Data transformation specialization of RecastModel. More...

Inheritance diagram for DataTransformModel:

Public Member Functions
	DataTransformModel (const Model &sub_model, const ExperimentData &exp_data, const ShortShortPair &recast_vars_view, size_t num_hyper=0, unsigned short mult_mode=CALIBRATE_NONE, short recast_resp_deriv_order=1)
	standard constructor More...

	~DataTransformModel ()
	destructor

void	data_transform_response (const Variables &sub_model_vars, const Response &sub_model_resp, Response &residual_resp)
	Convenience function to help recover a residual response from the submodel.

void	data_resize ()
	The size of the ExperimentData changed; update the residualModel size.

void	print_best_responses (std::ostream &s, const Variables &best_submodel_vars, const Response &best_submodel_resp, size_t num_best, size_t best_ind)
	manage best responses including residuals and model responses per config

void	archive_best_responses (const ResultsManager &results_db, const StrStrSizet iterator_id, const Variables &best_submodel_vars, const Response &best_submodel_resp, size_t num_best, size_t best_ind)
	archive best responses

int	num_config_vars () const
	return number of configuration variables

Public Member Functions inherited from RecastModel
	RecastModel (const Model &sub_model, const Sizet2DArray &vars_map_indices, const SizetArray &vars_comps_total, const BitArray &all_relax_di, const BitArray &all_relax_dr, bool nonlinear_vars_mapping, const ShortShortPair &recast_vars_view, void(variables_map)(const Variables &recast_vars, Variables &sub_model_vars), void(set_map)(const Variables &recast_vars, const ActiveSet &recast_set, ActiveSet &sub_model_set), const Sizet2DArray &primary_resp_map_indices, const Sizet2DArray &secondary_resp_map_indices, size_t recast_secondary_offset, short recast_resp_order, const BoolDequeArray &nonlinear_resp_mapping, void(primary_resp_map)(const Variables &sub_model_vars, const Variables &recast_vars, const Response &sub_model_response, Response &recast_response), void(secondary_resp_map)(const Variables &sub_model_vars, const Variables &recast_vars, const Response &sub_model_response, Response &recast_response))
	standard (full) constructor; assumes provided sizes and map functions are final and constructs all member data More...

	RecastModel (const Model &sub_model, const SizetArray &vars_comps_totals, const BitArray &all_relax_di, const BitArray &all_relax_dr, const ShortShortPair &recast_vars_view, size_t num_recast_primary_fns, size_t num_recast_secondary_fns, size_t recast_secondary_offset, short recast_resp_order)
	alternate constructor; uses provided sizes to construct Variables, Response and Constraints so Model can be passed to an Iterator; requires subsequent init_maps() call. More...

	RecastModel (const Model &sub_model, const ShortShortPair &recast_vars_view)
	alternate constructor; only changes the view (NEED A SUBCLASS FOR THIS?) More...

	RecastModel (ProblemDescDB &problem_db, const Model &sub_model)
	Problem DB-based ctor, e.g., for use in subspace model; assumes mappings to be initialized later; only initializes based on sub-model.

	RecastModel (const Model &sub_model)
	lightest constructor used when transform sizes aren't known at construct time; doesn't initialize variables and responses, so this Model can't be used to construct an Iterator; requires subsequent init_sizes() and init_maps() calls.

	~RecastModel ()
	destructor

void	init_sizes (const ShortShortPair &recast_vars_view, const SizetArray &vars_comps_totals, const BitArray &all_relax_di, const BitArray &all_relax_dr, size_t num_recast_primary_fns, size_t num_recast_secondary_fns, size_t recast_secondary_offset, short recast_resp_order, bool &consistent_vars)
	update recast sizes and size Variables and Response members after alternate construction

void	init_maps (const Sizet2DArray &vars_map_indices, bool nonlinear_vars_mapping, void(variables_map)(const Variables &recast_vars, Variables &sub_model_vars), void(set_map)(const Variables &recast_vars, const ActiveSet &recast_set, ActiveSet &sub_model_set), const Sizet2DArray &primary_resp_map_indices, const Sizet2DArray &secondary_resp_map_indices, const BoolDequeArray &nonlinear_resp_mapping, void(primary_resp_map)(const Variables &sub_model_vars, const Variables &recast_vars, const Response &sub_model_response, Response &recast_response), void(secondary_resp_map)(const Variables &sub_model_vars, const Variables &recast_vars, const Response &sub_model_response, Response &recast_response))
	initialize recast indices and map callbacks after alternate construction More...

void	inverse_mappings (void(inv_vars_map)(const Variables &sub_model_vars, Variables &recast_vars), void(inv_set_map)(const Variables &sub_model_vars, const ActiveSet &sub_model_set, ActiveSet &recast_set), void(inv_pri_resp_map)(const Variables &recast_vars, const Variables &sub_model_vars, const Response &recast_resp, Response &sub_model_resp), void(inv_sec_resp_map)(const Variables &recast_vars, const Variables &sub_model_vars, const Response &recast_resp, Response &sub_model_resp))
	provide optional inverse mappings

void	transform_variables (const Variables &recast_vars, Variables &sub_model_vars)
	perform transformation of Variables (recast --> sub-model)

void	transform_set (const Variables &recast_vars, const ActiveSet &recast_set, ActiveSet &sub_model_set)
	into sub_model_set for use with subModel.

void	transform_response (const Variables &recast_vars, const Variables &sub_model_vars, const Response &sub_model_resp, Response &recast_resp)
	perform transformation of Response (sub-model --> recast)

void	transform_response_map (const IntResponseMap &old_resp_map, IntResponseMap &new_resp_map)
	invoke transform_response() on each response within old_resp_map to create new_resp_map

void	inverse_transform_variables (const Variables &sub_model_vars, Variables &recast_vars)
	perform inverse transformation of Variables (sub-model --> recast)

void	inverse_transform_set (const Variables &sub_model_vars, const ActiveSet &sub_model_set, ActiveSet &recast_set)
	into sub_model_set for use with subModel.

void	inverse_transform_response (const Variables &sub_model_vars, const Variables &recast_vars, const Response &recast_resp, Response &sub_model_resp)
	perform inverse transformation of Response (recast --> sub-model)

void	submodel_supports_derivative_estimation (bool sed_flag)
	override the submodel's derivative estimation behavior

String	root_model_id ()
	Return the model ID of the "innermost" model. For all derived Models except RecastModels, return modelId. The RecastModel override returns the root_model_id() of the subModel.

ActiveSet	default_active_set ()

void	declare_sources ()
	Declare a model's sources to the evaluationsDB.

bool	nonlinear_variables_mapping () const
	return nonlinearVarsMapping

Public Member Functions inherited from Model
	Model ()
	default constructor More...

	Model (ProblemDescDB &problem_db)
	standard constructor for envelope More...

	Model (const Model &model)
	copy constructor More...

virtual	~Model ()
	destructor

Model	operator= (const Model &model)
	assignment operator

virtual unsigned short	active_surrogate_model_form (size_t i) const
	return the model form of the i-th active surrogate model

virtual unsigned short	active_truth_model_form () const
	return the model form of the active truth model

virtual bool	multifidelity () const
	identify if hierarchy is across model forms

virtual bool	multilevel () const
	identify if hierarchy is across resolution levels

virtual bool	multilevel_multifidelity () const
	identify if hierarchy is across both model forms and resolution levels

virtual bool	multifidelity_precedence () const
	return precedence for hierarchy definition, model forms or resolution levels

virtual void	multifidelity_precedence (bool mf_prec, bool update_default=false)
	assign precedence for hierarchy definition (model forms or resolution levels) as determined from algorithm context

virtual size_t	solution_levels (bool lwr_bnd=true) const
	number of discrete levels within solution control (SimulationModel) More...

virtual short	solution_control_variable_type () const
	return type of solution control variable

virtual size_t	solution_control_variable_index () const
	return index of solution control variable within all variables

virtual size_t	solution_control_discrete_variable_index () const
	return index of solution control variable within all discrete variables

virtual int	solution_level_int_value () const
	return the active (integer) value of the solution control

virtual String	solution_level_string_value () const
	return the active (string) value of the solution control

virtual Real	solution_level_real_value () const
	return the active (real) value of the solution control

virtual size_t	cost_metadata_index () const
	return index of online cost estimates within metadata

virtual bool	resize_pending () const
	return true if a potential resize is still pending, such that sizing-based initialization should be deferred

virtual void	trans_U_to_X (const RealVector &u_c_vars, RealVector &x_c_vars)
	transform u-space variable values to x-space

virtual void	trans_X_to_U (const RealVector &x_c_vars, RealVector &u_c_vars)
	transform x-space variable values to u-space

virtual void	rebuild_approximation (const IntResponsePair &response_pr)
	incremental rebuild of an existing SurrogateModel approximation

virtual void	rebuild_approximation (const IntResponseMap &resp_map)
	incremental rebuild of an existing SurrogateModel approximation

virtual void	update_approximation (const RealMatrix &samples, const IntResponseMap &resp_map, bool rebuild_flag)
	replace the data points within an existing surrogate

virtual void	append_approximation (const RealMatrix &samples, const IntResponseMap &resp_map, bool rebuild_flag)
	append multiple points to an existing surrogate's data

virtual void	append_approximation (const IntVariablesMap &vars_map, const IntResponseMap &resp_map, bool rebuild_flag)
	append multiple points to an existing surrogate's data

virtual void	replace_approximation (const IntResponsePair &response_pr, bool rebuild_flag)
	replace the response for a single point (based on eval id from response_pr) within an existing surrogate's data

virtual void	replace_approximation (const IntResponseMap &resp_map, bool rebuild_flag)
	replace the responses for a set of points (based on eval ids from resp_map) within an existing surrogate's data

virtual void	track_evaluation_ids (bool track)
	assigns a flag to track evaluation ids within surrogate data, enabling id-based lookups for data replacement

virtual bool	advancement_available ()
	query the approximation for available advancement in resolution controls (order, rank, etc.); an input to adaptive refinement strategies

virtual bool	formulation_updated () const
	query the approximation for updates in formulation, requiring a rebuild even if no updates to the build data

