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ActiveLearningGaussianProcess Class Reference

#include <ActiveLearningGaussianProcess.h>

Inheritance diagram for ActiveLearningGaussianProcess:
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Public Types

typedef DataFileName DataFileParameterType
 

Public Member Functions

 ActiveLearningGaussianProcess (const InputParameters &parameters)
 
virtual void initialize () final
 
virtual void execute () final
 
virtual void reTrain (const std::vector< std::vector< Real >> &inputs, const std::vector< Real > &outputs) const final
 
StochasticTools::GaussianProcessgp ()
 
const StochasticTools::GaussianProcessgetGP () const
 
virtual void finalize ()
 
virtual void threadJoin (const UserObject &) final
 
SubProblemgetSubProblem () const
 
bool shouldDuplicateInitialExecution () const
 
virtual Real spatialValue (const Point &) const
 
virtual const std::vector< Point > spatialPoints () const
 
void gatherSum (T &value)
 
void gatherMax (T &value)
 
void gatherMin (T &value)
 
void gatherProxyValueMax (T1 &proxy, T2 &value)
 
void gatherProxyValueMin (T1 &proxy, T2 &value)
 
void setPrimaryThreadCopy (UserObject *primary)
 
UserObjectprimaryThreadCopy ()
 
std::set< UserObjectName > getDependObjects () const
 
virtual bool needThreadedCopy () const
 
const std::set< std::string > & getRequestedItems () override
 
const std::set< std::string > & getSuppliedItems () override
 
unsigned int systemNumber () const
 
virtual bool enabled () const
 
std::shared_ptr< MooseObjectgetSharedPtr ()
 
std::shared_ptr< const MooseObjectgetSharedPtr () const
 
MooseAppgetMooseApp () const
 
const std::string & type () const
 
virtual const std::string & name () const
 
std::string typeAndName () const
 
std::string errorPrefix (const std::string &error_type) const
 
void callMooseError (std::string msg, const bool with_prefix) const
 
MooseObjectParameterName uniqueParameterName (const std::string &parameter_name) const
 
const InputParametersparameters () const
 
MooseObjectName uniqueName () const
 
const T & getParam (const std::string &name) const
 
std::vector< std::pair< T1, T2 > > getParam (const std::string &param1, const std::string &param2) const
 
const T * queryParam (const std::string &name) const
 
const T & getRenamedParam (const std::string &old_name, const std::string &new_name) const
 
getCheckedPointerParam (const std::string &name, const std::string &error_string="") const
 
bool isParamValid (const std::string &name) const
 
bool isParamSetByUser (const std::string &nm) const
 
void paramError (const std::string &param, Args... args) const
 
void paramWarning (const std::string &param, Args... args) const
 
void paramInfo (const std::string &param, Args... args) const
 
void connectControllableParams (const std::string &parameter, const std::string &object_type, const std::string &object_name, const std::string &object_parameter) const
 
void mooseError (Args &&... args) const
 
void mooseErrorNonPrefixed (Args &&... args) const
 
void mooseDocumentedError (const std::string &repo_name, const unsigned int issue_num, Args &&... args) const
 
void mooseWarning (Args &&... args) const
 
void mooseWarningNonPrefixed (Args &&... args) const
 
void mooseDeprecated (Args &&... args) const
 
void mooseInfo (Args &&... args) const
 
std::string getDataFileName (const std::string &param) const
 
std::string getDataFileNameByName (const std::string &relative_path) const
 
std::string getDataFilePath (const std::string &relative_path) const
 
virtual void initialSetup ()
 
virtual void timestepSetup ()
 
virtual void jacobianSetup ()
 
virtual void residualSetup ()
 
virtual void customSetup (const ExecFlagType &)
 
const ExecFlagEnumgetExecuteOnEnum () const
 
UserObjectName getUserObjectName (const std::string &param_name) const
 
const T & getUserObject (const std::string &param_name, bool is_dependency=true) const
 
const T & getUserObjectByName (const UserObjectName &object_name, bool is_dependency=true) const
 
const UserObjectgetUserObjectBase (const std::string &param_name, bool is_dependency=true) const
 
const UserObjectgetUserObjectBaseByName (const UserObjectName &object_name, bool is_dependency=true) const
 
const std::vector< MooseVariableScalar *> & getCoupledMooseScalarVars ()
 
const std::set< TagID > & getScalarVariableCoupleableVectorTags () const
 
const std::set< TagID > & getScalarVariableCoupleableMatrixTags () const
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialProperty (const std::string &name, MaterialData &material_data, const unsigned int state=0)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialProperty (const std::string &name, const unsigned int state=0)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialProperty (const std::string &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialProperty (const std::string &name, MaterialData &material_data, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialProperty (const std::string &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialProperty (const std::string &name, const unsigned int state=0)
 
const ADMaterialProperty< T > & getADMaterialProperty (const std::string &name, MaterialData &material_data)
 
const ADMaterialProperty< T > & getADMaterialProperty (const std::string &name)
 
