllable:No
Description:Whether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Advanced Parameters
- prop_getter_suffixAn optional suffix parameter that can be appended to any attempt to retrieve/get material properties. The suffix will be prepended with a '_' character.
C++ Type:MaterialPropertyName
Unit:(no unit assumed)
Controllable:No
Description:An optional suffix parameter that can be appended to any attempt to retrieve/get material properties. The suffix will be prepended with a '_' character.
- use_interpolated_stateFalseFor the old and older state use projected material properties interpolated at the quadrature points. To set up projection use the ProjectedStatefulMaterialStorageAction.
Default:False
C++ Type:bool
Controllable:No
Description:For the old and older state use projected material properties interpolated at the quadrature points. To set up projection use the ProjectedStatefulMaterialStorageAction.
Material Property Retrieval Parameters
Input Files
- (modules/stochastic_tools/examples/surrogates/polynomial_regression/uniform_train.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train_and_evaluate.i)
- (modules/stochastic_tools/examples/surrogates/poly_chaos_normal_quad.i)
- (modules/stochastic_tools/examples/surrogates/poly_chaos_uniform_mc.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_mc.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad_locs.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train.i)
- (modules/stochastic_tools/examples/surrogates/poly_chaos_normal_mc.i)
- (modules/stochastic_tools/examples/surrogates/polynomial_regression/normal_train.i)
- (modules/stochastic_tools/examples/surrogates/poly_chaos_uniform_quad.i)
- (modules/stochastic_tools/examples/surrogates/cross_validation/all_trainers_uniform_cv.i)
- (modules/combined/examples/stochastic/thermomech/poly_chaos_train_uniform.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/sobol.i)
- (modules/stochastic_tools/examples/surrogates/combined/trans_diff_2d/trans_diff_trainer.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad_moment.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad_moment.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/ols_test.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad_locs.i)