virtual void	formulation_updated (bool update)
	assign the status of approximation formulation updates

virtual void	run_dace ()
	execute the DACE iterator (prior to building/appending the approximation)

virtual bool	force_rebuild ()
	determine whether a surrogate model rebuild should be forced based on changes in the inactive data

virtual SharedApproxData &	shared_approximation ()
	retrieve the shared approximation data within the ApproximationInterface of a DataFitSurrModel

virtual short	surrogate_response_mode () const
	return response computation mode used in SurrogateModels for forming currentResponse

virtual DiscrepancyCorrection &	discrepancy_correction ()
	return the DiscrepancyCorrection object used by SurrogateModels

virtual unsigned short	correction_mode () const
	return correctionMode

virtual void	correction_mode (unsigned short corr_mode)
	set correctionMode

virtual void	single_apply (const Variables &vars, Response &resp, const Pecos::ActiveKey &paired_key)
	apply a DiscrepancyCorrection to correct an approximation within an EnsembleSurrModel

virtual void	recursive_apply (const Variables &vars, Response &resp)
	apply a sequence of DiscrepancyCorrections to recursively correct an approximation within an EnsembleSurrModel

virtual void	cache_unmatched_response (int raw_id)
	migrate an unmatched response record from active response map (computed by synchronize() or synhronize_nowait()) to cached response map

virtual void	cache_unmatched_responses ()
	migrate remaining response records from responseMap to cachedResponseMap

virtual void	create_2d_plots ()
	create 2D graphics plots for automatic logging of vars/response data

virtual void	create_tabular_datastream ()
	create a tabular output stream for automatic logging of vars/response data

virtual void	derived_auto_graphics (const Variables &vars, const Response &resp)
	Update tabular/graphics data with latest variables/response data.

virtual void	stop_init_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank 0 to terminate serve_init_mapping() on other iteratorComm processors

virtual int	serve_init_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank != 0 to balance resize() calls on iteratorComm rank 0

virtual void	stop_finalize_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank 0 to terminate serve_finalize_mapping() on other iteratorComm processors

virtual int	serve_finalize_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank != 0 to balance resize() calls on iteratorComm rank 0

ModelList &	subordinate_models (bool recurse_flag=true)
	return the sub-models in nested and surrogate models More...

void	evaluate ()
	Compute the Response at currentVariables (default ActiveSet).

void	evaluate (const ActiveSet &set)
	Compute the Response at currentVariables (specified ActiveSet).

void	evaluate_nowait ()
	Spawn an asynchronous job (or jobs) that computes the value of the Response at currentVariables (default ActiveSet).

void	evaluate_nowait (const ActiveSet &set)
	Spawn an asynchronous job (or jobs) that computes the value of the Response at currentVariables (specified ActiveSet).

const IntResponseMap &	synchronize ()
	Execute a blocking scheduling algorithm to collect the complete set of results from a group of asynchronous evaluations.

const IntResponseMap &	synchronize_nowait ()
	Execute a nonblocking scheduling algorithm to collect all available results from a group of asynchronous evaluations.

int	evaluation_id () const
	return Model's (top-level) evaluation counter, not to be confused with derived counter returned by derived_evaluation_id()

bool	mapping_initialized () const

void	init_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	allocate communicator partitions for a model and store configuration in modelPCIterMap More...

void	init_serial ()
	for cases where init_communicators() will not be called, modify some default settings to behave properly in serial. More...

void	set_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	set active parallel configuration for the model (set modelPCIter from modelPCIterMap)

void	free_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	deallocate communicator partitions for a model

MPI_Comm	analysis_comm () const
	retrieve the MPI communicator on which this model is configured to conduct function evaluation analyses (provided for library clients)

void	stop_init_communicators (ParLevLIter pl_iter)
	called from IteratorScheduler::init_iterator() for iteratorComm rank 0 to terminate serve_init_communicators() on other iteratorComm processors

int	serve_init_communicators (ParLevLIter pl_iter)
	called from IteratorScheduler::init_iterator() for iteratorComm rank != 0 to balance init_communicators() calls on iteratorComm rank 0

void	estimate_message_lengths ()
	estimate messageLengths for a model More...

size_t	response_size () const
	return (potentially aggregated) size of response vector in currentResponse

bool	manage_data_recastings ()
	initialize modelList and recastFlags for data import/export More...

bool	recastings () const
	return true if recastFlags is defined

void	user_space_to_iterator_space (const Variables &user_vars, const Response &user_resp, Variables &iter_vars, Response &iter_resp)
	employ the model recursion to transform from bottom level user-space data to top level iterator-space data

void	iterator_space_to_user_space (const Variables &iter_vars, const Response &iter_resp, Variables &user_vars, Response &user_resp)
	employ the model recursion to transform from top level iterator-space data to bottom level user-space data

void	assign_rep (std::shared_ptr< Model > model_rep)
	replaces existing letter with a new one More...

size_t	tv () const
	returns total number of vars

size_t	cv () const
	returns number of active continuous variables

size_t	div () const
	returns number of active discrete integer vars

size_t	dsv () const
	returns number of active discrete string vars

size_t	drv () const
	returns number of active discrete real vars

size_t	icv () const
	returns number of inactive continuous variables

size_t	idiv () const
	returns number of inactive discrete integer vars

size_t	idsv () const
	returns number of inactive discrete string vars

size_t	idrv () const
	returns number of inactive discrete real vars

size_t	acv () const
	returns total number of continuous variables

size_t	adiv () const
	returns total number of discrete integer vars

size_t	adsv () const
	returns total number of discrete string vars

size_t	adrv () const
	returns total number of discrete real vars

void	active_variables (const Variables &vars)
	set the active variables in currentVariables

void	inactive_variables (const Variables &vars)
	set the inactive variables in currentVariables

const RealVector &	continuous_variables () const
	return the active continuous variables from currentVariables

Real	continuous_variable (size_t i) const
	return an active continuous variable from currentVariables

void	continuous_variables (const RealVector &c_vars)
	set the active continuous variables in currentVariables

void	continuous_variable (Real c_var, size_t i)
	set an active continuous variable in currentVariables

const IntVector &	discrete_int_variables () const
	return the active discrete integer variables from currentVariables

int	discrete_int_variable (size_t i) const
	return an active discrete integer variable from currentVariables

void	discrete_int_variables (const IntVector &d_vars)
	set the active discrete integer variables in currentVariables

void	discrete_int_variable (int d_var, size_t i)
	set an active discrete integer variable in currentVariables

StringMultiArrayConstView	discrete_string_variables () const
	return the active discrete string variables from currentVariables

const String &	discrete_string_variable (size_t i) const
	return an active discrete string variable from currentVariables

void	discrete_string_variables (StringMultiArrayConstView d_vars)
	set the active discrete string variables in currentVariables

void	discrete_string_variable (const String &d_var, size_t i)
	set an active discrete string variable in currentVariables

const RealVector &	discrete_real_variables () const
	return the active discrete real variables from currentVariables

Real	discrete_real_variable (size_t i) const
	return an active discrete real variable from currentVariables

void	discrete_real_variables (const RealVector &d_vars)
	set the active discrete real variables in currentVariables

void	discrete_real_variable (Real d_var, size_t i)
	set an active discrete real variable in currentVariables

UShortMultiArrayConstView	continuous_variable_types () const
	return the active continuous variable types from currentVariables

void	continuous_variable_types (UShortMultiArrayConstView cv_types)
	set the active continuous variable types in currentVariables

void	continuous_variable_type (unsigned short cv_type, size_t i)
	set an active continuous variable type in currentVariables

UShortMultiArrayConstView	discrete_int_variable_types () const
	return the active discrete variable types from currentVariables

void	discrete_int_variable_types (UShortMultiArrayConstView div_types)
	set the active discrete variable types in currentVariables

void	discrete_int_variable_type (unsigned short div_type, size_t i)
	set an active discrete variable type in currentVariables

UShortMultiArrayConstView	discrete_string_variable_types () const
	return the active discrete variable types from currentVariables

void	discrete_string_variable_types (UShortMultiArrayConstView div_types)
	set the active discrete variable types in currentVariables

void	discrete_string_variable_type (unsigned short div_type, size_t i)
	set an active discrete variable type in currentVariables

UShortMultiArrayConstView	discrete_real_variable_types () const
	return the active discrete variable types from currentVariables

void	discrete_real_variable_types (UShortMultiArrayConstView drv_types)
	set the active discrete variable types in currentVariables

void	discrete_real_variable_type (unsigned short drv_type, size_t i)
	set an active discrete variable type in currentVariables

SizetMultiArrayConstView	continuous_variable_ids () const
	return the active continuous variable identifiers from currentVariables

void	continuous_variable_ids (SizetMultiArrayConstView cv_ids)
	set the active continuous variable identifiers in currentVariables

void	continuous_variable_id (size_t cv_id, size_t i)
	set an active continuous variable identifier in currentVariables

const RealVector &	inactive_continuous_variables () const
	return the inactive continuous variables in currentVariables

void	inactive_continuous_variables (const RealVector &i_c_vars)
	set the inactive continuous variables in currentVariables

const IntVector &	inactive_discrete_int_variables () const
	return the inactive discrete variables in currentVariables

void	inactive_discrete_int_variables (const IntVector &i_d_vars)
	set the inactive discrete variables in currentVariables

StringMultiArrayConstView	inactive_discrete_string_variables () const
	return the inactive discrete variables in currentVariables

void	inactive_discrete_string_variables (StringMultiArrayConstView i_d_vars)
	set the inactive discrete variables in currentVariables

const RealVector &	inactive_discrete_real_variables () const
	return the inactive discrete variables in currentVariables

void	inactive_discrete_real_variables (const RealVector &i_d_vars)
	set the inactive discrete variables in currentVariables

UShortMultiArrayConstView	inactive_continuous_variable_types () const
	return the inactive continuous variable types from currentVariables