const ADMaterialProperty< T > & getADMaterialProperty (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOld (const std::string &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOld (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOld (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOlder (const std::string &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOlder (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOlder (const std::string &name)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialPropertyByName (const MaterialPropertyName &name, MaterialData &material_data, const unsigned int state)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialPropertyByName (const MaterialPropertyName &name, MaterialData &material_data, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const ADMaterialProperty< T > & getADMaterialPropertyByName (const MaterialPropertyName &name, MaterialData &material_data)
 
const ADMaterialProperty< T > & getADMaterialPropertyByName (const MaterialPropertyName &name)
 
const ADMaterialProperty< T > & getADMaterialPropertyByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOldByName (const MaterialPropertyName &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOldByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOldByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOlderByName (const MaterialPropertyName &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOlderByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOlderByName (const MaterialPropertyName &name)
 
std::pair< const MaterialProperty< T > *, std::set< SubdomainID > > getBlockMaterialProperty (const MaterialPropertyName &name)
 
const GenericMaterialProperty< T, is_ad > & getGenericZeroMaterialProperty (const std::string &name)
 
const GenericMaterialProperty< T, is_ad > & getGenericZeroMaterialProperty ()
 
const GenericMaterialProperty< T, is_ad > & getGenericZeroMaterialPropertyByName (const std::string &prop_name)
 
const MaterialProperty< T > & getZeroMaterialProperty (Ts... args)
 
std::set< SubdomainIDgetMaterialPropertyBlocks (const std::string &name)
 
std::vector< SubdomainName > getMaterialPropertyBlockNames (const std::string &name)
 
std::set< BoundaryIDgetMaterialPropertyBoundaryIDs (const std::string &name)
 
std::vector< BoundaryName > getMaterialPropertyBoundaryNames (const std::string &name)
 
void checkBlockAndBoundaryCompatibility (std::shared_ptr< MaterialBase > discrete)
 
std::unordered_map< SubdomainID, std::vector< MaterialBase *> > buildRequiredMaterials (bool allow_stateful=true)
 
void statefulPropertiesAllowed (bool)
 
bool getMaterialPropertyCalled () const
 
virtual const std::unordered_set< unsigned int > & getMatPropDependencies () const
 
virtual void resolveOptionalProperties ()
 
const GenericMaterialProperty< T, is_ad > & getPossiblyConstantGenericMaterialPropertyByName (const MaterialPropertyName &prop_name, MaterialData &material_data, const unsigned int state)
 
bool isImplicit ()
 
Moose::StateArg determineState () const
 
virtual void subdomainSetup () override
 
virtual void subdomainSetup () override
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
const GenericOptionalMaterialProperty< T, is_ad > & getGenericOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const GenericOptionalMaterialProperty< T, is_ad > & getGenericOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const OptionalMaterialProperty< T > & getOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const OptionalMaterialProperty< T > & getOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const OptionalADMaterialProperty< T > & getOptionalADMaterialProperty (const std::string &name)
 
const OptionalADMaterialProperty< T > & getOptionalADMaterialProperty (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOld (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOld (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOlder (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOlder (const std::string &name)
 
MaterialBasegetMaterial (const std::string &name)
 
MaterialBasegetMaterial (const std::string &name)
 
MaterialBasegetMaterialByName (const std::string &name, bool no_warn=false)
 
MaterialBasegetMaterialByName (const std::string &name, bool no_warn=false)
 
bool hasMaterialProperty (const std::string &name)
 
bool hasMaterialProperty (const std::string &name)
 
bool hasMaterialPropertyByName (const std::string &name)
 
bool hasMaterialPropertyByName (const std::string &name)
 
bool hasADMaterialProperty (const std::string &name)
 
bool hasADMaterialProperty (const std::string &name)
 
bool hasADMaterialPropertyByName (const std::string &name)
 
bool hasADMaterialPropertyByName (const std::string &name)
 
bool hasGenericMaterialProperty (const std::string &name)
 
bool hasGenericMaterialProperty (const std::string &name)
 
bool hasGenericMaterialPropertyByName (const std::string &name)
 
bool hasGenericMaterialPropertyByName (const std::string &name)
 
const FunctiongetFunction (const std::string &name) const
 
const FunctiongetFunctionByName (const FunctionName &name) const
 
bool hasFunction (const std::string &param_name) const
 
bool hasFunctionByName (const FunctionName &name) const
 
bool isDefaultPostprocessorValue (const std::string &param_name, const unsigned int index=0) const
 
bool hasPostprocessor (const std::string &param_name, const unsigned int index=0) const
 
bool hasPostprocessorByName (const PostprocessorName &name) const
 
std::size_t coupledPostprocessors (const std::string &param_name) const
 
const PostprocessorName & getPostprocessorName (const std::string &param_name, const unsigned int index=0) const
 
const VectorPostprocessorValuegetVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name, bool needs_broadcast) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name, bool needs_broadcast) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name, bool needs_broadcast) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name, bool needs_broadcast) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
bool hasVectorPostprocessor (const std::string &param_name, const std::string &vector_name) const
 
bool hasVectorPostprocessor (const std::string &param_name) const
 
bool hasVectorPostprocessorByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
bool hasVectorPostprocessorByName (const VectorPostprocessorName &name) const
 
const VectorPostprocessorName & getVectorPostprocessorName (const std::string &param_name) const
 
