DataModelRep Class Reference

Body class for model specification data. More...

List of all members.

Public Attributes
String	idModel
	string identifier for the model specification data set (from the id_model specification in ModelIndControl)
String	modelType
	model type selection: single, surrogate, or nested (from the model type specification in ModelIndControl)
String	variablesPointer
	string pointer to the variables specification to be used by this model (from the variables_pointer specification in ModelIndControl)
String	interfacePointer
	string pointer to the interface specification to be used by this model (from the interface_pointer specification in ModelSingle and the optional_interface_pointer specification in ModelNested)
String	responsesPointer
	string pointer to the responses specification to be used by this model (from the responses_pointer specification in ModelIndControl)
bool	hierarchicalTags
	whether this model and its children will add hierarchy-based tags to eval ids
String	subMethodPointer
	pointer to a sub-iterator used for global approximations (from the dace_method_pointer specification in ModelSurrG) or by nested models (from the sub_method_pointer specification in ModelNested)
IntSet	surrogateFnIndices
	array specifying the response function set that is approximated
String	surrogateType
	the selected surrogate type: local_taylor, multipoint_tana, global_(neural_network,mars,orthogonal_polynomial,gaussian, polynomial,kriging), or hierarchical
String	truthModelPointer
	pointer to the model specification for constructing the truth model used in building local, multipoint, and hierarchical approximations (from the actual_model_pointer specification in ModelSurrL and ModelSurrMP and the high_fidelity_model_pointer specification in ModelSurrH)
String	lowFidelityModelPointer
	pointer to the low fidelity model specification used in hierarchical approximations (from the low_fidelity_model_pointer specification in ModelSurrH)
int	pointsTotal
	user-specified lower bound on total points with which to build the model (if reuse_points < pointsTotal, new samples will make up the difference)
short	pointsManagement
	points management configuration for DataFitSurrModel: DEFAULT_POINTS, MINIMUM_POINTS, or RECOMMENDED_POINTS
String	approxPointReuse
	sample reuse selection for building global approximations: none, all, region, or file (from the reuse_samples specification in ModelSurrG)
String	approxImportFile
	the file name from the import_points_file specification in ModelSurrG
unsigned short	approxImportFormat
	tabular format for the point import file
bool	approxImportActive
	whether to import active variables only
String	approxExportFile
	the file name from the export_points_file specification in ModelSurrG
unsigned short	approxExportFormat
	tabular format for the point export file
String	approxExportModelFile
	the file name from the export_model_file specification in ModelSurrG
short	approxCorrectionType
	correction type for global and hierarchical approximations: NO_CORRECTION, ADDITIVE_CORRECTION, MULTIPLICATIVE_CORRECTION, or COMBINED_CORRECTION (from the correction specification in ModelSurrG and ModelSurrH)
short	approxCorrectionOrder
	correction order for global and hierarchical approximations: 0, 1, or 2 (from the correction specification in ModelSurrG and ModelSurrH)
bool	modelUseDerivsFlag
	flags the use of derivatives in building global approximations (from the use_derivatives specification in ModelSurrG)
short	polynomialOrder
	scalar integer indicating the order of the polynomial approximation (1=linear, 2=quadratic, 3=cubic; from the polynomial specification in ModelSurrG)
RealVector	krigingCorrelations
	vector of correlations used in building a kriging approximation (from the correlations specification in ModelSurrG)
String	krigingOptMethod
	optimization method to use in finding optimal correlation parameters: none, sampling, local, global
short	krigingMaxTrials
	maximum number of trials in optimization of kriging correlations
RealVector	krigingMaxCorrelations
	upper bound on kriging correlation vector
RealVector	krigingMinCorrelations
	lower bound on kriging correlation vector
Real	krigingNugget
	nugget value for kriging
short	krigingFindNugget
	option to have Kriging find the best nugget value to use
short	mlsPolyOrder
	polynomial order for moving least squares approximation
short	mlsWeightFunction
	weight function for moving least squares approximation
short	rbfBases
	bases for radial basis function approximation
short	rbfMaxPts