SizetMultiArrayConstView	inactive_continuous_variable_ids () const
	return the inactive continuous variable identifiers from currentVariables

const RealVector &	all_continuous_variables () const
	return all continuous variables in currentVariables

void	all_continuous_variables (const RealVector &a_c_vars)
	set all continuous variables in currentVariables

void	all_continuous_variable (Real a_c_var, size_t i)
	set a variable within the all continuous variables in currentVariables

const IntVector &	all_discrete_int_variables () const
	return all discrete variables in currentVariables

void	all_discrete_int_variables (const IntVector &a_d_vars)
	set all discrete variables in currentVariables

void	all_discrete_int_variable (int a_d_var, size_t i)
	set a variable within the all discrete variables in currentVariables

StringMultiArrayConstView	all_discrete_string_variables () const
	return all discrete variables in currentVariables

void	all_discrete_string_variables (StringMultiArrayConstView a_d_vars)
	set all discrete variables in currentVariables

void	all_discrete_string_variable (const String &a_d_var, size_t i)
	set a variable within the all discrete variables in currentVariables

const RealVector &	all_discrete_real_variables () const
	return all discrete variables in currentVariables

void	all_discrete_real_variables (const RealVector &a_d_vars)
	set all discrete variables in currentVariables

void	all_discrete_real_variable (Real a_d_var, size_t i)
	set a variable within the all discrete variables in currentVariables

UShortMultiArrayConstView	all_continuous_variable_types () const
	return all continuous variable types from currentVariables

UShortMultiArrayConstView	all_discrete_int_variable_types () const
	return all discrete variable types from currentVariables

UShortMultiArrayConstView	all_discrete_string_variable_types () const
	return all discrete variable types from currentVariables

UShortMultiArrayConstView	all_discrete_real_variable_types () const
	return all discrete variable types from currentVariables

SizetMultiArrayConstView	all_continuous_variable_ids () const
	return all continuous variable identifiers from currentVariables

const BitArray &	discrete_int_sets ()
	define and return discreteIntSets using active view from currentVariables

const BitArray &	discrete_int_sets (short active_view)
	define and return discreteIntSets using passed active view

const IntSetArray &	discrete_set_int_values ()
	return the sets of values available for each of the active discrete set integer variables (aggregated in activeDiscSetIntValues)

const IntSetArray &	discrete_set_int_values (short active_view)
	return the sets of values available for each of the active discrete set integer variables (aggregated in activeDiscSetIntValues)

const StringSetArray &	discrete_set_string_values ()
	return the sets of values available for each of the active discrete set string variables (aggregated in activeDiscSetStringValues)

const StringSetArray &	discrete_set_string_values (short active_view)
	return the sets of values available for each of the active discrete set string variables (aggregated in activeDiscSetStringValues)

const RealSetArray &	discrete_set_real_values ()
	return the sets of values available for each of the active discrete set real variables (aggregated in activeDiscSetRealValues)

const RealSetArray &	discrete_set_real_values (short active_view)
	return the sets of values available for each of the active discrete set real variables (aggregated in activeDiscSetRealValues)

Pecos::MultivariateDistribution &	multivariate_distribution ()
	return mvDist

const Pecos::MultivariateDistribution &	multivariate_distribution () const
	return mvDist

StringMultiArrayConstView	continuous_variable_labels () const
	return the active continuous variable labels from currentVariables

void	continuous_variable_labels (StringMultiArrayConstView c_v_labels)
	set the active continuous variable labels in currentVariables

StringMultiArrayConstView	discrete_int_variable_labels () const
	return the active discrete variable labels from currentVariables

void	discrete_int_variable_labels (StringMultiArrayConstView d_v_labels)
	set the active discrete variable labels in currentVariables

StringMultiArrayConstView	discrete_string_variable_labels () const
	return the active discrete variable labels from currentVariables

void	discrete_string_variable_labels (StringMultiArrayConstView d_v_labels)
	set the active discrete variable labels in currentVariables

StringMultiArrayConstView	discrete_real_variable_labels () const
	return the active discrete variable labels from currentVariables

void	discrete_real_variable_labels (StringMultiArrayConstView d_v_labels)
	set the active discrete variable labels in currentVariables

StringArray	ordered_labels () const
	Return labels of all active variables in "input spec" order.

StringMultiArrayConstView	inactive_continuous_variable_labels () const
	return the inactive continuous variable labels in currentVariables

void	inactive_continuous_variable_labels (StringMultiArrayConstView i_c_v_labels)
	set the inactive continuous variable labels in currentVariables

StringMultiArrayConstView	inactive_discrete_int_variable_labels () const
	return the inactive discrete variable labels in currentVariables

void	inactive_discrete_int_variable_labels (StringMultiArrayConstView i_d_v_labels)
	set the inactive discrete variable labels in currentVariables

StringMultiArrayConstView	inactive_discrete_string_variable_labels () const
	return the inactive discrete variable labels in currentVariables

void	inactive_discrete_string_variable_labels (StringMultiArrayConstView i_d_v_labels)
	set the inactive discrete variable labels in currentVariables

StringMultiArrayConstView	inactive_discrete_real_variable_labels () const
	return the inactive discrete variable labels in currentVariables

void	inactive_discrete_real_variable_labels (StringMultiArrayConstView i_d_v_labels)
	set the inactive discrete variable labels in currentVariables

StringArray	inactive_ordered_labels () const
	Return labels of all inactive variables in "input spec" order.

StringMultiArrayConstView	all_continuous_variable_labels () const
	return all continuous variable labels in currentVariables

void	all_continuous_variable_labels (StringMultiArrayConstView a_c_v_labels)
	set all continuous variable labels in currentVariables

void	all_continuous_variable_label (const String &a_c_v_label, size_t i)
	set a label within the all continuous labels in currentVariables

StringMultiArrayConstView	all_discrete_int_variable_labels () const
	return all discrete variable labels in currentVariables

void	all_discrete_int_variable_labels (StringMultiArrayConstView a_d_v_labels)
	set all discrete variable labels in currentVariables

void	all_discrete_int_variable_label (const String &a_d_v_label, size_t i)
	set a label within the all discrete labels in currentVariables

StringMultiArrayConstView	all_discrete_string_variable_labels () const
	return all discrete variable labels in currentVariables

void	all_discrete_string_variable_labels (StringMultiArrayConstView a_d_v_labels)
	set all discrete variable labels in currentVariables

void	all_discrete_string_variable_label (const String &a_d_v_label, size_t i)
	set a label within the all discrete labels in currentVariables

StringMultiArrayConstView	all_discrete_real_variable_labels () const
	return all discrete variable labels in currentVariables

void	all_discrete_real_variable_labels (StringMultiArrayConstView a_d_v_labels)
	set all discrete variable labels in currentVariables

void	all_discrete_real_variable_label (const String &a_d_v_label, size_t i)
	set a label within the all discrete labels in currentVariables

StringArray	all_ordered_labels () const
	Return labels of all variables in "input spec" order.

const StringArray &	response_labels () const
	return the response labels from currentResponse

void	response_labels (const StringArray &resp_labels)
	set the response labels in currentResponse

const RealVector &	continuous_lower_bounds () const
	return the active continuous lower bounds from userDefinedConstraints

Real	continuous_lower_bound (size_t i) const
	return an active continuous lower bound from userDefinedConstraints

void	continuous_lower_bounds (const RealVector &c_l_bnds)
	set the active continuous lower bounds in userDefinedConstraints

void	continuous_lower_bound (Real c_l_bnd, size_t i)
	set the i-th active continuous lower bound in userDefinedConstraints

const RealVector &	continuous_upper_bounds () const
	return the active continuous upper bounds from userDefinedConstraints

Real	continuous_upper_bound (size_t i) const
	return an active continuous upper bound from userDefinedConstraints

void	continuous_upper_bounds (const RealVector &c_u_bnds)
	set the active continuous upper bounds in userDefinedConstraints

void	continuous_upper_bound (Real c_u_bnd, size_t i)
	set the i-th active continuous upper bound from userDefinedConstraints

const IntVector &	discrete_int_lower_bounds () const
	return the active discrete int lower bounds from userDefinedConstraints

int	discrete_int_lower_bound (size_t i) const
	return an active discrete int lower bound from userDefinedConstraints

void	discrete_int_lower_bounds (const IntVector &d_l_bnds)
	set the active discrete int lower bounds in userDefinedConstraints

void	discrete_int_lower_bound (int d_l_bnd, size_t i)
	set the i-th active discrete int lower bound in userDefinedConstraints

const IntVector &	discrete_int_upper_bounds () const
	return the active discrete int upper bounds from userDefinedConstraints

int	discrete_int_upper_bound (size_t i) const
	return an active discrete int upper bound from userDefinedConstraints

void	discrete_int_upper_bounds (const IntVector &d_u_bnds)
	set the active discrete int upper bounds in userDefinedConstraints

void	discrete_int_upper_bound (int d_u_bnd, size_t i)
	set the i-th active discrete int upper bound in userDefinedConstraints

const RealVector &	discrete_real_lower_bounds () const
	return the active discrete real lower bounds from userDefinedConstraints

Real	discrete_real_lower_bound (size_t i) const
	return an active discrete real lower bound from userDefinedConstraints

void	discrete_real_lower_bounds (const RealVector &d_l_bnds)
	set the active discrete real lower bounds in userDefinedConstraints

void	discrete_real_lower_bound (Real d_l_bnd, size_t i)
	set the i-th active discrete real lower bound in userDefinedConstraints

const RealVector &	discrete_real_upper_bounds () const
	return the active discrete real upper bounds from userDefinedConstraints