T & getSampler (const std::string &name)
 
SamplergetSampler (const std::string &name)
 
T & getSamplerByName (const SamplerName &name)
 
SamplergetSamplerByName (const SamplerName &name)
 
virtual void meshChanged ()
 
virtual void meshDisplaced ()
 
PerfGraphperfGraph ()
 
const PostprocessorValuegetPostprocessorValue (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValue (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOld (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOld (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOlder (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOlder (const std::string &param_name, const unsigned int index=0) const
 
virtual const PostprocessorValuegetPostprocessorValueByName (const PostprocessorName &name) const
 
virtual const PostprocessorValuegetPostprocessorValueByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOldByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOldByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOlderByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOlderByName (const PostprocessorName &name) const
 
bool isVectorPostprocessorDistributed (const std::string &param_name) const
 
bool isVectorPostprocessorDistributed (const std::string &param_name) const
 
bool isVectorPostprocessorDistributedByName (const VectorPostprocessorName &name) const
 
bool isVectorPostprocessorDistributedByName (const VectorPostprocessorName &name) const
 
const DistributiongetDistribution (const std::string &name) const
 
const T & getDistribution (const std::string &name) const
 
const DistributiongetDistribution (const std::string &name) const
 
const T & getDistribution (const std::string &name) const
 
const DistributiongetDistributionByName (const DistributionName &name) const
 
const T & getDistributionByName (const std::string &name) const
 
const DistributiongetDistributionByName (const DistributionName &name) const
 
const T & getDistributionByName (const std::string &name) const
 
const Parallel::Communicator & comm () const
 
processor_id_type n_processors () const
 
processor_id_type processor_id () const
 
const std::string & modelMetaDataName () const
 Accessor for the name of the model meta data. More...
 
const FileName & getModelDataFileName () const
 Get the associated filename. More...
 
bool hasModelData () const
 Check if we need to load model data (if the filename parameter is used) More...
 
template<>
SurrogateModelgetSurrogateModel (const std::string &name) const
 
template<>
SurrogateTrainerBasegetSurrogateTrainer (const std::string &name) const
 
template<>
SurrogateModelgetSurrogateModelByName (const UserObjectName &name) const
 
template<>
SurrogateTrainerBasegetSurrogateTrainerByName (const UserObjectName &name) const
 
template<typename T , typename... Args>
T & declareModelData (const std::string &data_name, Args &&... args)
 Declare model data for loading from file as well as restart. More...
 
template<typename T , typename... Args>
const T & getModelData (const std::string &data_name, Args &&... args) const
 Retrieve model data from the interface. More...
 
template<typename T = SurrogateModel>
T & getSurrogateModel (const std::string &name) const
 Get a SurrogateModel/Trainer with a given name. More...
 
template<typename T = SurrogateTrainerBase>
T & getSurrogateTrainer (const std::string &name) const
 
template<typename T = SurrogateModel>
T & getSurrogateModelByName (const UserObjectName &name) const
 Get a sampler with a given name. More...
 
template<typename T = SurrogateTrainerBase>
T & getSurrogateTrainerByName (const UserObjectName &name) const
 

Static Public Member Functions

static InputParameters validParams ()
 
static void sort (typename std::vector< T > &vector)
 
static void sortDFS (typename std::vector< T > &vector)
 
static void cyclicDependencyError (CyclicDependencyException< T2 > &e, const std::string &header)
 

Public Attributes

const ConsoleStream _console
 

Static Public Attributes

static constexpr PropertyValue::id_type default_property_id
 
static constexpr PropertyValue::id_type zero_property_id
 
static constexpr auto SYSTEM
 
static constexpr auto NAME
 

Protected Member Functions

virtual void addPostprocessorDependencyHelper (const PostprocessorName &name) const override
 
virtual void addVectorPostprocessorDependencyHelper (const VectorPostprocessorName &name) const override
 
virtual void addUserObjectDependencyHelper (const UserObject &uo) const override
 
void addReporterDependencyHelper (const ReporterName &reporter_name) override
 
const ReporterNamegetReporterName (const std::string &param_name) const
 
T & declareRestartableData (const std::string &data_name, Args &&... args)
 
ManagedValue< T > declareManagedRestartableDataWithContext (const std::string &data_name, void *context, Args &&... args)
 
const T & getRestartableData (const std::string &data_name) const
 
T & declareRestartableDataWithContext (const std::string &data_name, void *context, Args &&... args)
 
T & declareRecoverableData (const std::string &data_name, Args &&... args)
 
T & declareRestartableDataWithObjectName (const std::string &data_name, const std::string &object_name, Args &&... args)
 
T & declareRestartableDataWithObjectNameWithContext (const std::string &data_name, const std::string &object_name, void *context, Args &&... args)
 
std::string restartableName (const std::string &data_name) const
 
const T & getMeshProperty (const std::string &data_name, const std::string &prefix)
 
const T & getMeshProperty (const std::string &data_name)
 
bool hasMeshProperty (const std::string &data_name, const std::string &prefix) const
 
bool hasMeshProperty (const std::string &data_name, const std::string &prefix) const
 
bool hasMeshProperty (const std::string &data_name) const
 
bool hasMeshProperty (const std::string &data_name) const
 
std::string meshPropertyName (const std::string &data_name) const
 
PerfID registerTimedSection (const std::string &section_name, const unsigned int level) const
 