	maximum number of points for radial basis function approximation
short	rbfMaxSubsets
	maximum number of subsets for radial basis function approximation
short	rbfMinPartition
	minimum partition for radial basis function approximation
short	marsMaxBases
	maximum number of bases for MARS approximation
String	marsInterpolation
	interpolation type for MARS approximation
short	annRandomWeight
	random weight for artificial neural network approximation
short	annNodes
	number of nodes for artificial neural network approximation
Real	annRange
	range for artificial neural network approximation
bool	piecewiseDecomp
	whether piecewise decomposition is enabled
String	decompCellType
	type of local cell of piecewise decomp
int	decompSupportLayers
	number of support layers for each local basis function
bool	decompDiscontDetect
	whether discontinuity detection is enabled
Real	discontJumpThresh
	function value (jump) threshold for discontinuity detection in piecewise decomp
Real	discontGradThresh
	gradient threshold for discontinuity detection in piecewise decomp
String	trendOrder
	scalar integer indicating the order of the Gaussian process mean (0= constant, 1=linear, 2=quadratic, 3=cubic); from the gaussian_process specification in ModelSurrG)
bool	pointSelection
	flag indicating the use of point selection in the Gaussian process
StringArray	diagMetrics
	List of diagnostic metrics the user requests to assess the goodness of fit for a surrogate model.
bool	crossValidateFlag
	flag indicating the use of cross validation on the metrics specified
int	numFolds
	number of folds to perform in cross validation
Real	percentFold
	percentage of data to withhold for cross validation process
bool	pressFlag
	flag indicating the use of PRESS on the metrics specified
String	approxChallengeFile
	the file name from the challenge_points_file specification in ModelSurrG
unsigned short	approxChallengeFormat
	tabular format of the challenge data file
bool	approxChallengeActive
	whether to import active variables only
String	optionalInterfRespPointer
	string pointer to the responses specification used by the optional interface in nested models (from the optional_interface_responses_pointer specification in ModelNested)
StringArray	primaryVarMaps
	the primary variable mappings used in nested models for identifying the lower level variable targets for inserting top level variable values (from the primary_variable_mapping specification in ModelNested)
StringArray	secondaryVarMaps
	the secondary variable mappings used in nested models for identifying the (distribution) parameter targets within the lower level variables for inserting top level variable values (from the secondary_variable_mapping specification in ModelNested)
RealVector	primaryRespCoeffs
	the primary response mapping matrix used in nested models for weighting contributions from the sub-iterator responses in the top level (objective) functions (from the primary_response_mapping specification in ModelNested)
RealVector	secondaryRespCoeffs
	the secondary response mapping matrix used in nested models for weighting contributions from the sub-iterator responses in the top level (constraint) functions (from the secondary_response_mapping specification in ModelNested)
int	subMethodServers
	number of servers for concurrent sub-iterator parallelism
int	subMethodProcs
	number of processors for each concurrent sub-iterator partition
short	subMethodScheduling
	scheduling approach for concurrent sub-iterator parallelism: {DEFAULT,MASTER,PEER}_SCHEDULING
Private Member Functions
	DataModelRep ()
	constructor
	~DataModelRep ()
	destructor
void	write (std::ostream &s) const
	write a DataModelRep object to an std::ostream
void	read (MPIUnpackBuffer &s)
	read a DataModelRep object from a packed MPI buffer
void	write (MPIPackBuffer &s) const
	write a DataModelRep object to a packed MPI buffer
Private Attributes
int	referenceCount
	number of handle objects sharing this dataModelRep
Friends
class	DataModel
	the handle class can access attributes of the body class directly

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Detailed Description

Body class for model specification data.

The DataModelRep class is used to contain the data from a model keyword specification. Default values are managed in the DataModelRep constructor. Data is public to avoid maintaining set/get functions, but is still encapsulated within ProblemDescDB since ProblemDescDB::dataModelList is private.

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

• DataModel.hpp
• DataModel.cpp