Real	discrete_real_upper_bound (size_t i) const
	return an active discrete real upper bound from userDefinedConstraints

void	discrete_real_upper_bounds (const RealVector &d_u_bnds)
	set the active discrete real upper bounds in userDefinedConstraints

void	discrete_real_upper_bound (Real d_u_bnd, size_t i)
	set the i-th active discrete real upper bound in userDefinedConstraints

const RealVector &	inactive_continuous_lower_bounds () const
	return the inactive continuous lower bounds in userDefinedConstraints

void	inactive_continuous_lower_bounds (const RealVector &i_c_l_bnds)
	set the inactive continuous lower bounds in userDefinedConstraints

const RealVector &	inactive_continuous_upper_bounds () const
	return the inactive continuous upper bounds in userDefinedConstraints

void	inactive_continuous_upper_bounds (const RealVector &i_c_u_bnds)
	set the inactive continuous upper bounds in userDefinedConstraints

const IntVector &	inactive_discrete_int_lower_bounds () const
	return the inactive discrete lower bounds in userDefinedConstraints

void	inactive_discrete_int_lower_bounds (const IntVector &i_d_l_bnds)
	set the inactive discrete lower bounds in userDefinedConstraints

const IntVector &	inactive_discrete_int_upper_bounds () const
	return the inactive discrete upper bounds in userDefinedConstraints

void	inactive_discrete_int_upper_bounds (const IntVector &i_d_u_bnds)
	set the inactive discrete upper bounds in userDefinedConstraints

const RealVector &	inactive_discrete_real_lower_bounds () const
	return the inactive discrete lower bounds in userDefinedConstraints

void	inactive_discrete_real_lower_bounds (const RealVector &i_d_l_bnds)
	set the inactive discrete lower bounds in userDefinedConstraints

const RealVector &	inactive_discrete_real_upper_bounds () const
	return the inactive discrete upper bounds in userDefinedConstraints

void	inactive_discrete_real_upper_bounds (const RealVector &i_d_u_bnds)
	set the inactive discrete upper bounds in userDefinedConstraints

const RealVector &	all_continuous_lower_bounds () const
	return all continuous lower bounds in userDefinedConstraints

void	all_continuous_lower_bounds (const RealVector &a_c_l_bnds)
	set all continuous lower bounds in userDefinedConstraints

void	all_continuous_lower_bound (Real a_c_l_bnd, size_t i)
	set a lower bound within continuous lower bounds in userDefinedConstraints

const RealVector &	all_continuous_upper_bounds () const
	return all continuous upper bounds in userDefinedConstraints

void	all_continuous_upper_bounds (const RealVector &a_c_u_bnds)
	set all continuous upper bounds in userDefinedConstraints

void	all_continuous_upper_bound (Real a_c_u_bnd, size_t i)
	set an upper bound within all continuous upper bounds in userDefinedConstraints

const IntVector &	all_discrete_int_lower_bounds () const
	return all discrete lower bounds in userDefinedConstraints

void	all_discrete_int_lower_bounds (const IntVector &a_d_l_bnds)
	set all discrete lower bounds in userDefinedConstraints

void	all_discrete_int_lower_bound (int a_d_l_bnd, size_t i)
	set a lower bound within all discrete lower bounds in userDefinedConstraints

const IntVector &	all_discrete_int_upper_bounds () const
	return all discrete upper bounds in userDefinedConstraints

void	all_discrete_int_upper_bounds (const IntVector &a_d_u_bnds)
	set all discrete upper bounds in userDefinedConstraints

void	all_discrete_int_upper_bound (int a_d_u_bnd, size_t i)
	set an upper bound within all discrete upper bounds in userDefinedConstraints

const RealVector &	all_discrete_real_lower_bounds () const
	return all discrete lower bounds in userDefinedConstraints

void	all_discrete_real_lower_bounds (const RealVector &a_d_l_bnds)
	set all discrete lower bounds in userDefinedConstraints

void	all_discrete_real_lower_bound (Real a_d_l_bnd, size_t i)
	set a lower bound within all discrete lower bounds in userDefinedConstraints

const RealVector &	all_discrete_real_upper_bounds () const
	return all discrete upper bounds in userDefinedConstraints

void	all_discrete_real_upper_bounds (const RealVector &a_d_u_bnds)
	set all discrete upper bounds in userDefinedConstraints

void	all_discrete_real_upper_bound (Real a_d_u_bnd, size_t i)
	set an upper bound within all discrete upper bounds in userDefinedConstraints

size_t	num_linear_ineq_constraints () const
	reshape the linear/nonlinear constraint arrays More...

size_t	num_linear_eq_constraints () const
	return the number of linear equality constraints

const RealMatrix &	linear_ineq_constraint_coeffs () const
	return the linear inequality constraint coefficients

void	linear_ineq_constraint_coeffs (const RealMatrix &lin_ineq_coeffs)
	set the linear inequality constraint coefficients

const RealVector &	linear_ineq_constraint_lower_bounds () const
	return the linear inequality constraint lower bounds

void	linear_ineq_constraint_lower_bounds (const RealVector &lin_ineq_l_bnds)
	set the linear inequality constraint lower bounds

const RealVector &	linear_ineq_constraint_upper_bounds () const
	return the linear inequality constraint upper bounds

void	linear_ineq_constraint_upper_bounds (const RealVector &lin_ineq_u_bnds)
	set the linear inequality constraint upper bounds

const RealMatrix &	linear_eq_constraint_coeffs () const
	return the linear equality constraint coefficients

void	linear_eq_constraint_coeffs (const RealMatrix &lin_eq_coeffs)
	set the linear equality constraint coefficients

const RealVector &	linear_eq_constraint_targets () const
	return the linear equality constraint targets

void	linear_eq_constraint_targets (const RealVector &lin_eq_targets)
	set the linear equality constraint targets

size_t	num_nonlinear_ineq_constraints () const
	return the number of nonlinear inequality constraints

size_t	num_nonlinear_eq_constraints () const
	return the number of nonlinear equality constraints

const RealVector &	nonlinear_ineq_constraint_lower_bounds () const
	return the nonlinear inequality constraint lower bounds

void	nonlinear_ineq_constraint_lower_bounds (const RealVector &nln_ineq_l_bnds)
	set the nonlinear inequality constraint lower bounds

const RealVector &	nonlinear_ineq_constraint_upper_bounds () const
	return the nonlinear inequality constraint upper bounds

void	nonlinear_ineq_constraint_upper_bounds (const RealVector &nln_ineq_u_bnds)
	set the nonlinear inequality constraint upper bounds

const RealVector &	nonlinear_eq_constraint_targets () const
	return the nonlinear equality constraint targets

void	nonlinear_eq_constraint_targets (const RealVector &nln_eq_targets)
	set the nonlinear equality constraint targets

const Variables &	current_variables () const
	return the current variables (currentVariables) as const reference (preferred)

Variables &	current_variables ()
	return the current variables (currentVariables) in mutable form (special cases)

const Constraints &	user_defined_constraints () const
	return the user-defined constraints (userDefinedConstraints) as const reference (preferred)

Constraints &	user_defined_constraints ()
	return the user-defined constraints (userDefinedConstraints) in mutable form (special cases)

const Response &	current_response () const
	return the current response (currentResponse)

ProblemDescDB &	problem_description_db () const
	return the problem description database (probDescDB)

ParallelLibrary &	parallel_library () const
	return the parallel library (parallelLib)

const String &	model_type () const
	return the model type (modelType)

const String &	surrogate_type () const
	return the surrogate type (surrogateType)

const String &	model_id () const
	return the model identifier (modelId)

size_t	num_primary_fns () const
	return number of primary functions (total less nonlinear constraints)

size_t	num_secondary_fns () const
	return number of secondary functions (number of nonlinear constraints)

const String &	gradient_type () const
	return the gradient evaluation type (gradientType)

const String &	method_source () const
	return the numerical gradient evaluation method source (methodSource)

const String &	interval_type () const
	return the numerical gradient evaluation interval type (intervalType)

bool	ignore_bounds () const
	option for ignoring bounds when numerically estimating derivatives

bool	central_hess () const
	option for using old 2nd-order scheme when computing finite-diff Hessian

const RealVector &	fd_gradient_step_size () const
	return the finite difference gradient step size (fdGradStepSize)

const String &	fd_gradient_step_type () const
	return the finite difference gradient step type (fdGradStepType)

const IntSet &	gradient_id_analytic () const
	return the mixed gradient analytic IDs (gradIdAnalytic)

const IntSet &	gradient_id_numerical () const
	return the mixed gradient numerical IDs (gradIdNumerical)

const String &	hessian_type () const
	return the Hessian evaluation type (hessianType)

const String &	quasi_hessian_type () const
	return the Hessian evaluation type (quasiHessType)

const RealVector &	fd_hessian_by_grad_step_size () const
	return gradient-based finite difference Hessian step size (fdHessByGradStepSize)

const RealVector &	fd_hessian_by_fn_step_size () const
	return function-based finite difference Hessian step size (fdHessByFnStepSize)

const String &	fd_hessian_step_type () const
	return the finite difference Hessian step type (fdHessStepType)

const IntSet &	hessian_id_analytic () const
	return the mixed Hessian analytic IDs (hessIdAnalytic)

const IntSet &	hessian_id_numerical () const
	return the mixed Hessian analytic IDs (hessIdNumerical)

const IntSet &	hessian_id_quasi () const
	return the mixed Hessian analytic IDs (hessIdQuasi)

void	primary_response_fn_sense (const BoolDeque &sense)
	set the optimization sense for multiple objective functions

const BoolDeque &	primary_response_fn_sense () const
	get the optimization sense for multiple objective functions

const RealVector &	primary_response_fn_weights () const
	get the relative weightings for multiple objective functions or least squares terms

const ScalingOptions &	scaling_options () const
	user-provided scaling options

short	primary_fn_type () const
	get the primary response function type (generic, objective, calibration)

void	primary_fn_type (short type)
	set the primary response function type, e.g., when recasting

bool	derivative_estimation ()
	indicates potential usage of estimate_derivatives() based on gradientType/hessianType

void	supports_derivative_estimation (bool sed_flag)
	set whether this model should perform or pass on derivative estimation

void	init_comms_bcast_flag (bool icb_flag)
	set initCommsBcastFlag

int	evaluation_capacity () const
	return the evaluation capacity for use in iterator logic

int	derivative_concurrency () const
	return the gradient concurrency for use in parallel configuration logic More...