PerfID registerTimedSection (const std::string &section_name, const unsigned int level, const std::string &live_message, const bool print_dots=true) const
 
std::string timedSectionName (const std::string &section_name) const
 
bool isCoupledScalar (const std::string &var_name, unsigned int i=0) const
 
unsigned int coupledScalarComponents (const std::string &var_name) const
 
unsigned int coupledScalar (const std::string &var_name, unsigned int comp=0) const
 
libMesh::Order coupledScalarOrder (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarValue (const std::string &var_name, unsigned int comp=0) const
 
const ADVariableValueadCoupledScalarValue (const std::string &var_name, unsigned int comp=0) const
 
const GenericVariableValue< is_ad > & coupledGenericScalarValue (const std::string &var_name, unsigned int comp=0) const
 
const GenericVariableValue< false > & coupledGenericScalarValue (const std::string &var_name, const unsigned int comp) const
 
const GenericVariableValue< true > & coupledGenericScalarValue (const std::string &var_name, const unsigned int comp) const
 
const VariableValuecoupledVectorTagScalarValue (const std::string &var_name, TagID tag, unsigned int comp=0) const
 
const VariableValuecoupledMatrixTagScalarValue (const std::string &var_name, TagID tag, unsigned int comp=0) const
 
const VariableValuecoupledScalarValueOld (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarValueOlder (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDot (const std::string &var_name, unsigned int comp=0) const
 
const ADVariableValueadCoupledScalarDot (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDot (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotOld (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDotOld (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDu (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDotDu (const std::string &var_name, unsigned int comp=0) const
 
const MooseVariableScalargetScalarVar (const std::string &var_name, unsigned int comp) const
 
virtual void checkMaterialProperty (const std::string &name, const unsigned int state)
 
void markMatPropRequested (const std::string &)
 
MaterialPropertyName getMaterialPropertyName (const std::string &name) const
 
void checkExecutionStage ()
 
const T & getReporterValue (const std::string &param_name, const std::size_t time_index=0)
 
const T & getReporterValue (const std::string &param_name, ReporterMode mode, const std::size_t time_index=0)
 
const T & getReporterValue (const std::string &param_name, const std::size_t time_index=0)
 
const T & getReporterValue (const std::string &param_name, ReporterMode mode, const std::size_t time_index=0)
 
const T & getReporterValueByName (const ReporterName &reporter_name, const std::size_t time_index=0)
 
const T & getReporterValueByName (const ReporterName &reporter_name, ReporterMode mode, const std::size_t time_index=0)
 
const T & getReporterValueByName (const ReporterName &reporter_name, const std::size_t time_index=0)
 
const T & getReporterValueByName (const ReporterName &reporter_name, ReporterMode mode, const std::size_t time_index=0)
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
const GenericMaterialProperty< T, is_ad > * defaultGenericMaterialProperty (const std::string &name)
 
const GenericMaterialProperty< T, is_ad > * defaultGenericMaterialProperty (const std::string &name)
 
const MaterialProperty< T > * defaultMaterialProperty (const std::string &name)
 
const MaterialProperty< T > * defaultMaterialProperty (const std::string &name)
 
const ADMaterialProperty< T > * defaultADMaterialProperty (const std::string &name)
 
const ADMaterialProperty< T > * defaultADMaterialProperty (const std::string &name)
 
CovarianceFunctionBasegetCovarianceFunctionByName (const UserObjectName &name) const
 Lookup a CovarianceFunction object by name and return pointer. More...
 

Static Protected Member Functions

static std::string meshPropertyName (const std::string &data_name, const std::string &prefix)
 

Protected Attributes

SubProblem_subproblem
 
FEProblemBase_fe_problem
 
SystemBase_sys
 
const THREAD_ID _tid
 
Assembly_assembly
 
const Moose::CoordinateSystemType_coord_sys
 
const bool _duplicate_initial_execution
 
std::set< std::string > _depend_uo
 
const bool & _enabled
 
MooseApp_app
 
const std::string _type
 
const std::string _name
 
const InputParameters_pars
 
Factory_factory
 
ActionFactory_action_factory
 
const ExecFlagEnum_execute_enum
 
const ExecFlagType_current_execute_flag
 
MooseApp_restartable_app
 
const std::string _restartable_system_name
 
const THREAD_ID _restartable_tid
 
const bool _restartable_read_only
 
FEProblemBase_mci_feproblem
 
FEProblemBase_mdi_feproblem
 
MooseApp_pg_moose_app
 
const std::string _prefix
 
FEProblemBase_sc_fe_problem
 
const THREAD_ID _sc_tid
 
const Real_real_zero
 
const VariableValue_scalar_zero
 
const Point & _point_zero
 
const InputParameters_mi_params
 
const std::string _mi_name
 
const MooseObjectName _mi_moose_object_name
 
FEProblemBase_mi_feproblem
 
SubProblem_mi_subproblem
 
const THREAD_ID _mi_tid
 
const Moose::MaterialDataType _material_data_type
 
MaterialData_material_data
 
bool _stateful_allowed
 
bool _get_material_property_called
 
std::vector< std::unique_ptr< PropertyValue > > _default_properties
 
std::unordered_set< unsigned int_material_property_dependencies
 
const MaterialPropertyName _get_suffix
 
const bool _use_interpolated_state
 
const InputParameters_ti_params
 
FEProblemBase_ti_feproblem
 
bool _is_implicit
 
Real_t
 
const Real_t_old
 
int_t_step
 
Real_dt
 
Real_dt_old
 
bool _is_transient
 
const Parallel::Communicator & _communicator
 

Static Protected Attributes

static const std::string _interpolated_old
 
static const std::string _interpolated_older
 

Private Attributes

const std::string _model_meta_data_name
 Name for the meta data associated with training. More...
 
StochasticTools::GaussianProcess_gp
 The GP handler. More...
 
RealEigenMatrix_training_params
 Paramaters (x) used for training, along with statistics. More...
 
bool _standardize_params
 Switch for training param (x) standardization. More...
 
bool _standardize_data
 Switch for training data(y) standardization. More...
 
const StochasticTools::GaussianProcess::GPOptimizerOptions _optimization_opts
 Struct holding parameters necessary for parameter tuning. More...
 

Detailed Description

Definition at line 30 of file ActiveLearningGaussianProcess.h.

Constructor & Destructor Documentation

◆ ActiveLearningGaussianProcess()

ActiveLearningGaussianProcess::ActiveLearningGaussianProcess ( const InputParameters parameters)

Definition at line 47 of file ActiveLearningGaussianProcess.C.

51  _gp(declareModelData<StochasticTools::GaussianProcess>("_gp")),
52  _training_params(declareModelData<RealEigenMatrix>("_training_params")),
53  _standardize_params(getParam<bool>("standardize_params")),
54  _standardize_data(getParam<bool>("standardize_data")),
56  getParam<unsigned int>("show_every_nth_iteration"),
57  getParam<unsigned int>("num_iters"),
58  getParam<unsigned int>("batch_size"),
59  getParam<Real>("learning_rate")))
60 {
61  _gp.initialize(getCovarianceFunctionByName(getParam<UserObjectName>("covariance_function")),
62  getParam<std::vector<std::string>>("tune_parameters"),
63  getParam<std::vector<Real>>("tuning_min"),
64  getParam<std::vector<Real>>("tuning_max"));
65 }
SurrogateTrainerBase(const InputParameters &parameters)
RealEigenMatrix & _training_params
Paramaters (x) used for training, along with statistics.
Structure containing the optimization options for hyperparameter-tuning.
const T & getParam(const std::string &name) const
void initialize(CovarianceFunctionBase *covariance_function, const std::vector< std::string > &params_to_tune, const std::vector< Real > &min=std::vector< Real >(), const std::vector< Real > &max=std::vector< Real >())
Initializes the most important structures in the Gaussian Process: the covariance function and a tuni...
bool _standardize_data
Switch for training data(y) standardization.
const InputParameters & parameters() const
StochasticTools::GaussianProcess & _gp
The GP handler.
const StochasticTools::GaussianProcess::GPOptimizerOptions _optimization_opts
Struct holding parameters necessary for parameter tuning.
bool _standardize_params
Switch for training param (x) standardization.
SurrogateModelInterface(const MooseObject *moose_object)
CovarianceInterface(const InputParameters &parameters)
CovarianceFunctionBase * getCovarianceFunctionByName(const UserObjectName &name) const
Lookup a CovarianceFunction object by name and return pointer.

Member Function Documentation

◆ declareModelData()

template<typename T , typename... Args>
T & RestartableModelInterface::declareModelData ( const std::string &  data_name,
Args &&...  args 
)
inherited

Declare model data for loading from file as well as restart.

Definition at line 78 of file RestartableModelInterface.h.

79 {
80  return _model_restartable.declareRestartableData<T>(data_name, std::forward<Args>(args)...);
81 }
T & declareRestartableData(const std::string &data_name, Args &&... args)
Declare a piece of data as "restartable" and initialize it.
PublicRestartable _model_restartable
Member for interfacing with the framework&#39;s restartable system.

◆ execute()

virtual void ActiveLearningGaussianProcess::execute ( )
inlinefinalvirtual

Implements GeneralUserObject.

Definition at line 39 of file ActiveLearningGaussianProcess.h.

39 {}

◆ finalize()

virtual void SurrogateTrainerBase::finalize ( )
inlinevirtualinherited

Implements GeneralUserObject.

Reimplemented in SurrogateTrainer, and PODReducedBasisTrainer.

Definition at line 39 of file SurrogateTrainer.h.

39 {} // not required, but available

◆ getCovarianceFunctionByName()

CovarianceFunctionBase * CovarianceInterface::getCovarianceFunctionByName ( const UserObjectName &  name) const
protectedinherited

Lookup a CovarianceFunction object by name and return pointer.

Definition at line 25 of file CovarianceInterface.C.