bool	asynch_flag () const
	return the asynchronous evaluation flag (asynchEvalFlag)

void	asynch_flag (const bool flag)
	set the asynchronous evaluation flag (asynchEvalFlag)

short	output_level () const
	return the outputLevel

void	output_level (const short level)
	set the outputLevel

const IntArray &	message_lengths () const
	return the array of MPI packed message buffer lengths (messageLengths)

void	parallel_configuration_iterator (ParConfigLIter pc_iter)
	set modelPCIter

ParConfigLIter	parallel_configuration_iterator () const
	return modelPCIter

void	auto_graphics (const bool flag)
	set modelAutoGraphicsFlag to activate posting of graphics data within evaluate/synchronize functions (automatic graphics posting in the model as opposed to graphics posting at the strategy level).

bool	auto_graphics () const
	get modelAutoGraphicsFlag to activate posting of graphics data within evaluate/synchronize functions (automatic graphics posting in the model as opposed to graphics posting at the strategy level).

bool	is_null () const
	function to check modelRep (does this envelope contain a letter)

std::shared_ptr< Model >	model_rep () const
	returns modelRep for access to derived class member functions that are not mapped to the top Model level

Protected Types
typedef std::map< int, IntResponseMap >	IntIntResponseMapMap

Protected Member Functions
void	assign_instance ()
	assign static pointer instance to this for use in static transformation functions

void	init_metadata () override
	default clear metadata in Recasts; derived classes can override to no-op

void	update_from_subordinate_model (size_t depth=SZ_MAX)
	propagate vars/labels/bounds/targets from the bottom up More...

void	update_cv_skip_hyperparams (const Model &model)
	update all continuous variables from sub-model, skipping hyper-parameters

void	expand_linear_constraints (const Model &model)
	expand linear constraints from sub-model to account for hyper-parameters

void	update_expanded_response (const Model &model)
	update currentResponse based on replicate experiment data More...

void	transform_inactive_variables (const Variables &config_vars, Variables &sub_model_vars)
	insert inactive configuration variables into subModel variables

void	gen_primary_resp_map (const SharedResponseData &srd, Sizet2DArray &primary_resp_map_indices, BoolDequeArray &nonlinear_resp_map) const
	compute the primary response map for a data transform RecastModel

void	derived_evaluate (const ActiveSet &set)
	specialization of evaluate that iterates over configuration variables More...

void	derived_evaluate_nowait (const ActiveSet &set)
	specialization of evaluate that iterates over configuration variables More...

const IntResponseMap &	derived_synchronize ()
	synchronize all evaluations (all residuals for all experiment configurations) More...

const IntResponseMap &	derived_synchronize_nowait ()
	return any evaluations for which all experiment configurations have completed More...

const IntResponseMap &	filter_submodel_responses ()

void	cache_submodel_responses (const IntResponseMap &sm_resp_map, bool deep_copy)
	cache the subModel responses into a per-RecastModel eval ID map

void	collect_residuals (bool collect_all)
	collect any (or force all) completed subModel evals and populate recastResponseMap with residuals for those that are fully completed

void	transform_response_map (const IntResponseMap &submodel_resp, const Variables &recast_vars, Response &residual_resp)
	transform a set of per-configuration subModel Responses to a single evaluation's residuals More...

void	scale_response (const Variables &submodel_vars, const Variables &recast_vars, Response &recast_response)
	scale the populated residual response by any covariance information, including hyper-parameter multipliers

void	init_continuous_vars ()
	Initialize continuous variable values/labels. More...

template<typename T >
void	expand_primary_array (size_t submodel_size, const T &submodel_array, size_t recast_size, T &recast_array) const
	(if non-empty) expand submodel_array by replicates to populate a recast_array More...

void	print_residual_response (const Response &resid_resp)

void	recover_submodel_responses (std::ostream &s, const Variables &best_submodel_vars, size_t num_best, size_t best_ind, Response &residual_resp)

void	archive_submodel_responses (const ResultsManager &results_db, const StrStrSizet &iterator_id, const Variables &best_submodel_vars, size_t num_best, size_t best_ind, Response &residual_resp)
	archive original model responses

void	archive_best_original (const ResultsManager &results_db, const StrStrSizet &iterator_id, const RealVector &function_values, const int &exp_index, const int &num_best, const int &best_index)
	Archive the best model reponses (undifferenced with experimental data) for experiment exp_index and final solution soln_index.

void	archive_best_config_variables (const ResultsManager &results_db, const StrStrSizet &iterator_id, const Variables &vars, const int &exp_index, const int &num_best, const int &best_index)
	Archive the best configuration variables associated with each model response. More...

void	archive_best_residuals (const ResultsManager &results_db, const StrStrSizet &iterator_id, const int num_fns, const RealVector &best_terms, const Real wssr, const int num_points, const int point_index)
	Archive the best residuals.

Protected Member Functions inherited from RecastModel
Pecos::ProbabilityTransformation &	probability_transformation ()
	return probability transformation employed by the Model (forwarded along to ProbabilityTransformModel recasting)

bool	initialize_mapping (ParLevLIter pl_iter)
	Perform any global updates prior to individual evaluate() calls; returns true if the variables size has changed.

bool	finalize_mapping ()
	restore state in preparation for next initialization; returns true if the variables size has changed

void	nested_variable_mappings (const SizetArray &c_index1, const SizetArray &di_index1, const SizetArray &ds_index1, const SizetArray &dr_index1, const ShortArray &c_target2, const ShortArray &di_target2, const ShortArray &ds_target2, const ShortArray &dr_target2)
	set primaryA{C,DI,DS,DR}VarMapIndices, secondaryA{C,DI,DS,DR}VarMapTargets (coming from a higher-level NestedModel context to inform derivative est.)

const SizetArray &	nested_acv1_indices () const
	return primaryACVarMapIndices

const ShortArray &	nested_acv2_targets () const
	return secondaryACVarMapTargets

short	query_distribution_parameter_derivatives () const
	calculate and return derivative composition of final results w.r.t. distribution parameters (none, all, or mixed)

void	activate_distribution_parameter_derivatives ()
	activate derivative setting w.r.t. distribution parameters

void	deactivate_distribution_parameter_derivatives ()
	deactivate derivative setting w.r.t. distribution parameters

void	trans_grad_X_to_U (const RealVector &fn_grad_x, RealVector &fn_grad_u, const RealVector &x_vars)
	transform x-space gradient vector to u-space

void	trans_grad_U_to_X (const RealVector &fn_grad_u, RealVector &fn_grad_x, const RealVector &x_vars)
	transform u-space gradient vector to x-space

void	trans_grad_X_to_S (const RealVector &fn_grad_x, RealVector &fn_grad_s, const RealVector &x_vars)
	transform x-space gradient vector to gradient with respect to inserted distribution parameters

void	trans_hess_X_to_U (const RealSymMatrix &fn_hess_x, RealSymMatrix &fn_hess_u, const RealVector &x_vars, const RealVector &fn_grad_x)
	transform x-space Hessian matrix to u-space

size_t	qoi () const
	return number of unique response functions (managing any aggregations)

void	derived_evaluate (const ActiveSet &set)
	portion of evaluate() specific to RecastModel (forward to subModel.evaluate()) More...

void	derived_evaluate_nowait (const ActiveSet &set)
	portion of evaluate_nowait() specific to RecastModel (forward to subModel.evaluate_nowait())

const IntResponseMap &	derived_synchronize ()
	portion of synchronize() specific to RecastModel (forward to subModel.synchronize())

const IntResponseMap &	derived_synchronize_nowait ()
	portion of synchronize_nowait() specific to RecastModel (forward to subModel.synchronize_nowait())

Iterator &	subordinate_iterator ()
	return sub-iterator, if present, within subModel

Model &	subordinate_model ()
	return subModel

void	active_model_key (const Pecos::ActiveKey &key)
	set key in subModel

const Pecos::ActiveKey &	active_model_key () const
	return key from subModel

void	clear_model_keys ()
	remove keys in subModel

Model &	surrogate_model (size_t i=_NPOS)
	return the i-th surrogate model within subModel

const Model &	surrogate_model (size_t i=_NPOS) const
	return the i-th surrogate model within subModel

Model &	active_surrogate_model (size_t i=_NPOS)
	return the i-th active surrogate model within subModel

const Model &	active_surrogate_model (size_t i=_NPOS) const
	return the i-th active surrogate model within subModel

Model &	truth_model ()
	return the truth model within subModel

const Model &	truth_model () const
	return the truth model within subModel

Model &	active_truth_model ()
	return the active truth model within subModel

const Model &	active_truth_model () const
	return the active truth model within subModel

void	derived_subordinate_models (ModelList &ml, bool recurse_flag)
	add subModel to list and recurse into subModel

void	resize_from_subordinate_model (size_t depth=SZ_MAX)
	pass request to subModel if recursing and then resize from its results

void	update_from_subordinate_model (size_t depth=SZ_MAX)
	pass request to subModel if recursing and then update from its results

Interface &	derived_interface ()
	return subModel interface

size_t	solution_levels () const
	return size of subModel::solnControlCostMap

void	solution_level_cost_index (size_t cost_index)
	activate entry in subModel::solnControlCostMap

size_t	solution_level_cost_index () const
	return active entry in subModel::solnControlCostMap

RealVector	solution_level_costs () const
	return cost estimates from subModel::solnControlCostMap

Real	solution_level_cost () const
	return active cost estimate from subModel::solnControlCostMap

void	primary_response_fn_weights (const RealVector &wts, bool recurse_flag=true)
	set the relative weightings for multiple objective functions or least squares terms and optionally recurses into subModel

void	surrogate_function_indices (const SizetSet &surr_fn_indices)
	update the subModel's surrogate response function indices (DataFitSurrModel::surrogateFnIndices)

void	surrogate_response_mode (short mode)
	update the subModel's surrogate response mode (SurrogateModel::responseMode)

void	discrepancy_emulation_mode (short mode)
	update the subModel's discrepancy emulation mode

short	correction_type () const
	retrieve subModel's correction type

void	correction_type (short corr_type)
	update subModel's correction type

short	correction_order () const
	retrieve subModel's correction order

const RealVector &	error_estimates ()
	retrieve error estimates corresponding to the subModel

void	build_approximation ()
	builds the subModel approximation

bool	build_approximation (const Variables &vars, const IntResponsePair &response_pr)
	builds the subModel approximation

void	rebuild_approximation ()
	updates a subModel approximation

void	update_approximation (bool rebuild_flag)
	replaces data in the subModel approximation

void	update_approximation (const Variables &vars, const IntResponsePair &response_pr, bool rebuild_flag)
	replaces data in the subModel approximation

void	update_approximation (const VariablesArray &vars_array, const IntResponseMap &resp_map, bool rebuild_flag)
	replaces data in the subModel approximation

void	append_approximation (bool rebuild_flag)
	appends data to the subModel approximation

void	append_approximation (const Variables &vars, const IntResponsePair &response_pr, bool rebuild_flag)
	appends data to the subModel approximation

void	append_approximation (const VariablesArray &vars_array, const IntResponseMap &resp_map, bool rebuild_flag)
	appends data to the subModel approximation

void	pop_approximation (bool save_surr_data, bool rebuild_flag=false)
	remove the previous data set addition to a surrogate (e.g., due to a previous append_approximation() call); flag manages storing of surrogate data for use in a subsequent push_approximation()

void	push_approximation ()
	push a previous approximation data state; reverse of pop_approximation

bool	push_available ()
	query for whether a trial increment is restorable within a surrogate

void	finalize_approximation ()
	finalize an approximation by applying all previous trial increments

void	combine_approximation ()
	combine the current approximation with previously stored data sets

void	combined_to_active (bool clear_combined=true)
	promote the combined approximation into the active approximation

void	clear_inactive ()
	clear inactive approximations (finalization + combination completed)

std::vector< Approximation > &	approximations ()
	retrieve the set of Approximations from the subModel

const RealVectorArray &	approximation_coefficients (bool normalized=false)
	retrieve the approximation coefficients from the subModel

void	approximation_coefficients (const RealVectorArray &approx_coeffs, bool normalized=false)
	set the approximation coefficients within the subModel

const RealVector &	approximation_variances (const Variables &vars)
	retrieve the approximation variances from the subModel

const Pecos::SurrogateData &	approximation_data (size_t fn_index)
	retrieve the approximation data from the subModel

void	component_parallel_mode (short mode)
	RecastModel only supports parallelism in subModel, so this virtual function redefinition is simply a sanity check.

size_t	mi_parallel_level_index () const
	return subModel's MI parallel level index

short	local_eval_synchronization ()
	return subModel local synchronization setting

int	local_eval_concurrency ()
	return subModel local evaluation concurrency

bool	derived_master_overload () const
	flag which prevents overloading the master with a multiprocessor evaluation (request forwarded to subModel)

IntIntPair	estimate_partition_bounds (int max_eval_concurrency)
	estimate the minimum and maximum partition sizes that can be utilized by this Model

void	derived_init_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	set up RecastModel for parallel operations (request forwarded to subModel)

void	derived_init_serial ()
	set up RecastModel for serial operations (request forwarded to subModel).

void	derived_set_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	set active parallel configuration within subModel

void	derived_free_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	deallocate communicator partitions for the RecastModel (request forwarded to subModel)

void	serve_run (ParLevLIter pl_iter, int max_eval_concurrency)
	Service subModel job requests received from the master. Completes when a termination message is received from stop_servers().

void	stop_servers ()
	executed by the master to terminate subModel server operations when RecastModel iteration is complete.

void	active_view (short view, bool recurse_flag=true)
	update the Model's active view based on higher level context and optionally recurse into subModel

void	inactive_view (short view, bool recurse_flag=true)
	update the Model's inactive view based on higher level context and optionally recurse into subModel

const String &	interface_id () const
	return the subModel interface identifier

bool	evaluation_cache (bool recurse_flag=true) const
	if recurse_flag, return the subModel evaluation cache usage

bool	restart_file (bool recurse_flag=true) const
	if recurse_flag, return the subModel restart file usage

int	derived_evaluation_id () const
	return the current evaluation id for the RecastModel

void	set_evaluation_reference ()
	set the evaluation counter reference points for the RecastModel (request forwarded to subModel)

void	fine_grained_evaluation_counters ()
	request fine-grained evaluation reporting within subModel

void	print_evaluation_summary (std::ostream &s, bool minimal_header=false, bool relative_count=true) const
	print the evaluation summary for the RecastModel (request forwarded to subModel)

void	warm_start_flag (const bool flag)
	set the warm start flag, including the orderedModels

void	eval_tag_prefix (const String &eval_id_str)
	set the hierarchical eval ID tag prefix More...

bool	db_lookup (const Variables &search_vars, const ActiveSet &search_set, Response &found_resp)
	RecastModel may need to map variables, asv before DB lookup, or responses after lookup.

void	init_basic ()

void	init_variables (const ShortShortPair &recast_vars_view, const SizetArray &vars_comps_totals, const BitArray &all_relax_di, const BitArray &all_relax_dr, bool &consistent_vars)
	initialize currentVariables and related info from the passed size/type info

void	init_constraints (bool consistent_vars, size_t num_recast_nln_ineq, size_t num_recast_nln_eq)
	initialize userDefinedConstraints, sharing SVD with currentVariables

void	init_distribution (bool consistent_vars)
	initialize mvDist from SharedVariablesData

void	init_response (size_t num_recast_primary_fns, size_t num_recast_secondary_fns, short recast_resp_order)
	initialize currentResponse from the passed size info

void	reshape_response (size_t num_recast_primary_fns, size_t num_recast_secondary_fns)
	Reshape the RecastModel Response, assuming no change in variables or derivative information.

void	initialize_data_from_submodel ()
	code shared among constructors to initialize base class data from submodel

void	update_from_model (Model &model)
	update current variables/bounds/labels/constraints from subModel More...

virtual bool	update_variables_from_model (Model &model)
	update active variables/bounds/labels from subModel

void	update_all_variables (const Model &model)
	update all variable values from passed sub-model

void	update_all_discrete_variables (const Model &model)
	update discrete variable values from passed sub-model

void	update_variables_active_complement_from_model (const Model &model)
	update complement of active variables/bounds/labels from subModel

void	update_continuous_variables_active_complement_from_model (const Model &model)
	update complement of active continuous variables/bounds/labels from subModel

void	update_discrete_int_variables_active_complement_from_model (const Model &model)
	update complement of active discrete int variables/bounds/labels from subModel

void	update_discrete_string_variables_active_complement_from_model (const Model &model)
	update complement of active discrete string variables/bounds/labels from subModel

void	update_discrete_real_variables_active_complement_from_model (const Model &model)
	update complement of active discrete real variables/bounds/labels from subModel

void	update_linear_constraints (const Model &model)
	update linear constraints from passed sub-model

void	update_response_from_model (const Model &model)
	update labels and nonlinear constraint bounds/targets from subModel

void	update_primary_response (const Model &model)
	update only the primary response data from subModel

void	update_secondary_response (const Model &model)
	update only the secondary response data from subModel

void	recast_vector (const RealVector &submodel_vec, RealVector &vec) const

Protected Member Functions inherited from Model
	Model (BaseConstructor, ProblemDescDB &problem_db)
	constructor initializing the base class part of letter classes (BaseConstructor overloading avoids infinite recursion in the derived class constructors - Coplien, p. 139) More...

	Model (LightWtBaseConstructor, const ShortShortPair &vars_view, const SharedVariablesData &svd, bool share_svd, const SharedResponseData &srd, bool share_srd, const ActiveSet &set, short output_level, ProblemDescDB &problem_db=dummy_db, ParallelLibrary &parallel_lib=dummy_lib)
	constructor initializing base class for derived model class instances constructed on the fly

	Model (LightWtBaseConstructor, ProblemDescDB &problem_db=dummy_db, ParallelLibrary &parallel_lib=dummy_lib)
	constructor initializing base class for recast model instances More...

void	update_model_active_variables (Model &model)
	update incoming (sub-)model with active values from currentVariables

IntResponseMap &	response_map ()
	return responseMap

void	initialize_distribution (Pecos::MultivariateDistribution &mv_dist, bool active_only=false)
	initialize distribution types from problemDescDB More...

void	initialize_active_types (Pecos::MultivariateDistribution &mv_dist)
	initialize distribution types from problemDescDB More...

void	initialize_distribution_parameters (Pecos::MultivariateDistribution &mv_dist, bool active_only=false)
	initialize distribution parameters from problemDescDB

void	set_ie_asynchronous_mode (int max_eval_concurrency)
	default logic for defining asynchEvalFlag and evaluationCapacity based on ie_pl settings

void	assign_max_strings (const Pecos::MultivariateDistribution &mv_dist, Variables &vars)
	assign all of the longest possible string values into vars

SSCIter	max_string (const StringSet &ss)
	return iterator for longest string value found in string set

SRMCIter	max_string (const StringRealMap &srm)
	return iterator for longest string value found in string map

SizetMultiArrayConstView	initialize_x0_bounds (const SizetArray &original_dvv, bool &active_derivs, bool &inactive_derivs, RealVector &x0, RealVector &fd_lb, RealVector &fd_ub) const
	Initialize data needed for computing finite differences (active/inactive, center point, and bounds)

Real	forward_grad_step (size_t num_deriv_vars, size_t xj_index, Real x0_j, Real lb_j, Real ub_j)
	Compute the forward step for a finite difference gradient; updates shortStep.

EvaluationsDBState	evaluations_db_state (const Interface &interface)
	Return the interface flag for the EvaluationsDB state.