Referenced by ActiveLearningGaussianProcess(), CovarianceFunctionBase::CovarianceFunctionBase(), GaussianProcessTrainer::GaussianProcessTrainer(), and GaussianProcessSurrogate::setupCovariance().

26 {
27  std::vector<CovarianceFunctionBase *> models;
29  .query()
30  .condition<AttribName>(name)
31  .condition<AttribSystem>("CovarianceFunction")
32  .queryInto(models);
33  if (models.empty())
34  mooseError("Unable to find a CovarianceFunction object with the name '" + name + "'");
35  return models[0];
36 }
void mooseError(Args &&... args)
TheWarehouse & theWarehouse() const
const std::string name
Definition: Setup.h:20
Query query()
FEProblemBase & _covar_feproblem
Reference to FEProblemBase instance.

◆ getGP()

const StochasticTools::GaussianProcess& ActiveLearningGaussianProcess::getGP ( ) const
inline

Definition at line 44 of file ActiveLearningGaussianProcess.h.

44 { return _gp; }
StochasticTools::GaussianProcess & _gp
The GP handler.

◆ getModelData()

template<typename T , typename... Args>
const T & RestartableModelInterface::getModelData ( const std::string &  data_name,
Args &&...  args 
) const
inherited

Retrieve model data from the interface.

Definition at line 85 of file RestartableModelInterface.h.

86 {
87  return _model_restartable.getRestartableData<T>(data_name, std::forward<Args>(args)...);
88 }
const T & getRestartableData(const std::string &data_name) const
Declare a piece of data as "restartable" and initialize it Similar to declareRestartableData but retu...
PublicRestartable _model_restartable
Member for interfacing with the framework&#39;s restartable system.

◆ getModelDataFileName()

const FileName & RestartableModelInterface::getModelDataFileName ( ) const
inherited

Get the associated filename.

Definition at line 33 of file RestartableModelInterface.C.

34 {
35  return _model_object.getParam<FileName>("filename");
36 }
const T & getParam(const std::string &name) const
const MooseObject & _model_object
Reference to the MooseObject that uses this interface.

◆ getSurrogateModel() [1/2]

template<>
SurrogateModel& SurrogateModelInterface::getSurrogateModel ( const std::string &  name) const
inherited

Definition at line 46 of file SurrogateModelInterface.C.

47 {
48  return getSurrogateModelByName<SurrogateModel>(_smi_params.get<UserObjectName>(name));
49 }
const InputParameters & _smi_params
Parameters of the object with this interface.
std::vector< std::pair< R1, R2 > > get(const std::string &param1, const std::string &param2) const
const std::string name
Definition: Setup.h:20

◆ getSurrogateModel() [2/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateModel ( const std::string &  name) const
inherited

Get a SurrogateModel/Trainer with a given name.

Parameters
nameThe name of the parameter key of the sampler to retrieve
Returns
The sampler with name associated with the parameter 'name'

Definition at line 81 of file SurrogateModelInterface.h.

Referenced by SurrogateTrainer::initialize().

82 {
83  return getSurrogateModelByName<T>(_smi_params.get<UserObjectName>(name));
84 }
const InputParameters & _smi_params
Parameters of the object with this interface.
std::vector< std::pair< R1, R2 > > get(const std::string &param1, const std::string &param2) const
const std::string name
Definition: Setup.h:20

◆ getSurrogateModelByName() [1/2]

template<>
SurrogateModel& SurrogateModelInterface::getSurrogateModelByName ( const UserObjectName &  name) const
inherited

Definition at line 31 of file SurrogateModelInterface.C.

32 {
33  std::vector<SurrogateModel *> models;
35  .query()
36  .condition<AttribName>(name)
37  .condition<AttribSystem>("SurrogateModel")
38  .queryInto(models);
39  if (models.empty())
40  mooseError("Unable to find a SurrogateModel object with the name '" + name + "'");
41  return *(models[0]);
42 }
void mooseError(Args &&... args)
FEProblemBase & _smi_feproblem
Reference to FEProblemBase instance.
TheWarehouse & theWarehouse() const
const std::string name
Definition: Setup.h:20
Query query()

◆ getSurrogateModelByName() [2/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateModelByName ( const UserObjectName &  name) const
inherited

Get a sampler with a given name.

Parameters
nameThe name of the sampler to retrieve
Returns
The sampler with name 'name'

Definition at line 88 of file SurrogateModelInterface.h.

Referenced by CrossValidationScores::CrossValidationScores(), EvaluateSurrogate::EvaluateSurrogate(), and InverseMapping::initialSetup().

89 {
90  std::vector<T *> models;
92  .query()
93  .condition<AttribName>(name)
94  .condition<AttribSystem>("SurrogateModel")
95  .queryInto(models);
96  if (models.empty())
97  mooseError("Unable to find a SurrogateModel object of type " + std::string(typeid(T).name()) +
98  " with the name '" + name + "'");
99  return *(models[0]);
100 }
void mooseError(Args &&... args)
FEProblemBase & _smi_feproblem
Reference to FEProblemBase instance.
TheWarehouse & theWarehouse() const
const std::string name
Definition: Setup.h:20
Query query()

◆ getSurrogateTrainer() [1/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateTrainer ( const std::string &  name) const
inherited

Definition at line 104 of file SurrogateModelInterface.h.