EvaluationsDBState	evaluations_db_state (const Model &model)
	Return the model flag for the EvaluationsDB state.

void	asynch_eval_store (const Interface &interface, const int &id, const Response &response)
	Store the response portion of an interface evaluation. Called from rekey_response_map()

void	asynch_eval_store (const Model &model, const int &id, const Response &response)
	Exists to support storage of interface evaluations. No-op so that rekey_response_map<Model> can be generated.

template<typename MetaType >
void	rekey_response_map (MetaType &meta_object, IntIntMapArray &id_maps, IntResponseMapArray &resp_maps_rekey, bool deep_copy)
	rekey returned jobs matched in array of id_maps into array of resp_maps_rekey; unmatched jobs can be cached within the meta_object

template<typename MetaType >
void	rekey_response_map (MetaType &meta_object, IntIntMap &id_map, IntResponseMap &resp_map_rekey, bool deep_copy)
	rekey returned jobs matched in id_map into resp_map_rekey; unmatched jobs can be cached within the meta_object

template<typename MetaType >
void	rekey_synch (MetaType &meta_object, bool block, IntIntMapArray &id_maps, IntResponseMapArray &resp_maps_rekey, bool deep_copy=false)
	synchronize via meta_object and rekey returned jobs matched in array of id_maps into array of resp_maps_rekey; unmatched jobs are cached within the meta_object

template<typename MetaType >
void	rekey_synch (MetaType &meta_object, bool block, IntIntMap &id_map, IntResponseMap &resp_map_rekey, bool deep_copy=false)
	synchronize via meta_object and rekey returned jobs matched in id_map into resp_map_rekey; unmatched jobs are cached within the meta_object

Static Protected Member Functions
static SizetArray	variables_expand (const Model &sub_model, size_t num_hyper)
	expand the variable counts to account for hyper-parameters More...

static int	get_hyperparam_vc_index (const Model &sub_model)
	determine the index into vc_totals corresponding to where the hyper-parameters go

static short	response_order (const Model &sub_model, short recast_resp_order=1)
	helper to compute the recast response order during member initialization; recast_resp_order passed is the minimum request client needs

static void	vars_mapping (const Variables &recast_vars, Variables &submodel_vars)
	map the inbound expanded variables to the sub-model, discarding hyperparams (assumes hyper-parameters are at end of active continuous variables)

static void	set_mapping (const Variables &recast_vars, const ActiveSet &recast_set, ActiveSet &sub_model_set)
	map the inbound ActiveSet to the sub-model (map derivative variables) More...

static void	primary_resp_differencer (const Variables &submodel_vars, const Variables &recast_vars, const Response &submodel_response, Response &recast_response)
	Recast callback function to difference residuals with observed data.

Static Protected Member Functions inherited from RecastModel
static short	response_order (const Model &sub_model)
	helper to compute the recast response order during member initialization

static String	recast_model_id (const String &root_id, const String &type)
	Generate a model id for recast models.

Static Protected Member Functions inherited from Model
static String	user_auto_id ()
	return the next available model ID for no-ID user methods More...

static String	no_spec_id ()
	return the next available model ID for on-the-fly methods More...

Protected Attributes
const ExperimentData &	expData
	Reference to the experiment data used to construct this Model.

size_t	numHyperparams
	Number of calibrated variance multipliers.

unsigned short	obsErrorMultiplierMode
	Calibration mode for the hyper-parameters.

IntIntResponseMapMap	cachedResp

Protected Attributes inherited from RecastModel
Model	subModel
	the sub-model underlying the transformations

int	recastModelEvalCntr
	local evaluation id counter used for id mapping

IntActiveSetMap	recastSetMap
	map of recast active set passed to derived_evaluate_nowait(). Needed for currentResponse update in synchronization routines.

IntVariablesMap	recastVarsMap
	map of recast variables used by derived_evaluate_nowait(). Needed for primaryRespMapping() and secondaryRespMapping() in synchronization routines.

IntVariablesMap	subModelVarsMap
	map of subModel variables used by derived_evaluate_nowait(). Needed for primaryRespMapping() and secondaryRespMapping() in synchronization routines.

IntResponseMap	recastResponseMap
	map of recast responses used by RecastModel::derived_synchronize() and RecastModel::derived_synchronize_nowait()

IntIntMap	recastIdMap
	mapping from subModel evaluation ids to RecastModel evaluation ids

bool	nonlinearVarsMapping
	boolean set to true if the variables mapping involves a nonlinear transformation. Used in transform_set() to manage the requirement for gradients within the Hessian transformations. This does not require a BoolDeque for each individual variable, since response gradients and Hessians are managed per function, not per variable.

Protected Attributes inherited from Model
Variables	currentVariables
	the set of current variables used by the model for performing function evaluations

size_t	numDerivVars
	the number of active continuous variables used in computing most response derivatives (i.e., in places such as quasi-Hessians and response corrections where only the active continuous variables are supported)

Response	currentResponse
	the set of current responses that holds the results of model function evaluations

size_t	numFns
	the number of functions in currentResponse

Constraints	userDefinedConstraints
	Explicit constraints on variables are maintained in the Constraints class hierarchy. Currently, this includes linear constraints and bounds, but could be extended in the future to include other explicit constraints which (1) have their form specified by the user, and (2) are not catalogued in Response since their form and coefficients are published to an iterator at startup.

String	modelId
	model identifier string from the input file

String	modelType
	type of model: simulation, nested, or surrogate

String	surrogateType
	type of surrogate model: local_, multipoint_, global_*, or hierarchical

String	gradientType
	type of gradient data: analytic, numerical, mixed, or none

String	methodSource
	source of numerical gradient routine: dakota or vendor

String	intervalType
	type of numerical gradient interval: central or forward

String	hessianType
	type of Hessian data: analytic, numerical, quasi, mixed, or none

RealVector	fdGradStepSize
	relative finite difference step size for numerical gradients More...

String	fdGradStepType
	type of finite difference step to use for numerical gradient: relative - step length is relative to x absolute - step length is what is specified bounds - step length is relative to range of x

RealVector	fdHessByGradStepSize
	relative finite difference step size for numerical Hessians estimated using first-order differences of gradients More...

RealVector	fdHessByFnStepSize
	relative finite difference step size for numerical Hessians estimated using second-order differences of function values More...

String	fdHessStepType
	type of finite difference step to use for numerical Hessian: relative - step length is relative to x absolute - step length is what is specified bounds - step length is relative to range of x

bool	ignoreBounds
	option to ignore bounds when computing finite diffs

bool	centralHess
	option to use old 2nd-order finite diffs for Hessians

bool	warmStartFlag
	if in warm-start mode, don't reset accumulated data (e.g., quasiHessians)

bool	supportsEstimDerivs
	whether model should perform or forward derivative estimation

String	quasiHessType
	quasi-Hessian type: bfgs, damped_bfgs, sr1

IntSet	gradIdAnalytic
	analytic id's for mixed gradients

IntSet	gradIdNumerical
	numerical id's for mixed gradients

IntSet	hessIdAnalytic
	analytic id's for mixed Hessians

IntSet	hessIdNumerical
	numerical id's for mixed Hessians

IntSet	hessIdQuasi
	quasi id's for mixed Hessians

EvaluationsDBState	modelEvaluationsDBState
	Whether to write model evals to the evaluations DB.

EvaluationsDBState	interfEvaluationsDBState
	Whether to write interface evals to the evaluations DB.

IntArray	messageLengths
	length of packed MPI buffers containing vars, vars/set, response, and PRPair

bool	mappingInitialized
	track use of initialize_mapping() and finalize_mapping()

ProblemDescDB &	probDescDB
	class member reference to the problem description database More...

ParallelLibrary &	parallelLib
	class member reference to the parallel library

ParConfigLIter	modelPCIter
	the ParallelConfiguration node used by this Model instance

short	componentParallelMode
	the component parallelism mode: NO_PARALLEL_MODE, SURROGATE_MODEL_MODE,

bool	asynchEvalFlag
	flags asynch evaluations (local or distributed)

int	evaluationCapacity
	capacity for concurrent evaluations supported by the Model

short	outputLevel
	output verbosity level: {SILENT,QUIET,NORMAL,VERBOSE,DEBUG}_OUTPUT

Pecos::MultivariateDistribution	mvDist
	the multivariate random variable distribution (in probability space corresponding to currentVariables)

BoolDeque	primaryRespFnSense
	array of flags (one per primary function) for switching the sense to maximize the primary function (default is minimize)

RealVector	primaryRespFnWts
	primary response function weightings (either weights for multiobjective optimization or weighted least squares)

bool	hierarchicalTagging
	whether to perform hierarchical evalID tagging of params/results

ScalingOptions	scalingOpts
	user-provided scaling data from the problem DB, possibly modified by Recasting

String	evalTagPrefix
	cached evalTag Prefix from parents to use at evaluate time

EvaluationStore &	evaluationsDB
	reference to the global evaluation database

Static Protected Attributes
static DataTransformModel *	dtModelInstance
	static pointer to this class for use in static callbacks More...

Static Protected Attributes inherited from RecastModel
static StringStringPairIntMap	recastModelIdCounters
	Counters for naming RecastModels.

Additional Inherited Members
Static Public Member Functions inherited from Model
static void	active_variables (const RealVector &config_vars, Model &model)
	set the specified configuration to the Model's inactive vars, converting from real to integer or through index to string value as needed More...

static void	inactive_variables (const RealVector &config_vars, Model &model)
	set the specified configuration to the Model's inactive vars, converting from real to integer or through index to string value as needed More...

static void	inactive_variables (const RealVector &config_vars, Model &model, Variables &updated_vars)

static void	evaluate (const RealMatrix &samples_matrix, Model &model, RealMatrix &resp_matrix)
	Bulk synchronously evaluate the model for each column (of active variables) in the samples matrix and return as columns of the response matrix.

static void	evaluate (const VariablesArray &sample_vars, Model &model, RealMatrix &resp_matrix)
	Bulk synchronously evaluate the model for each entry (of active variables) in the samples vector and return as columns of the response matrix.

Detailed Description

Data transformation specialization of RecastModel.

Specialization of RecastModel to create a residual model that maps (1) from an augmented set of calibration parameters (including hyper-parameters) to those needed by the underlying simulation model and (2) from the simulation model response to a set of residuals, whose overall size may differ from the simulation (sub-model) response. The residuals may be scaled by experiment covariance information. This class provides a simple constructor that forwards to the more complicated RecastModel API

Constructor & Destructor Documentation

◆ DataTransformModel()

DataTransformModel	(	const Model &	sub_model,
		const ExperimentData &	exp_data,
		const ShortShortPair &	recast_vars_view,
		size_t	num_hyper = `0`,
		unsigned short	mult_mode = `CALIBRATE_NONE`,
		short	recast_resp_deriv_order = `1`
	)

standard constructor

This constructor computes various indices and mappings, then updates the properties of the RecastModel. Hyper-parameters are assumed to trail the active continuous variables when presented to this RecastModel.

Member Function Documentation

◆ update_from_subordinate_model()

void update_from_subordinate_model ( size_t depth = SZ_MAX )

protectedvirtual

propagate vars/labels/bounds/targets from the bottom up

used only for instantiate-on-the-fly model recursions (all RecastModel instantiations and alternate DataFitSurrModel instantiations). Simulation, Hierarchical, and Nested Models do not redefine the function since they do not support instantiate-on-the-fly. This means that the recursion will stop as soon as it encounters a Model that was instantiated normally, which is appropriate since ProblemDescDB-constructed Models use top-down information flow and do not require bottom-up updating.

Reimplemented from Model.

References DataTransformModel::expand_linear_constraints(), Model::multivariate_distribution(), Model::mvDist, DataTransformModel::numHyperparams, RecastModel::subModel, Dakota::SZ_MAX, RecastModel::update_all_discrete_variables(), DataTransformModel::update_cv_skip_hyperparams(), DataTransformModel::update_expanded_response(), Model::update_from_subordinate_model(), RecastModel::update_variables_active_complement_from_model(), and RecastModel::update_variables_from_model().

◆ update_expanded_response()

void update_expanded_response ( const Model & model )

protected

update currentResponse based on replicate experiment data

Expand response-related arrays, accounting for multiple experiments and/or interpolation.

References Model::currentResponse, DataTransformModel::expand_primary_array(), DataTransformModel::expData, ExperimentData::fill_primary_function_labels(), SharedResponseData::function_labels(), ExperimentData::interpolate_flag(), Model::num_primary_fns(), ExperimentData::num_total_exppoints(), Model::primary_response_fn_sense(), Model::primary_response_fn_weights(), Model::primaryRespFnSense, Model::primaryRespFnWts, ScalingOptions::priScales, ScalingOptions::priScaleTypes, Model::scaling_options(), Model::scalingOpts, Response::shared_data(), and RecastModel::update_secondary_response().

Referenced by DataTransformModel::DataTransformModel(), and DataTransformModel::update_from_subordinate_model().

◆ variables_expand()

SizetArray variables_expand	(	const Model &	sub_model,
		size_t	num_hyper
	)

staticprotected

expand the variable counts to account for hyper-parameters

Incorporate the hyper parameters into Variables, assuming they are at the end of the active continuous variables. For example, append them to continuous design or continuous aleatory uncertain.

References Model::current_variables(), DataTransformModel::get_hyperparam_vc_index(), Variables::shared_data(), and Dakota::svd().

◆ derived_evaluate()

void derived_evaluate ( const ActiveSet & set )

protectedvirtual

specialization of evaluate that iterates over configuration variables

Blocking evaluation over all experiment configurations to compute a single set of expanded residuals. If the subModel supports asynchronous evaluate_nowait(), do the configuration evals concurrently and then synchronize.

Reimplemented from Model.

References Response::active_set(), Model::asynch_flag(), Model::current_response(), Model::current_variables(), Model::currentResponse, Model::currentVariables, RecastModel::derived_evaluate(), Model::evaluate(), Model::evaluate_nowait(), Model::evaluation_id(), DataTransformModel::expData, DataTransformModel::filter_submodel_responses(), ExperimentData::form_residuals(), ExperimentData::num_config_vars(), ExperimentData::num_experiments(), Model::outputLevel, RecastModel::recastIdMap, RecastModel::recastModelEvalCntr, DataTransformModel::scale_response(), RecastModel::subModel, DataTransformModel::transform_inactive_variables(), DataTransformModel::transform_response_map(), RecastModel::transform_set(), and RecastModel::transform_variables().

◆ derived_evaluate_nowait()

void derived_evaluate_nowait ( const ActiveSet & set )

protectedvirtual

specialization of evaluate that iterates over configuration variables

Non-blocking evaluation (scheduling) over all experiment configurations. Assumes that if this model supports nowait, its subModel does too and schedules them all.

Reimplemented from Model.

References Variables::copy(), Model::current_variables(), Model::currentVariables, RecastModel::derived_evaluate_nowait(), Model::evaluate_nowait(), Model::evaluation_id(), DataTransformModel::expData, ExperimentData::num_config_vars(), ExperimentData::num_experiments(), Model::outputLevel, RecastModel::recastIdMap, RecastModel::recastModelEvalCntr, RecastModel::recastSetMap, RecastModel::recastVarsMap, RecastModel::subModel, DataTransformModel::transform_inactive_variables(), RecastModel::transform_set(), and RecastModel::transform_variables().

◆ derived_synchronize()

const IntResponseMap & derived_synchronize ( )

protectedvirtual

synchronize all evaluations (all residuals for all experiment configurations)

Collect all the subModel evals and build the residual sets for all evaluations. Like rekey functions in DakotaModel, but many sub-model to one recast-model. For the blocking synchronize case, we force the subModel to synch and have all needed data.

Reimplemented from Model.

References DataTransformModel::cache_submodel_responses(), DataTransformModel::collect_residuals(), RecastModel::derived_synchronize(), DataTransformModel::expData, ExperimentData::num_config_vars(), RecastModel::recastResponseMap, RecastModel::subModel, and Model::synchronize().

◆ derived_synchronize_nowait()

const IntResponseMap & derived_synchronize_nowait ( )

protectedvirtual

return any evaluations for which all experiment configurations have completed

Collect any completed subModel evals and build the residual sets for any fully completed evaluations. Like rekey functions in DakotaModel, but many sub-model to one recast-model. We do not force the subModel to synch.

Reimplemented from Model.

References DataTransformModel::cache_submodel_responses(), DataTransformModel::collect_residuals(), RecastModel::derived_synchronize_nowait(), DataTransformModel::expData, ExperimentData::num_config_vars(), RecastModel::recastResponseMap, RecastModel::subModel, and Model::synchronize_nowait().

◆ filter_submodel_responses()

const IntResponseMap & filter_submodel_responses ( )

protected

(We don't quite want the rekey behavior since multiple subModel evals map to one recast eval.)

References Model::cache_unmatched_response(), RecastModel::recastIdMap, RecastModel::subModel, and Model::synchronize().

Referenced by DataTransformModel::derived_evaluate().

◆ transform_response_map()

void transform_response_map	(	const IntResponseMap &	submodel_resp,
		const Variables &	recast_vars,
		Response &	residual_resp
	)

protected

transform a set of per-configuration subModel Responses to a single evaluation's residuals

This transformation assumes the residuals are in submodel eval_id order.

References Dakota::abort_handler(), Model::current_variables(), DataTransformModel::expData, ExperimentData::form_residuals(), ExperimentData::num_experiments(), DataTransformModel::scale_response(), and RecastModel::subModel.

Referenced by DataTransformModel::collect_residuals(), and DataTransformModel::derived_evaluate().

◆ set_mapping()

void set_mapping	(	const Variables &	recast_vars,
		const ActiveSet &	recast_set,
		ActiveSet &	sub_model_set
	)

staticprotected

map the inbound ActiveSet to the sub-model (map derivative variables)

RecastModel sets up a default set mapping before calling this update, so focus on updating the derivative variables vector

References Model::cv(), ActiveSet::derivative_vector(), DataTransformModel::dtModelInstance, DataTransformModel::numHyperparams, ActiveSet::request_vector(), and RecastModel::subordinate_model().

Referenced by DataTransformModel::DataTransformModel().

◆ init_continuous_vars()

void init_continuous_vars ( )

protected

Initialize continuous variable values/labels.

Pull up the continuous variable values and labels into the RecastModel, inserting the hyper-parameter values/labels

Referenced by DataTransformModel::DataTransformModel().

◆ expand_primary_array()

void expand_primary_array	(	size_t	submodel_size,
		const T &	submodel_array,
		size_t	recast_size,
		T &	recast_array
	)		const

protected

(if non-empty) expand submodel_array by replicates to populate a recast_array

If size greater than 1, expand submodel_array by replicates to populate a pre-sized recast_array, otherwise copy

Passing the inbound array size so we can use one function for Teuchos and std containers (size vs. length)

References DataTransformModel::expData, and ExperimentData::num_experiments().

Referenced by DataTransformModel::update_expanded_response().

◆ archive_best_config_variables()

void archive_best_config_variables	(	const ResultsManager &	results_db,
		const StrStrSizet &	iterator_id,
		const Variables &	vars,
		const int &	exp_index,
		const int &	num_best,
		const int &	best_index
	)

protected

Archive the best configuration variables associated with each model response.

Archive best configuration variables.

References ResultsManager::active(), Variables::inactive_continuous_variable_labels(), Variables::inactive_continuous_variables(), Variables::inactive_discrete_int_variable_labels(), Variables::inactive_discrete_int_variables(), Variables::inactive_discrete_real_variable_labels(), Variables::inactive_discrete_real_variables(), Variables::inactive_discrete_string_variable_labels(), Variables::inactive_discrete_string_variables(), and ResultsManager::insert().

Referenced by DataTransformModel::archive_submodel_responses().

Member Data Documentation

◆ dtModelInstance

DataTransformModel * dtModelInstance

staticprotected

static pointer to this class for use in static callbacks

initialization of static needed by RecastModel

Referenced by DataTransformModel::assign_instance(), DataTransformModel::primary_resp_differencer(), and DataTransformModel::set_mapping().

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

DataTransformModel.hpp
DataTransformModel.cpp

Public Member Functions

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Static Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ DataTransformModel()

Member Function Documentation

◆ update_from_subordinate_model()

◆ update_expanded_response()

◆ variables_expand()

◆ derived_evaluate()

◆ derived_evaluate_nowait()

◆ derived_synchronize()

◆ derived_synchronize_nowait()

◆ filter_submodel_responses()

◆ transform_response_map()

◆ set_mapping()

◆ init_continuous_vars()

◆ expand_primary_array()

◆ archive_best_config_variables()

Member Data Documentation

◆ dtModelInstance