105 {
106  return getSurrogateTrainerByName<T>(_smi_params.get<UserObjectName>(name));
107 }
const InputParameters & _smi_params
Parameters of the object with this interface.
std::vector< std::pair< R1, R2 > > get(const std::string &param1, const std::string &param2) const
const std::string name
Definition: Setup.h:20

◆ getSurrogateTrainer() [2/2]

template<>
SurrogateTrainerBase& SurrogateModelInterface::getSurrogateTrainer ( const std::string &  name) const
inherited

Definition at line 60 of file SurrogateModelInterface.C.

61 {
62  return getSurrogateTrainerByName<SurrogateTrainerBase>(_smi_params.get<UserObjectName>(name));
63 }
const InputParameters & _smi_params
Parameters of the object with this interface.
std::vector< std::pair< R1, R2 > > get(const std::string &param1, const std::string &param2) const
const std::string name
Definition: Setup.h:20

◆ getSurrogateTrainerByName() [1/2]

template<>
SurrogateTrainerBase& SurrogateModelInterface::getSurrogateTrainerByName ( const UserObjectName &  name) const
inherited

Definition at line 53 of file SurrogateModelInterface.C.

54 {
56 }
T & getUserObject(const std::string &name, unsigned int tid=0) const
FEProblemBase & _smi_feproblem
Reference to FEProblemBase instance.
const std::string name
Definition: Setup.h:20
This is the base trainer class whose main functionality is the API for declaring model data...

◆ getSurrogateTrainerByName() [2/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateTrainerByName ( const UserObjectName &  name) const
inherited

Definition at line 111 of file SurrogateModelInterface.h.

Referenced by SurrogateTrainerOutput::output().

112 {
113  SurrogateTrainerBase * base_ptr =
115  T * obj_ptr = dynamic_cast<T *>(base_ptr);
116  if (!obj_ptr)
117  mooseError("Failed to find a SurrogateTrainer object of type " + std::string(typeid(T).name()) +
118  " with the name '",
119  name,
120  "' for the desired type.");
121  return *obj_ptr;
122 }
T & getUserObject(const std::string &name, unsigned int tid=0) const
void mooseError(Args &&... args)
FEProblemBase & _smi_feproblem
Reference to FEProblemBase instance.
const std::string name
Definition: Setup.h:20
const THREAD_ID _smi_tid
Thread ID.
This is the base trainer class whose main functionality is the API for declaring model data...

◆ gp()

StochasticTools::GaussianProcess& ActiveLearningGaussianProcess::gp ( )
inline

Definition at line 43 of file ActiveLearningGaussianProcess.h.

43 { return _gp; }
StochasticTools::GaussianProcess & _gp
The GP handler.

◆ hasModelData()

bool RestartableModelInterface::hasModelData ( ) const
inherited

Check if we need to load model data (if the filename parameter is used)

Definition at line 39 of file RestartableModelInterface.C.

40 {
41  return _model_object.isParamValid("filename");
42 }
bool isParamValid(const std::string &name) const
const MooseObject & _model_object
Reference to the MooseObject that uses this interface.

◆ initialize()

virtual void ActiveLearningGaussianProcess::initialize ( )
inlinefinalvirtual

Reimplemented from SurrogateTrainerBase.

Definition at line 38 of file ActiveLearningGaussianProcess.h.

38 {}

◆ modelMetaDataName()

const std::string& RestartableModelInterface::modelMetaDataName ( ) const
inlineinherited

Accessor for the name of the model meta data.

Definition at line 47 of file RestartableModelInterface.h.

Referenced by SurrogateTrainerOutput::output(), and MappingOutput::output().

47 { return _model_meta_data_name; }
const std::string _model_meta_data_name
The model meta data name.

◆ reTrain()

void ActiveLearningGaussianProcess::reTrain ( const std::vector< std::vector< Real >> &  inputs,
const std::vector< Real > &  outputs 
) const
finalvirtual

Definition at line 68 of file ActiveLearningGaussianProcess.C.

Referenced by BiFidelityActiveLearningGPDecision::preNeedSample(), and ActiveLearningGPDecision::preNeedSample().

70 {
71 
72  // Addtional error check for each re-train call of the GP surrogate
73  if (inputs.size() != outputs.size())
74  mooseError("Number of inputs (",
75  inputs.size(),
76  ") does not match number of outputs (",
77  outputs.size(),
78  ").");
79  if (inputs.empty())
80  mooseError("There is no data for retraining.");
81 
82  RealEigenMatrix training_data;
83  _training_params.setZero(outputs.size(), inputs[0].size());
84  training_data.setZero(outputs.size(), 1);
85 
86  for (unsigned int i = 0; i < outputs.size(); ++i)
87  {
88  training_data(i, 0) = outputs[i];
89  for (unsigned int j = 0; j < inputs[i].size(); ++j)
90  _training_params(i, j) = inputs[i][j];
91  }
92 
93  // Standardize (center and scale) training params
96  // if not standardizing data set mean=0, std=1 for use in surrogate
97  else
98  _gp.paramStandardizer().set(0, 1, inputs[0].size());
99 
100  // Standardize (center and scale) training data
101  if (_standardize_data)
102  _gp.standardizeData(training_data);
103  // if not standardizing data set mean=0, std=1 for use in surrogate
104  else
105  _gp.dataStandardizer().set(0, 1, inputs[0].size());
106 
107  // Setup the covariance
109 }
void setupCovarianceMatrix(const RealEigenMatrix &training_params, const RealEigenMatrix &training_data, const GPOptimizerOptions &opts)
Sets up the covariance matrix given data and optimization options.
RealEigenMatrix & _training_params
Paramaters (x) used for training, along with statistics.
void standardizeData(RealEigenMatrix &data, bool keep_moments=false)
Standardizes the vector of responses (y values).
StochasticTools::Standardizer & dataStandardizer()
StochasticTools::Standardizer & paramStandardizer()
Get non-constant reference to the contained structures (if they need to be modified from the utside) ...
Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > RealEigenMatrix
bool _standardize_data
Switch for training data(y) standardization.
void set(const Real &n)
Methods for setting mean and standard deviation directly Sets mean=0, std=1 for n variables...
Definition: Standardizer.C:16
void mooseError(Args &&... args) const
static const std::complex< double > j(0, 1)
Complex number "j" (also known as "i")
StochasticTools::GaussianProcess & _gp
The GP handler.
const StochasticTools::GaussianProcess::GPOptimizerOptions _optimization_opts
Struct holding parameters necessary for parameter tuning.
bool _standardize_params
Switch for training param (x) standardization.
void standardizeParameters(RealEigenMatrix &parameters, bool keep_moments=false)
Standardizes the vector of input parameters (x values).

◆ threadJoin()

virtual void SurrogateTrainerBase::threadJoin ( const UserObject )
inlinefinalvirtualinherited

Reimplemented from GeneralUserObject.

Definition at line 40 of file SurrogateTrainer.h.

40 {} // GeneralUserObjects are not threaded

◆ validParams()

InputParameters ActiveLearningGaussianProcess::validParams ( )
static

Definition at line 23 of file ActiveLearningGaussianProcess.C.

24 {
26  params.addClassDescription(
27  "Permit re-training Gaussian Process surrogate model for active learning.");
28  params.addRequiredParam<UserObjectName>("covariance_function", "Name of covariance function.");
29  params.addParam<bool>(
30  "standardize_params", true, "Standardize (center and scale) training parameters (x values)");
31  params.addParam<bool>(
32  "standardize_data", true, "Standardize (center and scale) training data (y values)");
33  params.addParam<unsigned int>("num_iters", 1000, "Tolerance value for Adam optimization");
34  params.addParam<unsigned int>("batch_size", 0, "The batch size for Adam optimization");
35  params.addParam<Real>("learning_rate", 0.001, "The learning rate for Adam optimization");
36  params.addParam<unsigned int>(
37  "show_every_nth_iteration",
38  0,
39  "Switch to show Adam optimization loss values at every nth step. If 0, nothing is showed.");
40  params.addParam<std::vector<std::string>>(
41  "tune_parameters", {}, "Select hyperparameters to be tuned");
42  params.addParam<std::vector<Real>>("tuning_min", {}, "Minimum allowable tuning value");
43  params.addParam<std::vector<Real>>("tuning_max", {}, "Maximum allowable tuning value");
44  return params;
45 }
void addParam(const std::string &name, const std::initializer_list< typename T::value_type > &value, const std::string &doc_string)
void addRequiredParam(const std::string &name, const std::string &doc_string)
static InputParameters validParams()
DIE A HORRIBLE DEATH HERE typedef LIBMESH_DEFAULT_SCALAR_TYPE Real
void addClassDescription(const std::string &doc_string)

Member Data Documentation

◆ _gp

StochasticTools::GaussianProcess& ActiveLearningGaussianProcess::_gp
private

The GP handler.

Definition at line 51 of file ActiveLearningGaussianProcess.h.

Referenced by ActiveLearningGaussianProcess(), getGP(), gp(), and reTrain().

◆ _model_meta_data_name

const std::string ActiveLearningGaussianProcess::_model_meta_data_name
private

Name for the meta data associated with training.

Definition at line 48 of file ActiveLearningGaussianProcess.h.

◆ _optimization_opts

const StochasticTools::GaussianProcess::GPOptimizerOptions ActiveLearningGaussianProcess::_optimization_opts
private

Struct holding parameters necessary for parameter tuning.

Definition at line 63 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().

◆ _standardize_data

bool ActiveLearningGaussianProcess::_standardize_data
private

Switch for training data(y) standardization.

Definition at line 60 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().

◆ _standardize_params

bool ActiveLearningGaussianProcess::_standardize_params
private

Switch for training param (x) standardization.

Definition at line 57 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().

◆ _training_params

RealEigenMatrix& ActiveLearningGaussianProcess::_training_params
private

Paramaters (x) used for training, along with statistics.

Definition at line 54 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().


The documentation for this class was generated from the following files: