QUESO::MLSamplingLevelOptions Class Reference

This class provides options for each level of the Multilevel sequence generator if no input file is available. More...

#include <MLSamplingLevelOptions.h>

Collaboration diagram for QUESO::MLSamplingLevelOptions:

Public Member Functions
Constructor/Destructor methods
	MLSamplingLevelOptions (const BaseEnvironment &env, const char *prefix)
	Constructor: reads options from the input file. More...
	~MLSamplingLevelOptions ()
	Destructor. More...
Misc method
const BaseEnvironment &	env () const
	Access to the environment. More...
I/O methods
void	scanOptionsValues (const MLSamplingLevelOptions *defaultOptions)
	It scans the option values from the options input file. More...
void	print (std::ostream &os) const
	It prints the option values. More...

Public Attributes
std::string	m_prefix
std::string	m_checkpointOutputFileName
	Name of checkpoint output file. More...
bool	m_stopAtEnd
	Stop at end of such level. More...
std::string	m_dataOutputFileName
	Name of generic output file. More...
bool	m_dataOutputAllowAll
	subEnvs that will write to generic output file. More...
std::set< unsigned int >	m_dataOutputAllowedSet
	subEnvs that will write to generic output file. More...
std::string	m_str1
	subEnvs that will write to generic output file. More...
unsigned int	m_loadBalanceAlgorithmId
	Perform load balancing with chosen algorithm (0 = no balancing). More...
double	m_loadBalanceTreshold
	Perform load balancing if load unbalancing ratio > threshold. More...
double	m_minEffectiveSizeRatio
	Minimum allowed effective size ratio wrt previous level. More...
double	m_maxEffectiveSizeRatio
	Maximum allowed effective size ratio wrt previous level. More...
bool	m_scaleCovMatrix
	Whether or not scale proposal covariance matrix. More...
double	m_minRejectionRate
	minimum allowed attempted rejection rate at current level More...
double	m_maxRejectionRate
	maximum allowed attempted rejection rate at current level. More...
double	m_covRejectionRate
	c.o.v. for judging attempted rejection rate at current level. More...
double	m_minAcceptableEta
	minimum acceptable eta, More...
bool	m_totallyMute
	Whether or not to be totally mute (no printout message). More...
std::string	m_initialPositionDataInputFileName
	Name of input file for initial position. More...
std::string	m_initialPositionDataInputFileType
	Type of input file for initial position. More...
std::string	m_initialProposalCovMatrixDataInputFileName
	Name of input file for initial proposal covariance matrix. More...
std::string	m_initialProposalCovMatrixDataInputFileType
	Type of input file for initial proposal covariance matrix. More...
bool	m_initialPositionUsePreviousLevelLikelihood
	Use previous level likelihood for initial chain position instead of re-computing it from target pdf. More...
std::set< unsigned int >	m_parameterDisabledSet
std::string	m_str2
std::vector< double >	m_initialValuesOfDisabledParameters
std::string	m_str3
std::string	m_rawChainDataInputFileName
	Name of input file for raw chain. More...
std::string	m_rawChainDataInputFileType
	Type of input file for raw chain. More...
unsigned int	m_rawChainSize
	Size of raw chain. More...
bool	m_rawChainGenerateExtra
	Generate extra information about raw chain. More...
unsigned int	m_rawChainDisplayPeriod
	Period of message display during raw chain generation. More...
bool	m_rawChainMeasureRunTimes
	Whether or not to measure run times. More...
unsigned int	m_rawChainDataOutputPeriod
	Period of message display during raw chain generation. More...
std::string	m_rawChainDataOutputFileName
	Name of output file for raw chain. More...
std::string	m_rawChainDataOutputFileType
	Type of output file for raw chain. More...
bool	m_rawChainDataOutputAllowAll
	Whether or not subEnvs will write to output file for raw chain. More...
std::set< unsigned int >	m_rawChainDataOutputAllowedSet
	subEnvs that will write to output file for raw chain. More...
std::string	m_str4
bool	m_filteredChainGenerate
	Whether or not to generate filtered chain. More...
double	m_filteredChainDiscardedPortion
	Initial discarded portion for chain filtering. More...
unsigned int	m_filteredChainLag
	Spacing for chain filtering. More...
std::string	m_filteredChainDataOutputFileName
	Name of output file for filtered chain. More...
std::string	m_filteredChainDataOutputFileType
	Type of output file for filtered chain. More...
bool	m_filteredChainDataOutputAllowAll
	Whether or not subEnvs will write to output file for filtered chain. More...
std::set< unsigned int >	m_filteredChainDataOutputAllowedSet
	subEnvs that will write to output file for filtered chain. More...
std::string	m_str5
bool	m_displayCandidates
	Display candidates generated in the core MH algorithm. More...
bool	m_putOutOfBoundsInChain
	Put 'out of bound' candidates in chain as well. More...
bool	m_tkUseLocalHessian
	Whether or not 'proposal' uses local Hessian. More...
bool	m_tkUseNewtonComponent
	Whether or not 'proposal' uses Newton component. More...
unsigned int	m_drMaxNumExtraStages
	'dr' maximum number of extra stages. More...
std::vector< double >	m_drScalesForExtraStages
	'dr' list of scales for proposal covariance matrices from 2nd stage on. More...
std::string	m_str6
bool	m_drDuringAmNonAdaptiveInt
	Whether or not 'dr' is used during 'am' non adaptive interval. More...
bool	m_amKeepInitialMatrix
	Whether or not 'am' will keep initial (given) matrix. More...
unsigned int	m_amInitialNonAdaptInterval
	'am' initial non adaptation interval More...
unsigned int	m_amAdaptInterval
	'am' adaptation interval. More...
unsigned int	m_amAdaptedMatricesDataOutputPeriod
	Period for outputing 'am' adapted matrices. More...
std::string	m_amAdaptedMatricesDataOutputFileName
	Name of output file for 'am' adapted matrices. More...
std::string	m_amAdaptedMatricesDataOutputFileType
	Type of output file for 'am' adapted matrices. More...
bool	m_amAdaptedMatricesDataOutputAllowAll
	Whether or not subEnvs will write to output file for 'am' adapted matrices. More...
std::set< unsigned int >	m_amAdaptedMatricesDataOutputAllowedSet
	subEnvs that will write to output file for 'am' adapted matrices. More...
std::string	m_str7
double	m_amEta
	'am' eta. More...
double	m_amEpsilon
	'am' epsilon. More...
bool	m_doLogitTransform
	Whether or not a logit transform will be done for bounded domains. More...

Private Member Functions
void	copyOptionsValues (const MLSamplingLevelOptions &srcOptions)
	Copies the option values from srcOptions to this. More...
void	defineMyOptions (po::options_description &optionsDesc) const
	Defines the options for the Multilevel generator of samples as the default options. More...
void	getMyOptionValues (po::options_description &optionsDesc)
	Gets the sequence options defined to the Multilevel algorithm. More...

Private Attributes
const BaseEnvironment &	m_env
po::options_description *	m_optionsDesc
std::string	m_option_help
std::string	m_option_checkpointOutputFileName
std::string	m_option_stopAtEnd
std::string	m_option_dataOutputFileName
std::string	m_option_dataOutputAllowAll
std::string	m_option_dataOutputAllowedSet
std::string	m_option_loadBalanceAlgorithmId
std::string	m_option_loadBalanceTreshold
std::string	m_option_minEffectiveSizeRatio
std::string	m_option_maxEffectiveSizeRatio
std::string	m_option_scaleCovMatrix
std::string	m_option_minRejectionRate
std::string	m_option_maxRejectionRate
std::string	m_option_covRejectionRate
std::string	m_option_minAcceptableEta
std::string	m_option_totallyMute
std::string	m_option_initialPosition_dataInputFileName
std::string	m_option_initialPosition_dataInputFileType
std::string	m_option_initialProposalCovMatrix_dataInputFileName
std::string	m_option_initialProposalCovMatrix_dataInputFileType
std::string	m_option_initialPositionUsePreviousLevelLikelihood
std::string	m_option_listOfDisabledParameters
std::string	m_option_initialValuesOfDisabledParameters
std::string	m_option_rawChain_dataInputFileName
std::string	m_option_rawChain_dataInputFileType
std::string	m_option_rawChain_size
std::string	m_option_rawChain_generateExtra
std::string	m_option_rawChain_displayPeriod
std::string	m_option_rawChain_measureRunTimes
std::string	m_option_rawChain_dataOutputPeriod
std::string	m_option_rawChain_dataOutputFileName
std::string	m_option_rawChain_dataOutputFileType
std::string	m_option_rawChain_dataOutputAllowAll
std::string	m_option_rawChain_dataOutputAllowedSet
std::string	m_option_filteredChain_generate
std::string	m_option_filteredChain_discardedPortion
std::string	m_option_filteredChain_lag
std::string	m_option_filteredChain_dataOutputFileName
std::string	m_option_filteredChain_dataOutputFileType
std::string	m_option_filteredChain_dataOutputAllowAll
std::string	m_option_filteredChain_dataOutputAllowedSet
std::string	m_option_displayCandidates
std::string	m_option_putOutOfBoundsInChain
std::string	m_option_tk_useLocalHessian
std::string	m_option_tk_useNewtonComponent
std::string	m_option_dr_maxNumExtraStages
std::string	m_option_dr_listOfScalesForExtraStages
std::string	m_option_dr_duringAmNonAdaptiveInt
std::string	m_option_am_keepInitialMatrix
std::string	m_option_am_initialNonAdaptInterval
std::string	m_option_am_adaptInterval
std::string	m_option_am_adaptedMatrices_dataOutputPeriod
std::string	m_option_am_adaptedMatrices_dataOutputFileName
std::string	m_option_am_adaptedMatrices_dataOutputFileType
std::string	m_option_am_adaptedMatrices_dataOutputAllowAll
std::string	m_option_am_adaptedMatrices_dataOutputAllowedSet
std::string	m_option_am_eta
std::string	m_option_am_epsilon
std::string	m_option_doLogitTransform

Detailed Description

This class provides options for each level of the Multilevel sequence generator if no input file is available.

Multilevel sequence generator expects options for its methods to operate in each level of the sequece generated. This class provides default values for such options if no input file is available.

Definition at line 115 of file MLSamplingLevelOptions.h.

Constructor & Destructor Documentation

QUESO::MLSamplingLevelOptions::MLSamplingLevelOptions	(	const BaseEnvironment &	env,
		const char *	prefix
	)

Constructor: reads options from the input file.

Definition at line 30 of file MLSamplingLevelOptions.C.

  :
  m_prefix                                   ((std::string)(prefix) + ""),
#ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
#else
  m_checkpointOutputFileName                 (UQ_ML_SAMPLING_L_CHECKPOINT_OUTPUT_FILE_NAME_ODV),
#endif
  m_stopAtEnd                                (UQ_ML_SAMPLING_L_STOP_AT_END_ODV),
  m_dataOutputFileName                       (UQ_ML_SAMPLING_L_DATA_OUTPUT_FILE_NAME_ODV),
  m_dataOutputAllowAll                       (UQ_ML_SAMPLING_L_DATA_OUTPUT_ALLOW_ALL_ODV),
//m_dataOutputAllowedSet                     (),
  m_str1                                     (""),
  m_loadBalanceAlgorithmId                   (UQ_ML_SAMPLING_L_LOAD_BALANCE_ALGORITHM_ID_ODV),
  m_loadBalanceTreshold                      (UQ_ML_SAMPLING_L_LOAD_BALANCE_TRESHOLD_ODV),
  m_minEffectiveSizeRatio                    (UQ_ML_SAMPLING_L_MIN_EFFECTIVE_SIZE_RATIO_ODV),
  m_maxEffectiveSizeRatio                    (UQ_ML_SAMPLING_L_MAX_EFFECTIVE_SIZE_RATIO_ODV),
  m_scaleCovMatrix                           (UQ_ML_SAMPLING_L_SCALE_COV_MATRIX_ODV),
  m_minRejectionRate                         (UQ_ML_SAMPLING_L_MIN_REJECTION_RATE_ODV),
  m_maxRejectionRate                         (UQ_ML_SAMPLING_L_MAX_REJECTION_RATE_ODV),
  m_covRejectionRate                         (UQ_ML_SAMPLING_L_COV_REJECTION_RATE_ODV),
  m_minAcceptableEta                         (UQ_ML_SAMPLING_L_MIN_ACCEPTABLE_ETA_ODV), // gpmsa1
  m_totallyMute                              (UQ_ML_SAMPLING_L_TOTALLY_MUTE_ODV),
  m_initialPositionDataInputFileName         (UQ_ML_SAMPLING_L_INITIAL_POSITION_DATA_INPUT_FILE_NAME_ODV),
  m_initialPositionDataInputFileType         (UQ_ML_SAMPLING_L_INITIAL_POSITION_DATA_INPUT_FILE_TYPE_ODV),
  m_initialProposalCovMatrixDataInputFileName(UQ_ML_SAMPLING_L_INITIAL_PROPOSAL_COV_MATRIX_DATA_INPUT_FILE_NAME_ODV),
  m_initialProposalCovMatrixDataInputFileType(UQ_ML_SAMPLING_L_INITIAL_PROPOSAL_COV_MATRIX_DATA_INPUT_FILE_TYPE_ODV),
  m_initialPositionUsePreviousLevelLikelihood(UQ_ML_SAMPLING_L_INITIAL_POSITION_USE_PREVIOUS_LEVEL_LIKELIHOOD_ODV),  // ml_likelihood_caching
//m_parameterDisabledSet                     (), // gpmsa2
  m_str2                                     (""),
  m_initialValuesOfDisabledParameters        (0),
  m_str3                                     (""),
  m_rawChainDataInputFileName                (UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_INPUT_FILE_NAME_ODV),
  m_rawChainDataInputFileType                (UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_INPUT_FILE_TYPE_ODV),
  m_rawChainSize                             (UQ_ML_SAMPLING_L_RAW_CHAIN_SIZE_ODV),
  m_rawChainGenerateExtra                    (UQ_ML_SAMPLING_L_RAW_CHAIN_GENERATE_EXTRA_ODV),
  m_rawChainDisplayPeriod                    (UQ_ML_SAMPLING_L_RAW_CHAIN_DISPLAY_PERIOD_ODV),
  m_rawChainMeasureRunTimes                  (UQ_ML_SAMPLING_L_RAW_CHAIN_MEASURE_RUN_TIMES_ODV),
  m_rawChainDataOutputPeriod                 (UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_PERIOD_ODV),
  m_rawChainDataOutputFileName               (UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_FILE_NAME_ODV),
  m_rawChainDataOutputFileType               (UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_FILE_TYPE_ODV),
  m_rawChainDataOutputAllowAll               (UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_ALLOW_ALL_ODV),
//m_rawChainDataOutputAllowedSet             (),
  m_str4                                     (""),
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  m_rawChainComputeStats                     (UQ_ML_SAMPLING_L_RAW_CHAIN_COMPUTE_STATS_ODV),
  m_rawChainStatisticalOptionsObj            (NULL),
  m_rawChainStatOptsInstantiated             (false),
#endif
  m_filteredChainGenerate                    (UQ_ML_SAMPLING_L_FILTERED_CHAIN_GENERATE_ODV),
  m_filteredChainDiscardedPortion            (UQ_ML_SAMPLING_L_FILTERED_CHAIN_DISCARDED_PORTION_ODV),
  m_filteredChainLag                         (UQ_ML_SAMPLING_L_FILTERED_CHAIN_LAG_ODV),
  m_filteredChainDataOutputFileName          (UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_FILE_NAME_ODV),
  m_filteredChainDataOutputFileType          (UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_FILE_TYPE_ODV),
  m_filteredChainDataOutputAllowAll          (UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_ALLOW_ALL_ODV),
//m_filteredChainDataOutputAllowedSet        (),
  m_str5                                     (""),
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  m_filteredChainComputeStats                (UQ_ML_SAMPLING_L_FILTERED_CHAIN_COMPUTE_STATS_ODV),
  m_filteredChainStatisticalOptionsObj       (NULL),
  m_filteredChainStatOptsInstantiated        (false),
#endif
  m_displayCandidates                        (UQ_ML_SAMPLING_L_DISPLAY_CANDIDATES_ODV),
  m_putOutOfBoundsInChain                    (UQ_ML_SAMPLING_L_PUT_OUT_OF_BOUNDS_IN_CHAIN_ODV),
  m_tkUseLocalHessian                        (UQ_ML_SAMPLING_L_TK_USE_LOCAL_HESSIAN_ODV),
  m_tkUseNewtonComponent                     (UQ_ML_SAMPLING_L_TK_USE_NEWTON_COMPONENT_ODV),
  m_drMaxNumExtraStages                      (UQ_ML_SAMPLING_L_DR_MAX_NUM_EXTRA_STAGES_ODV),
  m_drScalesForExtraStages                   (0),
  m_str6                                     ("1. "),
  m_drDuringAmNonAdaptiveInt                 (UQ_ML_SAMPLING_L_DR_DURING_AM_NON_ADAPTIVE_INT_ODV),
  m_amKeepInitialMatrix                      (UQ_ML_SAMPLING_L_AM_KEEP_INITIAL_MATRIX_ODV),
  m_amInitialNonAdaptInterval                (UQ_ML_SAMPLING_L_AM_INIT_NON_ADAPT_INT_ODV),
  m_amAdaptInterval                          (UQ_ML_SAMPLING_L_AM_ADAPT_INTERVAL_ODV),
  m_amAdaptedMatricesDataOutputPeriod        (UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_PERIOD_ODV),
  m_amAdaptedMatricesDataOutputFileName      (UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_FILE_NAME_ODV),
  m_amAdaptedMatricesDataOutputFileType      (UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_FILE_TYPE_ODV),
  m_amAdaptedMatricesDataOutputAllowAll      (UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_ALLOW_ALL_ODV),
//m_amAdaptedMatricesDataOutputAllowedSet    (),
  m_str7                                     (""),
  m_amEta                                    (UQ_ML_SAMPLING_L_AM_ETA_ODV),
  m_amEpsilon                                (UQ_ML_SAMPLING_L_AM_EPSILON_ODV),
  m_env                                      (env),
  m_optionsDesc                              (new po::options_description("Multilevel sampling level options")),
  m_option_help                                      (m_prefix + "help"                                      ),
#ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
#else
  m_option_checkpointOutputFileName                  (m_prefix + "checkpointOutputFileName"                  ),
#endif
  m_option_stopAtEnd                                 (m_prefix + "stopAtEnd"                                 ),
  m_option_dataOutputFileName                        (m_prefix + "dataOutputFileName"                        ),
  m_option_dataOutputAllowAll                        (m_prefix + "dataOutputAllowAll"                        ),
  m_option_dataOutputAllowedSet                      (m_prefix + "dataOutputAllowedSet"                      ),
  m_option_loadBalanceAlgorithmId                    (m_prefix + "loadBalanceAlgorithmId"                    ),
  m_option_loadBalanceTreshold                       (m_prefix + "loadBalanceTreshold"                       ),
  m_option_minEffectiveSizeRatio                     (m_prefix + "minEffectiveSizeRatio"                     ),
  m_option_maxEffectiveSizeRatio                     (m_prefix + "maxEffectiveSizeRatio"                     ),
  m_option_scaleCovMatrix                            (m_prefix + "scaleCovMatrix"                            ),
  m_option_minRejectionRate                          (m_prefix + "minRejectionRate"                          ),
  m_option_maxRejectionRate                          (m_prefix + "maxRejectionRate"                          ),
  m_option_covRejectionRate                          (m_prefix + "covRejectionRate"                          ),
  m_option_minAcceptableEta                          (m_prefix + "minAcceptableEta"                          ), // gpmsa1
  m_option_totallyMute                               (m_prefix + "totallyMute"                               ),
  m_option_initialPosition_dataInputFileName         (m_prefix + "initialPosition_dataInputFileName"         ),
  m_option_initialPosition_dataInputFileType         (m_prefix + "initialPosition_dataInputFileType"         ),
  m_option_initialProposalCovMatrix_dataInputFileName(m_prefix + "initialProposalCovMatrix_dataInputFileName"),
  m_option_initialProposalCovMatrix_dataInputFileType(m_prefix + "initialProposalCovMatrix_dataInputFileType"),
  m_option_initialPositionUsePreviousLevelLikelihood (m_prefix + "initialPositionUsePreviousLevelLikelihood" ), // ml_likelihood_caching
  m_option_listOfDisabledParameters                  (m_prefix + "listOfDisabledParameters"                  ), // gpmsa2
  m_option_initialValuesOfDisabledParameters         (m_prefix + "initialValuesOfDisabledParameters"         ), // gpmsa2
  m_option_rawChain_dataInputFileName                (m_prefix + "rawChain_dataInputFileName"                ),
  m_option_rawChain_dataInputFileType                (m_prefix + "rawChain_dataInputFileType"                ),
  m_option_rawChain_size                             (m_prefix + "rawChain_size"                             ),
  m_option_rawChain_generateExtra                    (m_prefix + "rawChain_generateExtra"                    ),
  m_option_rawChain_displayPeriod                    (m_prefix + "rawChain_displayPeriod"                    ),
  m_option_rawChain_measureRunTimes                  (m_prefix + "rawChain_measureRunTimes"                  ),
  m_option_rawChain_dataOutputPeriod                 (m_prefix + "rawChain_dataOutputPeriod"                 ),
  m_option_rawChain_dataOutputFileName               (m_prefix + "rawChain_dataOutputFileName"               ),
  m_option_rawChain_dataOutputFileType               (m_prefix + "rawChain_dataOutputFileType"               ),
  m_option_rawChain_dataOutputAllowAll               (m_prefix + "rawChain_dataOutputAllowAll"               ),
  m_option_rawChain_dataOutputAllowedSet             (m_prefix + "rawChain_dataOutputAllowedSet"             ),
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  m_option_rawChain_computeStats                     (m_prefix + "rawChain_computeStats"                     ),
#endif
  m_option_filteredChain_generate                    (m_prefix + "filteredChain_generate"                    ),
  m_option_filteredChain_discardedPortion            (m_prefix + "filteredChain_discardedPortion"            ),
  m_option_filteredChain_lag                         (m_prefix + "filteredChain_lag"                         ),
  m_option_filteredChain_dataOutputFileName          (m_prefix + "filteredChain_dataOutputFileName"          ),
  m_option_filteredChain_dataOutputFileType          (m_prefix + "filteredChain_dataOutputFileType"          ),
  m_option_filteredChain_dataOutputAllowAll          (m_prefix + "filteredChain_dataOutputAllowAll"          ),
  m_option_filteredChain_dataOutputAllowedSet        (m_prefix + "filteredChain_dataOutputAllowedSet"        ),
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  m_option_filteredChain_computeStats                (m_prefix + "filteredChain_computeStats"                ),
#endif
  m_option_displayCandidates                         (m_prefix + "displayCandidates"                         ),
  m_option_putOutOfBoundsInChain                     (m_prefix + "putOutOfBoundsInChain"                     ),
  m_option_tk_useLocalHessian                        (m_prefix + "tk_useLocalHessian"                        ),
  m_option_tk_useNewtonComponent                     (m_prefix + "tk_useNewtonComponent"                     ),
  m_option_dr_maxNumExtraStages                      (m_prefix + "dr_maxNumExtraStages"                      ),
  m_option_dr_listOfScalesForExtraStages             (m_prefix + "dr_listOfScalesForExtraStages"             ),
  m_option_dr_duringAmNonAdaptiveInt                 (m_prefix + "dr_duringAmNonAdaptiveInt"                 ),
  m_option_am_keepInitialMatrix                      (m_prefix + "am_keepInitialMatrix"                      ),
  m_option_am_initialNonAdaptInterval                (m_prefix + "am_initialNonAdaptInterval"                ),
  m_option_am_adaptInterval                          (m_prefix + "am_adaptInterval"                          ),
  m_option_am_adaptedMatrices_dataOutputPeriod       (m_prefix + "amAdaptedMatrices_dataOutputPeriod"        ),
  m_option_am_adaptedMatrices_dataOutputFileName     (m_prefix + "amAdaptedMatrices_dataOutputFileName"      ),
  m_option_am_adaptedMatrices_dataOutputFileType     (m_prefix + "amAdaptedMatrices_dataOutputFileType"      ),
  m_option_am_adaptedMatrices_dataOutputAllowAll     (m_prefix + "amAdaptedMatrices_dataOutputAllowAll"      ),
  m_option_am_adaptedMatrices_dataOutputAllowedSet   (m_prefix + "amAdaptedMatrices_dataOutputAllowedSet"    ),
  m_option_am_eta                                    (m_prefix + "am_eta"                                    ),
  m_option_am_epsilon                                (m_prefix + "am_epsilon"                                ),
  m_option_doLogitTransform                          (m_prefix + "doLogitTransform"                          )
{
}

QUESO::MLSamplingLevelOptions::~MLSamplingLevelOptions

(

)

Destructor.

Definition at line 271 of file MLSamplingLevelOptions.C.

References m_optionsDesc.

{
  //std::cout << "In MLSamplingLevelOptions::destructor()"
  //          << ": m_filteredChainStatOptsInstantiated = " << m_filteredChainStatOptsInstantiated
  //          << ", m_rawChainStatOptsInstantiated = "      << m_rawChainStatOptsInstantiated
  //          << std::endl;
  //sleep(1);
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  if (m_filteredChainStatOptsInstantiated) delete m_filteredChainStatisticalOptionsObj;
  if (m_rawChainStatOptsInstantiated     ) delete m_rawChainStatisticalOptionsObj;
#endif
  if (m_optionsDesc                      ) delete m_optionsDesc;
} 

Member Function Documentation

void QUESO::MLSamplingLevelOptions::copyOptionsValues ( const MLSamplingLevelOptions &  srcOptions )

private

Copies the option values from srcOptions to this.

Definition at line 186 of file MLSamplingLevelOptions.C.

References m_amAdaptedMatricesDataOutputAllowAll, m_amAdaptedMatricesDataOutputAllowedSet, m_amAdaptedMatricesDataOutputFileName, m_amAdaptedMatricesDataOutputFileType, m_amAdaptedMatricesDataOutputPeriod, m_amAdaptInterval, m_amEpsilon, m_amEta, m_amInitialNonAdaptInterval, m_amKeepInitialMatrix, m_checkpointOutputFileName, m_covRejectionRate, m_dataOutputAllowAll, m_dataOutputAllowedSet, m_dataOutputFileName, m_displayCandidates, m_doLogitTransform, m_drDuringAmNonAdaptiveInt, m_drMaxNumExtraStages, m_drScalesForExtraStages, m_filteredChainDataOutputAllowAll, m_filteredChainDataOutputAllowedSet, m_filteredChainDataOutputFileName, m_filteredChainDataOutputFileType, m_filteredChainDiscardedPortion, m_filteredChainGenerate, m_filteredChainLag, m_initialPositionDataInputFileName, m_initialPositionDataInputFileType, m_initialPositionUsePreviousLevelLikelihood, m_initialProposalCovMatrixDataInputFileName, m_initialProposalCovMatrixDataInputFileType, m_initialValuesOfDisabledParameters, m_loadBalanceAlgorithmId, m_loadBalanceTreshold, m_maxEffectiveSizeRatio, m_maxRejectionRate, m_minAcceptableEta, m_minEffectiveSizeRatio, m_minRejectionRate, m_parameterDisabledSet, m_putOutOfBoundsInChain, m_rawChainDataInputFileName, m_rawChainDataInputFileType, m_rawChainDataOutputAllowAll, m_rawChainDataOutputAllowedSet, m_rawChainDataOutputFileName, m_rawChainDataOutputFileType, m_rawChainDataOutputPeriod, m_rawChainDisplayPeriod, m_rawChainGenerateExtra, m_rawChainMeasureRunTimes, m_rawChainSize, m_scaleCovMatrix, m_stopAtEnd, m_str1, m_str2, m_str3, m_str4, m_str5, m_str6, m_str7, m_tkUseLocalHessian, m_tkUseNewtonComponent, and m_totallyMute.

Referenced by scanOptionsValues().

{
#ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
#else
  m_checkpointOutputFileName                  = srcOptions.m_checkpointOutputFileName;
#endif
  m_stopAtEnd                                 = srcOptions.m_stopAtEnd;
  m_dataOutputFileName                        = srcOptions.m_dataOutputFileName;
  m_dataOutputAllowAll                        = srcOptions.m_dataOutputAllowAll;
  m_dataOutputAllowedSet                      = srcOptions.m_dataOutputAllowedSet;
  m_str1                                      = srcOptions.m_str1;
  m_loadBalanceAlgorithmId                    = srcOptions.m_loadBalanceAlgorithmId;
  m_loadBalanceTreshold                       = srcOptions.m_loadBalanceTreshold;
  m_minEffectiveSizeRatio                     = srcOptions.m_minEffectiveSizeRatio;
  m_maxEffectiveSizeRatio                     = srcOptions.m_maxEffectiveSizeRatio;
  m_scaleCovMatrix                            = srcOptions.m_scaleCovMatrix;
  m_minRejectionRate                          = srcOptions.m_minRejectionRate;
  m_maxRejectionRate                          = srcOptions.m_maxRejectionRate;
  m_covRejectionRate                          = srcOptions.m_covRejectionRate;
  m_minAcceptableEta                          = srcOptions.m_minAcceptableEta; // gpmsa1
  m_totallyMute                               = srcOptions.m_totallyMute;
  m_initialPositionDataInputFileName          = srcOptions.m_initialPositionDataInputFileName;
  m_initialPositionDataInputFileType          = srcOptions.m_initialPositionDataInputFileType;
  m_initialProposalCovMatrixDataInputFileName = srcOptions.m_initialProposalCovMatrixDataInputFileName;
  m_initialProposalCovMatrixDataInputFileType = srcOptions.m_initialProposalCovMatrixDataInputFileType;
  m_initialPositionUsePreviousLevelLikelihood = srcOptions.m_initialPositionUsePreviousLevelLikelihood;
  m_parameterDisabledSet                      = srcOptions.m_parameterDisabledSet; // gpmsa2
  m_str2                                      = srcOptions.m_str2; // gpmsa2
  m_initialValuesOfDisabledParameters         = srcOptions.m_initialValuesOfDisabledParameters;
  m_str3                                      = srcOptions.m_str3;
  m_rawChainDataInputFileName                 = srcOptions.m_rawChainDataInputFileName;
  m_rawChainDataInputFileType                 = srcOptions.m_rawChainDataInputFileType;
  m_rawChainSize                              = srcOptions.m_rawChainSize;
//std::cout << "In copy(), rawChainSize = " << m_rawChainSize << std::endl;
  m_rawChainGenerateExtra                     = srcOptions.m_rawChainGenerateExtra;
  m_rawChainDisplayPeriod                     = srcOptions.m_rawChainDisplayPeriod;
  m_rawChainMeasureRunTimes                   = srcOptions.m_rawChainMeasureRunTimes;
  m_rawChainDataOutputPeriod                  = srcOptions.m_rawChainDataOutputPeriod;
  m_rawChainDataOutputFileName                = srcOptions.m_rawChainDataOutputFileName;
  m_rawChainDataOutputFileType                = srcOptions.m_rawChainDataOutputFileType;
  m_rawChainDataOutputAllowAll                = srcOptions.m_rawChainDataOutputAllowAll;
  m_rawChainDataOutputAllowedSet              = srcOptions.m_rawChainDataOutputAllowedSet;
  m_str4                                      = srcOptions.m_str4;
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  m_rawChainComputeStats                      = srcOptions.m_rawChainComputeStats;
  m_rawChainStatisticalOptionsObj             = NULL; // Yes, 'NULL'
  m_rawChainStatOptsInstantiated              = false;
#endif
  m_filteredChainGenerate                     = srcOptions.m_filteredChainGenerate;
  m_filteredChainDiscardedPortion             = srcOptions.m_filteredChainDiscardedPortion;
  m_filteredChainLag                          = srcOptions.m_filteredChainLag;
  m_filteredChainDataOutputFileName           = srcOptions.m_filteredChainDataOutputFileName;
  m_filteredChainDataOutputFileType           = srcOptions.m_filteredChainDataOutputFileType;
  m_filteredChainDataOutputAllowAll           = srcOptions.m_filteredChainDataOutputAllowAll;
  m_filteredChainDataOutputAllowedSet         = srcOptions.m_filteredChainDataOutputAllowedSet;
  m_str5                                      = srcOptions.m_str5;
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  m_filteredChainComputeStats                 = srcOptions.m_filteredChainComputeStats;
  m_filteredChainStatisticalOptionsObj        = NULL; // Yes, 'NULL'
  m_filteredChainStatOptsInstantiated         = false;
#endif
  m_displayCandidates                         = srcOptions.m_displayCandidates;
  m_putOutOfBoundsInChain                     = srcOptions.m_putOutOfBoundsInChain;
  m_tkUseLocalHessian                         = srcOptions.m_tkUseLocalHessian;
  m_tkUseNewtonComponent                      = srcOptions.m_tkUseNewtonComponent;
  m_drMaxNumExtraStages                       = srcOptions.m_drMaxNumExtraStages;
  m_drScalesForExtraStages                    = srcOptions.m_drScalesForExtraStages;
  m_str6                                      = srcOptions.m_str6;
  m_drDuringAmNonAdaptiveInt                  = srcOptions.m_drDuringAmNonAdaptiveInt;
  m_amKeepInitialMatrix                       = srcOptions.m_amKeepInitialMatrix;
  m_amInitialNonAdaptInterval                 = srcOptions.m_amInitialNonAdaptInterval;
  m_amAdaptInterval                           = srcOptions.m_amAdaptInterval;
  m_amAdaptedMatricesDataOutputPeriod         = srcOptions.m_amAdaptedMatricesDataOutputPeriod;
  m_amAdaptedMatricesDataOutputFileName       = srcOptions.m_amAdaptedMatricesDataOutputFileName;
  m_amAdaptedMatricesDataOutputFileType       = srcOptions.m_amAdaptedMatricesDataOutputFileType;
  m_amAdaptedMatricesDataOutputAllowAll       = srcOptions.m_amAdaptedMatricesDataOutputAllowAll;
  m_amAdaptedMatricesDataOutputAllowedSet     = srcOptions.m_amAdaptedMatricesDataOutputAllowedSet;
  m_str7                                      = srcOptions.m_str7;
  m_amEta                                     = srcOptions.m_amEta;
  m_amEpsilon                                 = srcOptions.m_amEpsilon;
  m_doLogitTransform                          = srcOptions.m_doLogitTransform;

  return;
}

void QUESO::MLSamplingLevelOptions::defineMyOptions ( po::options_description &  optionsDesc ) const

private

Defines the options for the Multilevel generator of samples as the default options.

Definition at line 318 of file MLSamplingLevelOptions.C.

References m_amAdaptedMatricesDataOutputAllowAll, m_amAdaptedMatricesDataOutputFileName, m_amAdaptedMatricesDataOutputFileType, m_amAdaptedMatricesDataOutputPeriod, m_amAdaptInterval, m_amEpsilon, m_amEta, m_amInitialNonAdaptInterval, m_amKeepInitialMatrix, m_checkpointOutputFileName, m_covRejectionRate, m_dataOutputAllowAll, m_dataOutputFileName, m_displayCandidates, m_drDuringAmNonAdaptiveInt, m_drMaxNumExtraStages, m_filteredChainDataOutputAllowAll, m_filteredChainDataOutputFileName, m_filteredChainDataOutputFileType, m_filteredChainDiscardedPortion, m_filteredChainGenerate, m_filteredChainLag, m_initialPositionDataInputFileName, m_initialPositionDataInputFileType, m_initialPositionUsePreviousLevelLikelihood, m_initialProposalCovMatrixDataInputFileName, m_initialProposalCovMatrixDataInputFileType, m_loadBalanceAlgorithmId, m_loadBalanceTreshold, m_maxEffectiveSizeRatio, m_maxRejectionRate, m_minAcceptableEta, m_minEffectiveSizeRatio, m_minRejectionRate, m_option_am_adaptedMatrices_dataOutputAllowAll, m_option_am_adaptedMatrices_dataOutputAllowedSet, m_option_am_adaptedMatrices_dataOutputFileName, m_option_am_adaptedMatrices_dataOutputFileType, m_option_am_adaptedMatrices_dataOutputPeriod, m_option_am_adaptInterval, m_option_am_epsilon, m_option_am_eta, m_option_am_initialNonAdaptInterval, m_option_am_keepInitialMatrix, m_option_checkpointOutputFileName, m_option_covRejectionRate, m_option_dataOutputAllowAll, m_option_dataOutputAllowedSet, m_option_dataOutputFileName, m_option_displayCandidates, m_option_doLogitTransform, m_option_dr_duringAmNonAdaptiveInt, m_option_dr_listOfScalesForExtraStages, m_option_dr_maxNumExtraStages, m_option_filteredChain_dataOutputAllowAll, m_option_filteredChain_dataOutputAllowedSet, m_option_filteredChain_dataOutputFileName, m_option_filteredChain_dataOutputFileType, m_option_filteredChain_discardedPortion, m_option_filteredChain_generate, m_option_filteredChain_lag, m_option_help, m_option_initialPosition_dataInputFileName, m_option_initialPosition_dataInputFileType, m_option_initialPositionUsePreviousLevelLikelihood, m_option_initialProposalCovMatrix_dataInputFileName, m_option_initialProposalCovMatrix_dataInputFileType, m_option_initialValuesOfDisabledParameters, m_option_listOfDisabledParameters, m_option_loadBalanceAlgorithmId, m_option_loadBalanceTreshold, m_option_maxEffectiveSizeRatio, m_option_maxRejectionRate, m_option_minAcceptableEta, m_option_minEffectiveSizeRatio, m_option_minRejectionRate, m_option_putOutOfBoundsInChain, m_option_rawChain_dataInputFileName, m_option_rawChain_dataInputFileType, m_option_rawChain_dataOutputAllowAll, m_option_rawChain_dataOutputAllowedSet, m_option_rawChain_dataOutputFileName, m_option_rawChain_dataOutputFileType, m_option_rawChain_dataOutputPeriod, m_option_rawChain_displayPeriod, m_option_rawChain_generateExtra, m_option_rawChain_measureRunTimes, m_option_rawChain_size, m_option_scaleCovMatrix, m_option_stopAtEnd, m_option_tk_useLocalHessian, m_option_tk_useNewtonComponent, m_option_totallyMute, m_putOutOfBoundsInChain, m_rawChainDataInputFileName, m_rawChainDataInputFileType, m_rawChainDataOutputAllowAll, m_rawChainDataOutputFileName, m_rawChainDataOutputFileType, m_rawChainDataOutputPeriod, m_rawChainDisplayPeriod, m_rawChainGenerateExtra, m_rawChainMeasureRunTimes, m_rawChainSize, m_scaleCovMatrix, m_stopAtEnd, m_str1, m_str2, m_str3, m_str4, m_str5, m_str6, m_str7, m_tkUseLocalHessian, m_tkUseNewtonComponent, m_totallyMute, ML_CODE_HAS_NEW_RESTART_CAPABILITY, and UQ_ML_SAMPLING_L_DO_LOGIT_TRANSFORM.

Referenced by scanOptionsValues().

{
  optionsDesc.add_options()     
    (m_option_help.c_str(),                                                                                                                              "produce help message for Bayesian Markov chain distr. calculator")
#ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
#else
    (m_option_checkpointOutputFileName.c_str(),                   po::value<std::string >()->default_value(m_checkpointOutputFileName                 ), "name of checpoint output file"                                   )
#endif
    (m_option_stopAtEnd.c_str(),                                  po::value<bool        >()->default_value(m_stopAtEnd                                ), "stop at end of such level"                                       )
    (m_option_dataOutputFileName.c_str(),                         po::value<std::string >()->default_value(m_dataOutputFileName                       ), "name of generic output file"                                     )
    (m_option_dataOutputAllowAll.c_str(),                         po::value<bool        >()->default_value(m_dataOutputAllowAll                       ), "subEnvs that will write to generic output file"                  )
    (m_option_dataOutputAllowedSet.c_str(),                       po::value<std::string >()->default_value(m_str1                                     ), "subEnvs that will write to generic output file"                  )
    (m_option_loadBalanceAlgorithmId.c_str(),                     po::value<unsigned int>()->default_value(m_loadBalanceAlgorithmId                   ), "Perform load balancing with chosen algorithm (0 = no balancing)" )
    (m_option_loadBalanceTreshold.c_str(),                        po::value<double      >()->default_value(m_loadBalanceTreshold                      ), "Perform load balancing if load unbalancing ratio > treshold"     )
    (m_option_minEffectiveSizeRatio.c_str(),                      po::value<double      >()->default_value(m_minEffectiveSizeRatio                    ), "minimum allowed effective size ratio wrt previous level"         )
    (m_option_maxEffectiveSizeRatio.c_str(),                      po::value<double      >()->default_value(m_maxEffectiveSizeRatio                    ), "maximum allowed effective size ratio wrt previous level"         )
    (m_option_scaleCovMatrix.c_str(),                             po::value<bool        >()->default_value(m_scaleCovMatrix                           ), "scale proposal covariance matrix"                                )
    (m_option_minRejectionRate.c_str(),                           po::value<double      >()->default_value(m_minRejectionRate                         ), "minimum allowed attempted rejection rate at current level"       )
    (m_option_maxRejectionRate.c_str(),                           po::value<double      >()->default_value(m_maxRejectionRate                         ), "maximum allowed attempted rejection rate at current level"       )
    (m_option_covRejectionRate.c_str(),                           po::value<double      >()->default_value(m_covRejectionRate                         ), "c.o.v. for judging attempted rejection rate at current level"    )
    (m_option_minAcceptableEta.c_str(),                           po::value<double      >()->default_value(m_minAcceptableEta                         ), "min acceptable eta"                                              )
    (m_option_totallyMute.c_str(),                                po::value<bool        >()->default_value(m_totallyMute                              ), "totally mute (no printout message)"                              )
    (m_option_initialPosition_dataInputFileName.c_str(),          po::value<std::string >()->default_value(m_initialPositionDataInputFileName         ), "name of input file for initial position"                         )
    (m_option_initialPosition_dataInputFileType.c_str(),          po::value<std::string >()->default_value(m_initialPositionDataInputFileType         ), "type of input file for initial position"                         )
    (m_option_initialProposalCovMatrix_dataInputFileName.c_str(), po::value<std::string >()->default_value(m_initialProposalCovMatrixDataInputFileName), "name of input file for initial proposal covariance matrix"       )
    (m_option_initialProposalCovMatrix_dataInputFileType.c_str(), po::value<std::string >()->default_value(m_initialProposalCovMatrixDataInputFileType), "type of input file for initial proposal covariance matrix"       )
    (m_option_initialPositionUsePreviousLevelLikelihood.c_str(),  po::value<bool        >()->default_value(m_initialPositionUsePreviousLevelLikelihood), "use previous level likelihood for initial chain position instead of re-computing from target pdf")
    (m_option_listOfDisabledParameters.c_str(),                   po::value<std::string >()->default_value(m_str2                                     ), "list of disabled parameters"                                     ) // gpmsa2
    (m_option_initialValuesOfDisabledParameters.c_str(),          po::value<std::string >()->default_value(m_str3                                     ), "initial values of disabled parameters"                           ) // gpmsa2
    (m_option_rawChain_dataInputFileName.c_str(),                 po::value<std::string >()->default_value(m_rawChainDataInputFileName                ), "name of input file for raw chain "                               )
    (m_option_rawChain_dataInputFileType.c_str(),                 po::value<std::string >()->default_value(m_rawChainDataInputFileType                ), "type of input file for raw chain "                               )
    (m_option_rawChain_size.c_str(),                              po::value<unsigned int>()->default_value(m_rawChainSize                             ), "size of raw chain"                                               )
    (m_option_rawChain_generateExtra.c_str(),                     po::value<bool        >()->default_value(m_rawChainGenerateExtra                    ), "generate extra information about raw chain"                      )
    (m_option_rawChain_displayPeriod.c_str(),                     po::value<unsigned int>()->default_value(m_rawChainDisplayPeriod                    ), "period of message display during raw chain generation"           )
    (m_option_rawChain_measureRunTimes.c_str(),                   po::value<bool        >()->default_value(m_rawChainMeasureRunTimes                  ), "measure run times"                                               )
    (m_option_rawChain_dataOutputPeriod.c_str(),                  po::value<unsigned int>()->default_value(m_rawChainDataOutputPeriod                 ), "period of message display during raw chain generation"           )
    (m_option_rawChain_dataOutputFileName.c_str(),                po::value<std::string >()->default_value(m_rawChainDataOutputFileName               ), "name of output file for raw chain "                              )
    (m_option_rawChain_dataOutputFileType.c_str(),                po::value<std::string >()->default_value(m_rawChainDataOutputFileType               ), "type of output file for raw chain "                              )
    (m_option_rawChain_dataOutputAllowAll.c_str(),                po::value<bool        >()->default_value(m_rawChainDataOutputAllowAll               ), "subEnvs that will write to output file for raw chain"            )
    (m_option_rawChain_dataOutputAllowedSet.c_str(),              po::value<std::string >()->default_value(m_str4                                     ), "subEnvs that will write to output file for raw chain"            )
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
    (m_option_rawChain_computeStats.c_str(),                      po::value<bool        >()->default_value(m_rawChainComputeStats                     ), "compute statistics on raw chain"                                 )
#endif
    (m_option_filteredChain_generate.c_str(),                     po::value<bool        >()->default_value(m_filteredChainGenerate                    ), "generate filtered chain"                                         )
    (m_option_filteredChain_discardedPortion.c_str(),             po::value<double      >()->default_value(m_filteredChainDiscardedPortion            ), "initial discarded portion for chain filtering"                   )
    (m_option_filteredChain_lag.c_str(),                          po::value<unsigned int>()->default_value(m_filteredChainLag                         ), "spacing for chain filtering"                                     )
    (m_option_filteredChain_dataOutputFileName.c_str(),           po::value<std::string >()->default_value(m_filteredChainDataOutputFileName          ), "name of output file for filtered chain"                          )
    (m_option_filteredChain_dataOutputFileType.c_str(),           po::value<std::string >()->default_value(m_filteredChainDataOutputFileType          ), "type of output file for filtered chain"                          )
    (m_option_filteredChain_dataOutputAllowAll.c_str(),           po::value<bool        >()->default_value(m_filteredChainDataOutputAllowAll          ), "subEnvs that will write to output file for filtered chain"       )
    (m_option_filteredChain_dataOutputAllowedSet.c_str(),         po::value<std::string >()->default_value(m_str5                                     ), "subEnvs that will write to output file for filtered chain"       )
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
    (m_option_filteredChain_computeStats.c_str(),                 po::value<bool        >()->default_value(m_filteredChainComputeStats                ), "compute statistics on filtered chain"                            )
#endif
    (m_option_displayCandidates.c_str(),                          po::value<bool        >()->default_value(m_displayCandidates                        ), "display candidates generated in the core MH algorithm"           )
    (m_option_putOutOfBoundsInChain.c_str(),                      po::value<bool        >()->default_value(m_putOutOfBoundsInChain                    ), "put 'out of bound' candidates in chain as well"                  )
    (m_option_tk_useLocalHessian.c_str(),                         po::value<bool        >()->default_value(m_tkUseLocalHessian                        ), "'proposal' use local Hessian"                                    )
    (m_option_tk_useNewtonComponent.c_str(),                      po::value<bool        >()->default_value(m_tkUseNewtonComponent                     ), "'proposal' use Newton component"                                 )
    (m_option_dr_maxNumExtraStages.c_str(),                       po::value<unsigned int>()->default_value(m_drMaxNumExtraStages                      ), "'dr' maximum number of extra stages"                             )
    (m_option_dr_listOfScalesForExtraStages.c_str(),              po::value<std::string >()->default_value(m_str6                                     ), "'dr' list of scales for proposal cov matrices from 2nd stage on" )
    (m_option_dr_duringAmNonAdaptiveInt.c_str(),                  po::value<bool        >()->default_value(m_drDuringAmNonAdaptiveInt                 ), "'dr' used during 'am' non adaptive interval"                     )
    (m_option_am_keepInitialMatrix.c_str(),                       po::value<bool        >()->default_value(m_amKeepInitialMatrix                      ), "'am' keep initial (given) matrix"                                )
    (m_option_am_initialNonAdaptInterval.c_str(),                 po::value<unsigned int>()->default_value(m_amInitialNonAdaptInterval                ), "'am' initial non adaptation interval"                            )
    (m_option_am_adaptInterval.c_str(),                           po::value<unsigned int>()->default_value(m_amAdaptInterval                          ), "'am' adaptation interval"                                        )
    (m_option_am_adaptedMatrices_dataOutputPeriod.c_str(),        po::value<unsigned int>()->default_value(m_amAdaptedMatricesDataOutputPeriod        ), "period for outputing 'am' adapted matrices"                      )
    (m_option_am_adaptedMatrices_dataOutputFileName.c_str(),      po::value<std::string >()->default_value(m_amAdaptedMatricesDataOutputFileName      ), "name of output file for 'am' adapted matrices"                   )
    (m_option_am_adaptedMatrices_dataOutputFileType.c_str(),      po::value<std::string >()->default_value(m_amAdaptedMatricesDataOutputFileType      ), "type of output file for 'am' adapted matrices"                   )
    (m_option_am_adaptedMatrices_dataOutputAllowAll.c_str(),      po::value<bool        >()->default_value(m_amAdaptedMatricesDataOutputAllowAll      ), "type of output file for 'am' adapted matrices"                   )
    (m_option_am_adaptedMatrices_dataOutputAllowedSet.c_str(),    po::value<std::string >()->default_value(m_str7                                     ), "type of output file for 'am' adapted matrices"                   )
    (m_option_am_eta.c_str(),                                     po::value<double      >()->default_value(m_amEta                                    ), "'am' eta"                                                        )
    (m_option_am_epsilon.c_str(),                                 po::value<double      >()->default_value(m_amEpsilon                                ), "'am' epsilon"                                                    )
    (m_option_doLogitTransform.c_str(),                           po::value<bool        >()->default_value(UQ_ML_SAMPLING_L_DO_LOGIT_TRANSFORM        ), "flag for doing logit transform for bounded domains"              )
  ;

  return;
}

const BaseEnvironment & QUESO::MLSamplingLevelOptions::env

(

)

const

Access to the environment.

Definition at line 966 of file MLSamplingLevelOptions.C.

References m_env.

{
  return m_env;
}

void QUESO::MLSamplingLevelOptions::getMyOptionValues ( po::options_description &  optionsDesc )

private

Gets the sequence options defined to the Multilevel algorithm.

Definition at line 395 of file MLSamplingLevelOptions.C.

References QUESO::BaseEnvironment::allOptionsMap(), QUESO::BaseEnvironment::fullRank(), QUESO::BaseEnvironment::inter0Rank(), m_amAdaptedMatricesDataOutputAllowAll, m_amAdaptedMatricesDataOutputAllowedSet, m_amAdaptedMatricesDataOutputFileName, m_amAdaptedMatricesDataOutputFileType, m_amAdaptedMatricesDataOutputPeriod, m_amAdaptInterval, m_amEpsilon, m_amEta, m_amInitialNonAdaptInterval, m_amKeepInitialMatrix, m_checkpointOutputFileName, m_covRejectionRate, m_dataOutputAllowAll, m_dataOutputAllowedSet, m_dataOutputFileName, m_displayCandidates, m_doLogitTransform, m_drDuringAmNonAdaptiveInt, m_drMaxNumExtraStages, m_drScalesForExtraStages, m_env, m_filteredChainDataOutputAllowAll, m_filteredChainDataOutputAllowedSet, m_filteredChainDataOutputFileName, m_filteredChainDataOutputFileType, m_filteredChainDiscardedPortion, m_filteredChainGenerate, m_filteredChainLag, m_initialPositionDataInputFileName, m_initialPositionDataInputFileType, m_initialPositionUsePreviousLevelLikelihood, m_initialProposalCovMatrixDataInputFileName, m_initialProposalCovMatrixDataInputFileType, m_initialValuesOfDisabledParameters, m_loadBalanceAlgorithmId, m_loadBalanceTreshold, m_maxEffectiveSizeRatio, m_maxRejectionRate, m_minAcceptableEta, m_minEffectiveSizeRatio, m_minRejectionRate, m_option_am_adaptedMatrices_dataOutputAllowAll, m_option_am_adaptedMatrices_dataOutputAllowedSet, m_option_am_adaptedMatrices_dataOutputFileName, m_option_am_adaptedMatrices_dataOutputFileType, m_option_am_adaptedMatrices_dataOutputPeriod, m_option_am_adaptInterval, m_option_am_epsilon, m_option_am_eta, m_option_am_initialNonAdaptInterval, m_option_am_keepInitialMatrix, m_option_checkpointOutputFileName, m_option_covRejectionRate, m_option_dataOutputAllowAll, m_option_dataOutputAllowedSet, m_option_dataOutputFileName, m_option_displayCandidates, m_option_doLogitTransform, m_option_dr_duringAmNonAdaptiveInt, m_option_dr_listOfScalesForExtraStages, m_option_dr_maxNumExtraStages, m_option_filteredChain_dataOutputAllowAll, m_option_filteredChain_dataOutputAllowedSet, m_option_filteredChain_dataOutputFileName, m_option_filteredChain_dataOutputFileType, m_option_filteredChain_discardedPortion, m_option_filteredChain_generate, m_option_filteredChain_lag, m_option_help, m_option_initialPosition_dataInputFileName, m_option_initialPosition_dataInputFileType, m_option_initialPositionUsePreviousLevelLikelihood, m_option_initialProposalCovMatrix_dataInputFileName, m_option_initialProposalCovMatrix_dataInputFileType, m_option_initialValuesOfDisabledParameters, m_option_listOfDisabledParameters, m_option_loadBalanceAlgorithmId, m_option_loadBalanceTreshold, m_option_maxEffectiveSizeRatio, m_option_maxRejectionRate, m_option_minAcceptableEta, m_option_minEffectiveSizeRatio, m_option_minRejectionRate, m_option_putOutOfBoundsInChain, m_option_rawChain_dataInputFileName, m_option_rawChain_dataInputFileType, m_option_rawChain_dataOutputAllowAll, m_option_rawChain_dataOutputAllowedSet, m_option_rawChain_dataOutputFileName, m_option_rawChain_dataOutputFileType, m_option_rawChain_dataOutputPeriod, m_option_rawChain_displayPeriod, m_option_rawChain_generateExtra, m_option_rawChain_measureRunTimes, m_option_rawChain_size, m_option_scaleCovMatrix, m_option_stopAtEnd, m_option_tk_useLocalHessian, m_option_tk_useNewtonComponent, m_option_totallyMute, m_parameterDisabledSet, m_putOutOfBoundsInChain, m_rawChainDataInputFileName, m_rawChainDataInputFileType, m_rawChainDataOutputAllowAll, m_rawChainDataOutputAllowedSet, m_rawChainDataOutputFileName, m_rawChainDataOutputFileType, m_rawChainDataOutputPeriod, m_rawChainDisplayPeriod, m_rawChainGenerateExtra, m_rawChainMeasureRunTimes, m_rawChainSize, m_scaleCovMatrix, m_stopAtEnd, m_str1, m_str2, m_str3, m_str4, m_str5, m_str6, m_str7, m_tkUseLocalHessian, m_tkUseNewtonComponent, m_totallyMute, QUESO::MiscReadDoublesFromString(), QUESO::BaseEnvironment::subDisplayFile(), QUESO::BaseEnvironment::subId(), QUESO::BaseEnvironment::subRank(), and QUESO::BaseEnvironment::worldRank().

Referenced by scanOptionsValues().

{
  char tmpStr[64];

  if (m_env.allOptionsMap().count(m_option_help.c_str())) {
    if (m_env.subDisplayFile()) {
      *m_env.subDisplayFile() << optionsDesc
                              << std::endl;
    }
  }

#ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
#else
  if (m_env.allOptionsMap().count(m_option_checkpointOutputFileName.c_str())) {
    m_checkpointOutputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_checkpointOutputFileName.c_str()]).as<std::string>();
  }
#endif

  if (m_env.allOptionsMap().count(m_option_stopAtEnd.c_str())) {
    m_stopAtEnd = ((const po::variable_value&) m_env.allOptionsMap()[m_option_stopAtEnd.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_dataOutputFileName.c_str())) {
    m_dataOutputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_dataOutputFileName.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_dataOutputAllowAll.c_str())) {
    m_dataOutputAllowAll = m_env.allOptionsMap()[m_option_dataOutputAllowAll].as<bool>();
  }

  if (m_dataOutputAllowAll) {
    m_dataOutputAllowedSet.insert(m_env.subId());
  }
  else if (m_env.allOptionsMap().count(m_option_dataOutputAllowedSet.c_str())) {
    m_dataOutputAllowedSet.clear();
    std::vector<double> tmpAllow(0,0.);
    std::string inputString = m_env.allOptionsMap()[m_option_dataOutputAllowedSet.c_str()].as<std::string>();
    MiscReadDoublesFromString(inputString,tmpAllow);

    if (tmpAllow.size() > 0) {
      for (unsigned int i = 0; i < tmpAllow.size(); ++i) {
        m_dataOutputAllowedSet.insert((unsigned int) tmpAllow[i]);
      }
    }
  }
  m_str1.clear();
  for (std::set<unsigned int>::iterator setIt = m_dataOutputAllowedSet.begin(); setIt != m_dataOutputAllowedSet.end(); ++setIt) {
    sprintf(tmpStr,"%d",(int)(*setIt));
    m_str1 += tmpStr;
    m_str1 += " ";
  }

  if (m_env.allOptionsMap().count(m_option_loadBalanceAlgorithmId.c_str())) {
    m_loadBalanceAlgorithmId = ((const po::variable_value&) m_env.allOptionsMap()[m_option_loadBalanceAlgorithmId.c_str()]).as<unsigned int>();
  }

  if (m_env.allOptionsMap().count(m_option_loadBalanceTreshold.c_str())) {
    m_loadBalanceTreshold = ((const po::variable_value&) m_env.allOptionsMap()[m_option_loadBalanceTreshold.c_str()]).as<double>();
  }

  if (m_env.allOptionsMap().count(m_option_minEffectiveSizeRatio.c_str())) {
    m_minEffectiveSizeRatio = ((const po::variable_value&) m_env.allOptionsMap()[m_option_minEffectiveSizeRatio.c_str()]).as<double>();
  }
  if (m_minEffectiveSizeRatio >= 1.) {
    std::cerr << "WARNING In MLSamplingLevelOptions::getMyOptionsValues()"
              << ", worldRank "             << m_env.worldRank()
              << ", fullRank "              << m_env.fullRank()
              << ", subEnvironment "        << m_env.subId()
              << ", subRank "               << m_env.subRank()
              << ", inter0Rank "            << m_env.inter0Rank()
              << ": forcing the value of '" << m_option_minEffectiveSizeRatio.c_str()
              << "' from "                  << m_minEffectiveSizeRatio
              << " to "                     << .5
              << std::endl;
    m_minEffectiveSizeRatio = .5;
  }

  if (m_env.allOptionsMap().count(m_option_maxEffectiveSizeRatio.c_str())) {
    m_maxEffectiveSizeRatio = ((const po::variable_value&) m_env.allOptionsMap()[m_option_maxEffectiveSizeRatio.c_str()]).as<double>();
  }
  if (m_maxEffectiveSizeRatio >= 1.) {
    std::cerr << "WARNING In MLSamplingLevelOptions::getMyOptionsValues()"
              << ", worldRank "             << m_env.worldRank()
              << ", fullRank "              << m_env.fullRank()
              << ", subEnvironment "        << m_env.subId()
              << ", subRank "               << m_env.subRank()
              << ", inter0Rank "            << m_env.inter0Rank()
              << ": forcing the value of '" << m_option_maxEffectiveSizeRatio.c_str()
              << "' from "                  << m_maxEffectiveSizeRatio
              << " to "                     << .5
              << std::endl;
    m_maxEffectiveSizeRatio = .5;
  }

  if (m_env.allOptionsMap().count(m_option_scaleCovMatrix.c_str())) {
    m_scaleCovMatrix = ((const po::variable_value&) m_env.allOptionsMap()[m_option_scaleCovMatrix.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_minRejectionRate.c_str())) {
    m_minRejectionRate = ((const po::variable_value&) m_env.allOptionsMap()[m_option_minRejectionRate.c_str()]).as<double>();
  }
  if (m_minRejectionRate >= 1.) {
    std::cerr << "WARNING In MLSamplingLevelOptions::getMyOptionsValues()"
              << ", worldRank "             << m_env.worldRank()
              << ", fullRank "              << m_env.fullRank()
              << ", subEnvironment "        << m_env.subId()
              << ", subRank "               << m_env.subRank()
              << ", inter0Rank "            << m_env.inter0Rank()
              << ": forcing the value of '" << m_option_minRejectionRate.c_str()
              << "' from "                  << m_minRejectionRate
              << " to "                     << .5
              << std::endl;
    m_minRejectionRate = .5;
  }

  if (m_env.allOptionsMap().count(m_option_maxRejectionRate.c_str())) {
    m_maxRejectionRate = ((const po::variable_value&) m_env.allOptionsMap()[m_option_maxRejectionRate.c_str()]).as<double>();
  }
  if (m_maxRejectionRate >= 1.) {
    std::cerr << "WARNING In MLSamplingLevelOptions::getMyOptionsValues()"
              << ", worldRank "             << m_env.worldRank()
              << ", fullRank "              << m_env.fullRank()
              << ", subEnvironment "        << m_env.subId()
              << ", subRank "               << m_env.subRank()
              << ", inter0Rank "            << m_env.inter0Rank()
              << ": forcing the value of '" << m_option_maxRejectionRate.c_str()
              << "' from "                  << m_maxRejectionRate
              << " to "                     << .5
              << std::endl;
    m_maxRejectionRate = .5;
  }

  if (m_env.allOptionsMap().count(m_option_covRejectionRate.c_str())) {
    m_covRejectionRate = ((const po::variable_value&) m_env.allOptionsMap()[m_option_covRejectionRate.c_str()]).as<double>();
  }
  if (m_covRejectionRate >= 1.) {
    std::cerr << "WARNING In MLSamplingLevelOptions::getMyOptionsValues()"
              << ", worldRank "             << m_env.worldRank()
              << ", fullRank "              << m_env.fullRank()
              << ", subEnvironment "        << m_env.subId()
              << ", subRank "               << m_env.subRank()
              << ", inter0Rank "            << m_env.inter0Rank()
              << ": forcing the value of '" << m_option_covRejectionRate.c_str()
              << "' from "                  << m_covRejectionRate
              << " to "                     << .5
              << std::endl;
    m_covRejectionRate = .5;
  }

  if (m_env.allOptionsMap().count(m_option_minAcceptableEta.c_str())) { // gpmsa1
    m_minAcceptableEta = ((const po::variable_value&) m_env.allOptionsMap()[m_option_minAcceptableEta.c_str()]).as<double>();
  }

  if (m_env.allOptionsMap().count(m_option_totallyMute.c_str())) {
    m_totallyMute = ((const po::variable_value&) m_env.allOptionsMap()[m_option_totallyMute.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_initialPosition_dataInputFileName.c_str())) {
    m_initialPositionDataInputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_initialPosition_dataInputFileName.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_initialPosition_dataInputFileType.c_str())) {
    m_initialPositionDataInputFileType = ((const po::variable_value&) m_env.allOptionsMap()[m_option_initialPosition_dataInputFileType.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_initialProposalCovMatrix_dataInputFileName.c_str())) {
    m_initialProposalCovMatrixDataInputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_initialProposalCovMatrix_dataInputFileName.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_initialProposalCovMatrix_dataInputFileType.c_str())) {
    m_initialProposalCovMatrixDataInputFileType = ((const po::variable_value&) m_env.allOptionsMap()[m_option_initialProposalCovMatrix_dataInputFileType.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_initialPositionUsePreviousLevelLikelihood.c_str())) {  // ml_likelihood_caching
    m_initialPositionUsePreviousLevelLikelihood = ((const po::variable_value&) m_env.allOptionsMap()[m_option_initialPositionUsePreviousLevelLikelihood.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_listOfDisabledParameters)) { // gpmsa2
    m_parameterDisabledSet.clear();
    std::vector<double> tmpAllow(0,0.);
    std::string inputString = m_env.allOptionsMap()[m_option_listOfDisabledParameters].as<std::string>();
    MiscReadDoublesFromString(inputString,tmpAllow);
    if (tmpAllow.size() > 0) {
      for (unsigned int i = 0; i < tmpAllow.size(); ++i) {
        m_parameterDisabledSet.insert((unsigned int) tmpAllow[i]);
      }
    }
  }
  m_str2.clear();
  for (std::set<unsigned int>::iterator setIt = m_parameterDisabledSet.begin(); setIt != m_parameterDisabledSet.end(); ++setIt) { // gpmsa2
    sprintf(tmpStr,"%d",(int)(*setIt));
    m_str2 += tmpStr;
    m_str2 += " ";
  }

  if (m_env.allOptionsMap().count(m_option_initialValuesOfDisabledParameters.c_str())) {
    std::string inputString = ((const po::variable_value&) m_env.allOptionsMap()[m_option_initialValuesOfDisabledParameters.c_str()]).as<std::string>();
    MiscReadDoublesFromString(inputString,m_initialValuesOfDisabledParameters);
    //if (m_env.subDisplayFile()) {
    //  *m_env.subDisplayFile() << "In MLSamplingLevelOptions::getMyOptionValues(): scales =";
    //  for (unsigned int i = 0; i < tmpValues.size(); ++i) {
    //    *m_env.subDisplayFile() << " " << tmpValues[i];
    //  }
    //  *m_env.subDisplayFile() << std::endl;
    //}

  }
  m_str3.clear();
  for (unsigned int i = 0; i < m_initialValuesOfDisabledParameters.size(); ++i) {
    sprintf(tmpStr,"%e",m_initialValuesOfDisabledParameters[i]);
    m_str3 += tmpStr;
    m_str3 += " ";
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_dataInputFileName.c_str())) {
    m_rawChainDataInputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_dataInputFileName.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_dataInputFileType.c_str())) {
    m_rawChainDataInputFileType = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_dataInputFileType.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_size.c_str())) {
    //std::cout << "In count()=true, rawChainSize = " << m_rawChainSize << std::endl;
    m_rawChainSize = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_size.c_str()]).as<unsigned int>();
  }
//std::cout << "After count(), rawChainSize = " << m_rawChainSize << std::endl;

  if (m_env.allOptionsMap().count(m_option_rawChain_displayPeriod.c_str())) {
    m_rawChainDisplayPeriod = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_displayPeriod.c_str()]).as<unsigned int>();
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_measureRunTimes.c_str())) {
    m_rawChainMeasureRunTimes = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_measureRunTimes.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_dataOutputPeriod.c_str())) {
    m_rawChainDataOutputPeriod = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_dataOutputPeriod.c_str()]).as<unsigned int>();
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_dataOutputFileName.c_str())) {
    m_rawChainDataOutputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_dataOutputFileName.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_dataOutputFileType.c_str())) {
    m_rawChainDataOutputFileType = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_dataOutputFileType.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_rawChain_dataOutputAllowAll.c_str())) {
    m_rawChainDataOutputAllowAll = m_env.allOptionsMap()[m_option_rawChain_dataOutputAllowAll].as<bool>();
  }

  if (m_rawChainDataOutputAllowAll) {
    m_rawChainDataOutputAllowedSet.insert(m_env.subId());
  }
  else if (m_env.allOptionsMap().count(m_option_rawChain_dataOutputAllowedSet.c_str())) {
    m_rawChainDataOutputAllowedSet.clear();
    std::vector<double> tmpAllow(0,0.);
    std::string inputString = m_env.allOptionsMap()[m_option_rawChain_dataOutputAllowedSet.c_str()].as<std::string>();
    MiscReadDoublesFromString(inputString,tmpAllow);

    if (tmpAllow.size() > 0) {
      for (unsigned int i = 0; i < tmpAllow.size(); ++i) {
        m_rawChainDataOutputAllowedSet.insert((unsigned int) tmpAllow[i]);
      }
    }
  }
  m_str4.clear();
  for (std::set<unsigned int>::iterator setIt = m_rawChainDataOutputAllowedSet.begin(); setIt != m_rawChainDataOutputAllowedSet.end(); ++setIt) {
    sprintf(tmpStr,"%d",(int)(*setIt));
    m_str4 += tmpStr;
    m_str4 += " ";
  }

#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  if (m_env.allOptionsMap().count(m_option_rawChain_computeStats.c_str())) {
    m_rawChainComputeStats = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_computeStats.c_str()]).as<bool>();
  }
#endif
  if (m_env.allOptionsMap().count(m_option_rawChain_generateExtra.c_str())) {
    m_rawChainGenerateExtra = ((const po::variable_value&) m_env.allOptionsMap()[m_option_rawChain_generateExtra.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_filteredChain_generate.c_str())) {
    m_filteredChainGenerate = ((const po::variable_value&) m_env.allOptionsMap()[m_option_filteredChain_generate.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_filteredChain_discardedPortion.c_str())) {
    m_filteredChainDiscardedPortion = ((const po::variable_value&) m_env.allOptionsMap()[m_option_filteredChain_discardedPortion.c_str()]).as<double>();
  }

  if (m_env.allOptionsMap().count(m_option_filteredChain_lag.c_str())) {
    m_filteredChainLag = ((const po::variable_value&) m_env.allOptionsMap()[m_option_filteredChain_lag.c_str()]).as<unsigned int>();
  }
  if ((m_filteredChainGenerate == true) &&
      (m_filteredChainLag      < 2    )) {
    std::cerr << "WARNING In MLSamplingLevelOptions::getMyOptionsValues()"
              << ", worldRank "             << m_env.worldRank()
              << ", fullRank "              << m_env.fullRank()
              << ", subEnvironment "        << m_env.subId()
              << ", subRank "               << m_env.subRank()
              << ", inter0Rank "            << m_env.inter0Rank()
              << ": forcing the value of '" << m_option_filteredChain_lag.c_str()
              << "' from "                  << m_filteredChainLag
              << " to "                     << 2
              << std::endl;
    m_filteredChainLag = 2;
  }

  if (m_env.allOptionsMap().count(m_option_filteredChain_dataOutputFileName.c_str())) {
    m_filteredChainDataOutputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_filteredChain_dataOutputFileName.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_filteredChain_dataOutputFileType.c_str())) {
    m_filteredChainDataOutputFileType = ((const po::variable_value&) m_env.allOptionsMap()[m_option_filteredChain_dataOutputFileType.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_filteredChain_dataOutputAllowAll.c_str())) {
    m_filteredChainDataOutputAllowAll = m_env.allOptionsMap()[m_option_filteredChain_dataOutputAllowAll].as<bool>();
  }

  if (m_filteredChainDataOutputAllowAll) {
    m_filteredChainDataOutputAllowedSet.insert(m_env.subId());
  }
  else if (m_env.allOptionsMap().count(m_option_filteredChain_dataOutputAllowedSet.c_str())) {
    m_filteredChainDataOutputAllowedSet.clear();
    std::vector<double> tmpAllow(0,0.);
    std::string inputString = m_env.allOptionsMap()[m_option_filteredChain_dataOutputAllowedSet.c_str()].as<std::string>();
    MiscReadDoublesFromString(inputString,tmpAllow);

    if (tmpAllow.size() > 0) {
      for (unsigned int i = 0; i < tmpAllow.size(); ++i) {
        m_filteredChainDataOutputAllowedSet.insert((unsigned int) tmpAllow[i]);
      }
    }
  }
  m_str5.clear();
  for (std::set<unsigned int>::iterator setIt = m_filteredChainDataOutputAllowedSet.begin(); setIt != m_filteredChainDataOutputAllowedSet.end(); ++setIt) {
    sprintf(tmpStr,"%d",(int)(*setIt));
    m_str5 += tmpStr;
    m_str5 += " ";
  }

#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  if (m_env.allOptionsMap().count(m_option_filteredChain_computeStats.c_str())) {
    m_filteredChainComputeStats = ((const po::variable_value&) m_env.allOptionsMap()[m_option_filteredChain_computeStats.c_str()]).as<bool>();
  }
#endif
  if (m_env.allOptionsMap().count(m_option_displayCandidates.c_str())) {
    m_displayCandidates = ((const po::variable_value&) m_env.allOptionsMap()[m_option_displayCandidates.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_putOutOfBoundsInChain.c_str())) {
    m_putOutOfBoundsInChain = ((const po::variable_value&) m_env.allOptionsMap()[m_option_putOutOfBoundsInChain.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_tk_useLocalHessian.c_str())) {
    m_tkUseLocalHessian = ((const po::variable_value&) m_env.allOptionsMap()[m_option_tk_useLocalHessian.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_tk_useNewtonComponent.c_str())) {
    m_tkUseNewtonComponent = ((const po::variable_value&) m_env.allOptionsMap()[m_option_tk_useNewtonComponent.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_dr_maxNumExtraStages.c_str())) {
    m_drMaxNumExtraStages = ((const po::variable_value&) m_env.allOptionsMap()[m_option_dr_maxNumExtraStages.c_str()]).as<unsigned int>();
  }

  std::vector<double> tmpScales(0,0.);
  if (m_env.allOptionsMap().count(m_option_dr_listOfScalesForExtraStages.c_str())) {
    std::string inputString = ((const po::variable_value&) m_env.allOptionsMap()[m_option_dr_listOfScalesForExtraStages.c_str()]).as<std::string>();
    MiscReadDoublesFromString(inputString,tmpScales);
    //if (m_env.subDisplayFile()) {
    //  *m_env.subDisplayFile() << "In MLSamplingLevelOptions::getMyOptionValues(): scales =";
    //  for (unsigned int i = 0; i < tmpScales.size(); ++i) {
    //    *m_env.subDisplayFile() << " " << tmpScales[i];
    //  }
    //  *m_env.subDisplayFile() << std::endl;
    //}
  }

  if (m_drMaxNumExtraStages > 0) {
    m_drScalesForExtraStages.clear();

    double scale = 1.0;
    unsigned int tmpSize = tmpScales.size();

    m_drScalesForExtraStages.resize(m_drMaxNumExtraStages,1.);

    for (unsigned int i = 0; i < m_drMaxNumExtraStages; ++i) {
      if (i < tmpSize) scale = tmpScales[i];
      m_drScalesForExtraStages[i] = scale;
    }
    //updateTK();
  }

  m_str6.clear();
  for (unsigned int i = 0; i < m_drScalesForExtraStages.size(); ++i) {
    sprintf(tmpStr,"%e",m_drScalesForExtraStages[i]);
    m_str6 += tmpStr;
    m_str6 += " ";
  }
//std::cout << "m_str6 = " << m_str4 << std::endl;

  if (m_env.allOptionsMap().count(m_option_dr_duringAmNonAdaptiveInt)) {
    m_drDuringAmNonAdaptiveInt = ((const po::variable_value&) m_env.allOptionsMap()[m_option_dr_duringAmNonAdaptiveInt]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_am_keepInitialMatrix.c_str())) {
    m_amKeepInitialMatrix = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_keepInitialMatrix.c_str()]).as<bool>();
  }

  if (m_env.allOptionsMap().count(m_option_am_initialNonAdaptInterval.c_str())) {
    m_amInitialNonAdaptInterval = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_initialNonAdaptInterval.c_str()]).as<unsigned int>();
  }

  if (m_env.allOptionsMap().count(m_option_am_adaptInterval.c_str())) {
    m_amAdaptInterval = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_adaptInterval.c_str()]).as<unsigned int>();
  }

  if (m_env.allOptionsMap().count(m_option_am_adaptedMatrices_dataOutputPeriod.c_str())) {
    m_amAdaptedMatricesDataOutputPeriod = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_adaptedMatrices_dataOutputPeriod.c_str()]).as<unsigned int>();
  }

  if (m_env.allOptionsMap().count(m_option_am_adaptedMatrices_dataOutputFileName.c_str())) {
    m_amAdaptedMatricesDataOutputFileName = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_adaptedMatrices_dataOutputFileName.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_am_adaptedMatrices_dataOutputFileType.c_str())) {
    m_amAdaptedMatricesDataOutputFileType = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_adaptedMatrices_dataOutputFileType.c_str()]).as<std::string>();
  }

  if (m_env.allOptionsMap().count(m_option_am_adaptedMatrices_dataOutputAllowAll.c_str())) {
    m_amAdaptedMatricesDataOutputAllowAll = m_env.allOptionsMap()[m_option_am_adaptedMatrices_dataOutputAllowAll].as<bool>();
  }

  if (m_amAdaptedMatricesDataOutputAllowAll) {
    m_amAdaptedMatricesDataOutputAllowedSet.insert(m_env.subId());
  }
  else if (m_env.allOptionsMap().count(m_option_am_adaptedMatrices_dataOutputAllowedSet.c_str())) {
    m_amAdaptedMatricesDataOutputAllowedSet.clear();
    std::vector<double> tmpAllow(0,0.);
    std::string inputString = m_env.allOptionsMap()[m_option_am_adaptedMatrices_dataOutputAllowedSet.c_str()].as<std::string>();
    MiscReadDoublesFromString(inputString,tmpAllow);

    if (tmpAllow.size() > 0) {
      for (unsigned int i = 0; i < tmpAllow.size(); ++i) {
        m_amAdaptedMatricesDataOutputAllowedSet.insert((unsigned int) tmpAllow[i]);
      }
    }
  }
  m_str7.clear();
  for (std::set<unsigned int>::iterator setIt = m_amAdaptedMatricesDataOutputAllowedSet.begin(); setIt != m_amAdaptedMatricesDataOutputAllowedSet.end(); ++setIt) {
    sprintf(tmpStr,"%d",(int)(*setIt));
    m_str7 += tmpStr;
    m_str7 += " ";
  }

  if (m_env.allOptionsMap().count(m_option_am_eta.c_str())) {
    m_amEta = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_eta.c_str()]).as<double>();
  }

  if (m_env.allOptionsMap().count(m_option_am_epsilon.c_str())) {
    m_amEpsilon = ((const po::variable_value&) m_env.allOptionsMap()[m_option_am_epsilon.c_str()]).as<double>();
  }

  if (m_env.allOptionsMap().count(m_option_doLogitTransform.c_str())) {
    m_doLogitTransform = ((const po::variable_value&) m_env.allOptionsMap()[m_option_doLogitTransform.c_str()]).as<bool>();
  }
}

void QUESO::MLSamplingLevelOptions::print

(

std::ostream &

os

)

const

It prints the option values.

Definition at line 867 of file MLSamplingLevelOptions.C.

References m_amAdaptedMatricesDataOutputAllowAll, m_amAdaptedMatricesDataOutputAllowedSet, m_amAdaptedMatricesDataOutputFileName, m_amAdaptedMatricesDataOutputFileType, m_amAdaptedMatricesDataOutputPeriod, m_amAdaptInterval, m_amEpsilon, m_amEta, m_amInitialNonAdaptInterval, m_amKeepInitialMatrix, m_checkpointOutputFileName, m_covRejectionRate, m_dataOutputAllowAll, m_dataOutputAllowedSet, m_dataOutputFileName, m_displayCandidates, m_doLogitTransform, m_drDuringAmNonAdaptiveInt, m_drMaxNumExtraStages, m_drScalesForExtraStages, m_filteredChainDataOutputAllowAll, m_filteredChainDataOutputAllowedSet, m_filteredChainDataOutputFileName, m_filteredChainDataOutputFileType, m_filteredChainDiscardedPortion, m_filteredChainGenerate, m_filteredChainLag, m_initialPositionDataInputFileName, m_initialPositionDataInputFileType, m_initialPositionUsePreviousLevelLikelihood, m_initialProposalCovMatrixDataInputFileName, m_initialProposalCovMatrixDataInputFileType, m_initialValuesOfDisabledParameters, m_loadBalanceAlgorithmId, m_loadBalanceTreshold, m_maxEffectiveSizeRatio, m_maxRejectionRate, m_minAcceptableEta, m_minEffectiveSizeRatio, m_minRejectionRate, m_option_am_adaptedMatrices_dataOutputAllowAll, m_option_am_adaptedMatrices_dataOutputAllowedSet, m_option_am_adaptedMatrices_dataOutputFileName, m_option_am_adaptedMatrices_dataOutputFileType, m_option_am_adaptedMatrices_dataOutputPeriod, m_option_am_adaptInterval, m_option_am_epsilon, m_option_am_eta, m_option_am_initialNonAdaptInterval, m_option_am_keepInitialMatrix, m_option_checkpointOutputFileName, m_option_covRejectionRate, m_option_dataOutputAllowAll, m_option_dataOutputAllowedSet, m_option_dataOutputFileName, m_option_displayCandidates, m_option_doLogitTransform, m_option_dr_duringAmNonAdaptiveInt, m_option_dr_listOfScalesForExtraStages, m_option_dr_maxNumExtraStages, m_option_filteredChain_dataOutputAllowAll, m_option_filteredChain_dataOutputAllowedSet, m_option_filteredChain_dataOutputFileName, m_option_filteredChain_dataOutputFileType, m_option_filteredChain_discardedPortion, m_option_filteredChain_generate, m_option_filteredChain_lag, m_option_initialPosition_dataInputFileName, m_option_initialPosition_dataInputFileType, m_option_initialPositionUsePreviousLevelLikelihood, m_option_initialProposalCovMatrix_dataInputFileName, m_option_initialProposalCovMatrix_dataInputFileType, m_option_initialValuesOfDisabledParameters, m_option_listOfDisabledParameters, m_option_loadBalanceAlgorithmId, m_option_loadBalanceTreshold, m_option_maxEffectiveSizeRatio, m_option_maxRejectionRate, m_option_minAcceptableEta, m_option_minEffectiveSizeRatio, m_option_minRejectionRate, m_option_putOutOfBoundsInChain, m_option_rawChain_dataInputFileName, m_option_rawChain_dataInputFileType, m_option_rawChain_dataOutputAllowAll, m_option_rawChain_dataOutputAllowedSet, m_option_rawChain_dataOutputFileName, m_option_rawChain_dataOutputFileType, m_option_rawChain_dataOutputPeriod, m_option_rawChain_displayPeriod, m_option_rawChain_generateExtra, m_option_rawChain_measureRunTimes, m_option_rawChain_size, m_option_scaleCovMatrix, m_option_stopAtEnd, m_option_tk_useLocalHessian, m_option_tk_useNewtonComponent, m_option_totallyMute, m_parameterDisabledSet, m_prefix, m_putOutOfBoundsInChain, m_rawChainDataInputFileName, m_rawChainDataInputFileType, m_rawChainDataOutputAllowAll, m_rawChainDataOutputAllowedSet, m_rawChainDataOutputFileName, m_rawChainDataOutputFileType, m_rawChainDataOutputPeriod, m_rawChainDisplayPeriod, m_rawChainGenerateExtra, m_rawChainMeasureRunTimes, m_rawChainSize, m_scaleCovMatrix, m_stopAtEnd, m_tkUseLocalHessian, m_tkUseNewtonComponent, and m_totallyMute.

Referenced by QUESO::operator<<().

{
  os <<        "m_prefix"                         << " = " << m_prefix
#ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
#else
     << "\n" << m_option_checkpointOutputFileName << " = " << m_checkpointOutputFileName
#endif
     << "\n" << m_option_stopAtEnd                << " = " << m_stopAtEnd
     << "\n" << m_option_dataOutputFileName       << " = " << m_dataOutputFileName
     << "\n" << m_option_dataOutputAllowAll       << " = " << m_dataOutputAllowAll
     << "\n" << m_option_dataOutputAllowedSet     << " = ";
  for (std::set<unsigned int>::iterator setIt = m_dataOutputAllowedSet.begin(); setIt != m_dataOutputAllowedSet.end(); ++setIt) {
    os << *setIt << " ";
  }
  os << "\n" << m_option_loadBalanceAlgorithmId                     << " = " << m_loadBalanceAlgorithmId
     << "\n" << m_option_loadBalanceTreshold                        << " = " << m_loadBalanceTreshold
     << "\n" << m_option_minEffectiveSizeRatio                      << " = " << m_minEffectiveSizeRatio
     << "\n" << m_option_maxEffectiveSizeRatio                      << " = " << m_maxEffectiveSizeRatio
     << "\n" << m_option_scaleCovMatrix                             << " = " << m_scaleCovMatrix
     << "\n" << m_option_minRejectionRate                           << " = " << m_minRejectionRate
     << "\n" << m_option_maxRejectionRate                           << " = " << m_maxRejectionRate
     << "\n" << m_option_covRejectionRate                           << " = " << m_covRejectionRate
     << "\n" << m_option_minAcceptableEta                           << " = " << m_minAcceptableEta // gpmsa1
     << "\n" << m_option_totallyMute                                << " = " << m_totallyMute
     << "\n" << m_option_initialPosition_dataInputFileName          << " = " << m_initialPositionDataInputFileName
     << "\n" << m_option_initialPosition_dataInputFileType          << " = " << m_initialPositionDataInputFileType
     << "\n" << m_option_initialProposalCovMatrix_dataInputFileName << " = " << m_initialProposalCovMatrixDataInputFileName
     << "\n" << m_option_initialProposalCovMatrix_dataInputFileType << " = " << m_initialProposalCovMatrixDataInputFileType
     << "\n" << m_option_initialPositionUsePreviousLevelLikelihood  << " = " << m_initialPositionUsePreviousLevelLikelihood
     << "\n" << m_option_listOfDisabledParameters                   << " = "; // gpmsa2
  for (std::set<unsigned int>::iterator setIt = m_parameterDisabledSet.begin(); setIt != m_parameterDisabledSet.end(); ++setIt) {
    os << *setIt << " ";
  }
  os << "\n" << m_option_initialValuesOfDisabledParameters          << " = "; // gpmsa2
  for (unsigned int i = 0; i < m_initialValuesOfDisabledParameters.size(); ++i) {
    os << m_initialValuesOfDisabledParameters[i] << " ";
  }
  os << "\n" << m_option_rawChain_dataInputFileName                 << " = " << m_rawChainDataInputFileName
     << "\n" << m_option_rawChain_dataInputFileType                 << " = " << m_rawChainDataInputFileType
     << "\n" << m_option_rawChain_size                              << " = " << m_rawChainSize
     << "\n" << m_option_rawChain_generateExtra                     << " = " << m_rawChainGenerateExtra
     << "\n" << m_option_rawChain_displayPeriod                     << " = " << m_rawChainDisplayPeriod
     << "\n" << m_option_rawChain_measureRunTimes                   << " = " << m_rawChainMeasureRunTimes
     << "\n" << m_option_rawChain_dataOutputPeriod                  << " = " << m_rawChainDataOutputPeriod
     << "\n" << m_option_rawChain_dataOutputFileName                << " = " << m_rawChainDataOutputFileName
     << "\n" << m_option_rawChain_dataOutputFileType                << " = " << m_rawChainDataOutputFileType
     << "\n" << m_option_rawChain_dataOutputAllowAll                << " = " << m_rawChainDataOutputAllowAll
     << "\n" << m_option_rawChain_dataOutputAllowedSet              << " = ";
  for (std::set<unsigned int>::iterator setIt = m_rawChainDataOutputAllowedSet.begin(); setIt != m_rawChainDataOutputAllowedSet.end(); ++setIt) {
    os << *setIt << " ";
  }
  os
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
     << "\n" << m_option_rawChain_computeStats                      << " = " << m_rawChainComputeStats
#endif
     << "\n" << m_option_filteredChain_generate                     << " = " << m_filteredChainGenerate
     << "\n" << m_option_filteredChain_discardedPortion             << " = " << m_filteredChainDiscardedPortion
     << "\n" << m_option_filteredChain_lag                          << " = " << m_filteredChainLag
     << "\n" << m_option_filteredChain_dataOutputFileName           << " = " << m_filteredChainDataOutputFileName
     << "\n" << m_option_filteredChain_dataOutputFileType           << " = " << m_filteredChainDataOutputFileType
     << "\n" << m_option_filteredChain_dataOutputAllowAll           << " = " << m_filteredChainDataOutputAllowAll
     << "\n" << m_option_filteredChain_dataOutputAllowedSet         << " = ";
  for (std::set<unsigned int>::iterator setIt = m_filteredChainDataOutputAllowedSet.begin(); setIt != m_filteredChainDataOutputAllowedSet.end(); ++setIt) {
    os << *setIt << " ";
  }
  os
#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
     << "\n" << m_option_filteredChain_computeStats                 << " = " << m_filteredChainComputeStats
#endif
     << "\n" << m_option_displayCandidates                          << " = " << m_displayCandidates
     << "\n" << m_option_putOutOfBoundsInChain                      << " = " << m_putOutOfBoundsInChain
     << "\n" << m_option_tk_useLocalHessian                         << " = " << m_tkUseLocalHessian
     << "\n" << m_option_tk_useNewtonComponent                      << " = " << m_tkUseNewtonComponent
     << "\n" << m_option_dr_maxNumExtraStages                       << " = " << m_drMaxNumExtraStages
     << "\n" << m_option_dr_listOfScalesForExtraStages              << " = ";
  for (unsigned int i = 0; i < m_drScalesForExtraStages.size(); ++i) {
    os << m_drScalesForExtraStages[i] << " ";
  }
  os << "\n" << m_option_dr_duringAmNonAdaptiveInt                  << " = " << m_drDuringAmNonAdaptiveInt
     << "\n" << m_option_am_keepInitialMatrix                       << " = " << m_amKeepInitialMatrix
     << "\n" << m_option_am_initialNonAdaptInterval                 << " = " << m_amInitialNonAdaptInterval
     << "\n" << m_option_am_adaptInterval                           << " = " << m_amAdaptInterval
     << "\n" << m_option_am_adaptedMatrices_dataOutputPeriod        << " = " << m_amAdaptedMatricesDataOutputPeriod
     << "\n" << m_option_am_adaptedMatrices_dataOutputFileName      << " = " << m_amAdaptedMatricesDataOutputFileName
     << "\n" << m_option_am_adaptedMatrices_dataOutputFileType      << " = " << m_amAdaptedMatricesDataOutputFileType
     << "\n" << m_option_am_adaptedMatrices_dataOutputAllowAll      << " = " << m_amAdaptedMatricesDataOutputAllowAll
     << "\n" << m_option_am_adaptedMatrices_dataOutputAllowedSet    << " = ";
  for (std::set<unsigned int>::iterator setIt = m_amAdaptedMatricesDataOutputAllowedSet.begin(); setIt != m_amAdaptedMatricesDataOutputAllowedSet.end(); ++setIt) {
    os << *setIt << " ";
  }
  os << "\n" << m_option_am_eta                                     << " = " << m_amEta
     << "\n" << m_option_am_epsilon                                 << " = " << m_amEpsilon
     << "\n" << m_option_doLogitTransform                           << " = " << m_doLogitTransform
     << std::endl;

  return;
}

void QUESO::MLSamplingLevelOptions::scanOptionsValues

(

const MLSamplingLevelOptions *

defaultOptions

)

It scans the option values from the options input file.

Definition at line 286 of file MLSamplingLevelOptions.C.

References copyOptionsValues(), defineMyOptions(), getMyOptionValues(), m_env, m_optionsDesc, m_prefix, QUESO::BaseEnvironment::scanInputFileForMyOptions(), and QUESO::BaseEnvironment::subDisplayFile().

Referenced by QUESO::MLSampling< P_V, P_M >::generateSequence().

{
  if (m_optionsDesc == NULL) m_optionsDesc = new po::options_description("Multilevel sampling level options");
  if (defaultOptions) this->copyOptionsValues(*defaultOptions);

  defineMyOptions                (*m_optionsDesc);
  m_env.scanInputFileForMyOptions(*m_optionsDesc);
  getMyOptionValues              (*m_optionsDesc);

  if ((m_env.subDisplayFile() != NULL ) &&
      (1)) { //m_totallyMute          == false)) {
    *m_env.subDisplayFile() << "In MLSamplingLevelOptions::scanOptionsValues()"
                            << ": after getting values of options with prefix '" << m_prefix
                            << "', state of object is:"
                            << "\n" << *this
                            << std::endl;
  }

#ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
  if (m_rawChainComputeStats) {
    m_rawChainStatisticalOptionsObj = new SequenceStatisticalOptions(m_env,m_prefix + "rawChain_");
    m_rawChainStatOptsInstantiated  = true;
  }
  if (m_filteredChainComputeStats) {
    m_filteredChainStatisticalOptionsObj = new SequenceStatisticalOptions(m_env,m_prefix + "filteredChain_");
    m_filteredChainStatOptsInstantiated  = true;
  }
#endif
  return;
}

Member Data Documentation

bool QUESO::MLSamplingLevelOptions::m_amAdaptedMatricesDataOutputAllowAll

Whether or not subEnvs will write to output file for 'am' adapted matrices.

Definition at line 329 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::set<unsigned int> QUESO::MLSamplingLevelOptions::m_amAdaptedMatricesDataOutputAllowedSet

subEnvs that will write to output file for 'am' adapted matrices.

Definition at line 332 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_amAdaptedMatricesDataOutputFileName

Name of output file for 'am' adapted matrices.

Definition at line 323 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_amAdaptedMatricesDataOutputFileType

Type of output file for 'am' adapted matrices.

Definition at line 326 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_amAdaptedMatricesDataOutputPeriod

Period for outputing 'am' adapted matrices.

Definition at line 320 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_amAdaptInterval

'am' adaptation interval.

Definition at line 317 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

double QUESO::MLSamplingLevelOptions::m_amEpsilon

'am' epsilon.

Definition at line 341 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

double QUESO::MLSamplingLevelOptions::m_amEta

'am' eta.

Definition at line 338 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_amInitialNonAdaptInterval

'am' initial non adaptation interval

Definition at line 314 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_amKeepInitialMatrix

Whether or not 'am' will keep initial (given) matrix.

Definition at line 311 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_checkpointOutputFileName

Name of checkpoint output file.

Definition at line 150 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), and print().

double QUESO::MLSamplingLevelOptions::m_covRejectionRate

c.o.v. for judging attempted rejection rate at current level.

Definition at line 189 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), getMyOptionValues(), and print().

bool QUESO::MLSamplingLevelOptions::m_dataOutputAllowAll

subEnvs that will write to generic output file.

Definition at line 159 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::set<unsigned int> QUESO::MLSamplingLevelOptions::m_dataOutputAllowedSet

subEnvs that will write to generic output file.

Definition at line 162 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_dataOutputFileName

Name of generic output file.

Definition at line 156 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_displayCandidates

Display candidates generated in the core MH algorithm.

Definition at line 289 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_doLogitTransform

Whether or not a logit transform will be done for bounded domains.

Definition at line 344 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_drDuringAmNonAdaptiveInt

Whether or not 'dr' is used during 'am' non adaptive interval.

Definition at line 308 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_drMaxNumExtraStages

'dr' maximum number of extra stages.

Definition at line 301 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::vector<double> QUESO::MLSamplingLevelOptions::m_drScalesForExtraStages

'dr' list of scales for proposal covariance matrices from 2nd stage on.

Definition at line 304 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

const BaseEnvironment& QUESO::MLSamplingLevelOptions::m_env

private

Definition at line 356 of file MLSamplingLevelOptions.h.

Referenced by env(), getMyOptionValues(), and scanOptionsValues().

bool QUESO::MLSamplingLevelOptions::m_filteredChainDataOutputAllowAll

Whether or not subEnvs will write to output file for filtered chain.

Definition at line 276 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::set<unsigned int> QUESO::MLSamplingLevelOptions::m_filteredChainDataOutputAllowedSet

subEnvs that will write to output file for filtered chain.

Definition at line 279 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_filteredChainDataOutputFileName

Name of output file for filtered chain.

Definition at line 270 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_filteredChainDataOutputFileType

Type of output file for filtered chain.

Definition at line 273 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

double QUESO::MLSamplingLevelOptions::m_filteredChainDiscardedPortion

Initial discarded portion for chain filtering.

Definition at line 264 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_filteredChainGenerate

Whether or not to generate filtered chain.

Definition at line 261 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step10_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_filteredChainLag

Spacing for chain filtering.

Definition at line 267 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_initialPositionDataInputFileName

Name of input file for initial position.

Definition at line 199 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_initialPositionDataInputFileType

Type of input file for initial position.

Definition at line 202 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_initialPositionUsePreviousLevelLikelihood

Use previous level likelihood for initial chain position instead of re-computing it from target pdf.

Definition at line 211 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateBalLinkedChains_all(), QUESO::MLSampling< P_V, P_M >::generateUnbLinkedChains_all(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_initialProposalCovMatrixDataInputFileName

Name of input file for initial proposal covariance matrix.

Definition at line 205 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_initialProposalCovMatrixDataInputFileType

Type of input file for initial proposal covariance matrix.

Definition at line 208 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::vector<double> QUESO::MLSamplingLevelOptions::m_initialValuesOfDisabledParameters

Definition at line 216 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), getMyOptionValues(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_loadBalanceAlgorithmId

Perform load balancing with chosen algorithm (0 = no balancing).

Definition at line 168 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), QUESO::MLSampling< P_V, P_M >::decideOnBalancedChains_all(), defineMyOptions(), getMyOptionValues(), QUESO::MLSampling< P_V, P_M >::prepareBalLinkedChains_inter0(), and print().

double QUESO::MLSamplingLevelOptions::m_loadBalanceTreshold

Perform load balancing if load unbalancing ratio > threshold.

Definition at line 171 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), QUESO::MLSampling< P_V, P_M >::decideOnBalancedChains_all(), defineMyOptions(), getMyOptionValues(), QUESO::MLSampling< P_V, P_M >::justBalance_proc0(), and print().

double QUESO::MLSamplingLevelOptions::m_maxEffectiveSizeRatio

Maximum allowed effective size ratio wrt previous level.

Definition at line 177 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step03_inter0(), getMyOptionValues(), and print().

double QUESO::MLSamplingLevelOptions::m_maxRejectionRate

maximum allowed attempted rejection rate at current level.

Definition at line 186 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), getMyOptionValues(), and print().

double QUESO::MLSamplingLevelOptions::m_minAcceptableEta

minimum acceptable eta,

Used in the GPMSA code.

Definition at line 193 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence(), getMyOptionValues(), and print().

double QUESO::MLSamplingLevelOptions::m_minEffectiveSizeRatio

Minimum allowed effective size ratio wrt previous level.

Definition at line 174 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step03_inter0(), getMyOptionValues(), and print().

double QUESO::MLSamplingLevelOptions::m_minRejectionRate

minimum allowed attempted rejection rate at current level

Definition at line 183 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_adaptedMatrices_dataOutputAllowAll

private

Definition at line 425 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_adaptedMatrices_dataOutputAllowedSet

private

Definition at line 426 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_adaptedMatrices_dataOutputFileName

private

Definition at line 423 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_adaptedMatrices_dataOutputFileType

private

Definition at line 424 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_adaptedMatrices_dataOutputPeriod

private

Definition at line 422 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_adaptInterval

private

Definition at line 421 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_epsilon

private

Definition at line 428 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_eta

private

Definition at line 427 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_initialNonAdaptInterval

private

Definition at line 420 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_am_keepInitialMatrix

private

Definition at line 419 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_checkpointOutputFileName

private

Definition at line 363 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_covRejectionRate

private

Definition at line 376 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_dataOutputAllowAll

private

Definition at line 367 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_dataOutputAllowedSet

private

Definition at line 368 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_dataOutputFileName

private

Definition at line 366 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_displayCandidates

private

Definition at line 412 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_doLogitTransform

private

Definition at line 429 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_dr_duringAmNonAdaptiveInt

private

Definition at line 418 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_dr_listOfScalesForExtraStages

private

Definition at line 417 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_dr_maxNumExtraStages

private

Definition at line 416 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_filteredChain_dataOutputAllowAll

private

Definition at line 406 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_filteredChain_dataOutputAllowedSet

private

Definition at line 407 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_filteredChain_dataOutputFileName

private

Definition at line 404 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_filteredChain_dataOutputFileType

private

Definition at line 405 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_filteredChain_discardedPortion

private

Definition at line 402 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_filteredChain_generate

private

Definition at line 401 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_filteredChain_lag

private

Definition at line 403 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_help

private

Definition at line 359 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), and getMyOptionValues().

std::string QUESO::MLSamplingLevelOptions::m_option_initialPosition_dataInputFileName

private

Definition at line 379 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_initialPosition_dataInputFileType

private

Definition at line 380 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_initialPositionUsePreviousLevelLikelihood

private

Definition at line 383 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_initialProposalCovMatrix_dataInputFileName

private

Definition at line 381 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_initialProposalCovMatrix_dataInputFileType

private

Definition at line 382 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_initialValuesOfDisabledParameters

private

Definition at line 385 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_listOfDisabledParameters

private

Definition at line 384 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_loadBalanceAlgorithmId

private

Definition at line 369 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_loadBalanceTreshold

private

Definition at line 370 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_maxEffectiveSizeRatio

private

Definition at line 372 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_maxRejectionRate

private

Definition at line 375 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_minAcceptableEta

private

Definition at line 377 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_minEffectiveSizeRatio

private

Definition at line 371 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_minRejectionRate

private

Definition at line 374 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_putOutOfBoundsInChain

private

Definition at line 413 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_dataInputFileName

private

Definition at line 386 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_dataInputFileType

private

Definition at line 387 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_dataOutputAllowAll

private

Definition at line 395 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_dataOutputAllowedSet

private

Definition at line 396 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_dataOutputFileName

private

Definition at line 393 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_dataOutputFileType

private

Definition at line 394 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_dataOutputPeriod

private

Definition at line 392 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_displayPeriod

private

Definition at line 390 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_generateExtra

private

Definition at line 389 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_measureRunTimes

private

Definition at line 391 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_rawChain_size

private

Definition at line 388 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_scaleCovMatrix

private

Definition at line 373 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_stopAtEnd

private

Definition at line 365 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_tk_useLocalHessian

private

Definition at line 414 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_tk_useNewtonComponent

private

Definition at line 415 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_option_totallyMute

private

Definition at line 378 of file MLSamplingLevelOptions.h.

Referenced by defineMyOptions(), getMyOptionValues(), and print().

po::options_description* QUESO::MLSamplingLevelOptions::m_optionsDesc

private

Definition at line 357 of file MLSamplingLevelOptions.h.

Referenced by scanOptionsValues(), and ~MLSamplingLevelOptions().

std::set<unsigned int> QUESO::MLSamplingLevelOptions::m_parameterDisabledSet

Definition at line 214 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), QUESO::MLSampling< P_V, P_M >::generateSequence(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_prefix

Definition at line 145 of file MLSamplingLevelOptions.h.

Referenced by QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step02_inter0(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), print(), and scanOptionsValues().

bool QUESO::MLSamplingLevelOptions::m_putOutOfBoundsInChain

Put 'out of bound' candidates in chain as well.

Definition at line 292 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_rawChainDataInputFileName

Name of input file for raw chain.

Definition at line 220 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_rawChainDataInputFileType

Type of input file for raw chain.

Definition at line 224 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_rawChainDataOutputAllowAll

Whether or not subEnvs will write to output file for raw chain.

Definition at line 248 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::set<unsigned int> QUESO::MLSamplingLevelOptions::m_rawChainDataOutputAllowedSet

subEnvs that will write to output file for raw chain.

Definition at line 251 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_rawChainDataOutputFileName

Name of output file for raw chain.

Definition at line 242 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

std::string QUESO::MLSamplingLevelOptions::m_rawChainDataOutputFileType

Type of output file for raw chain.

Definition at line 245 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step11_inter0(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_rawChainDataOutputPeriod

Period of message display during raw chain generation.

Definition at line 239 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_rawChainDisplayPeriod

Period of message display during raw chain generation.

Definition at line 233 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_rawChainGenerateExtra

Generate extra information about raw chain.

Definition at line 230 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_rawChainMeasureRunTimes

Whether or not to measure run times.

Definition at line 236 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

unsigned int QUESO::MLSamplingLevelOptions::m_rawChainSize

Size of raw chain.

Definition at line 227 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateBalLinkedChains_all(), QUESO::MLSampling< P_V, P_M >::generateSequence(), QUESO::MLSampling< P_V, P_M >::generateSequence_Level0_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step01_inter0(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step10_all(), QUESO::MLSampling< P_V, P_M >::generateUnbLinkedChains_all(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_scaleCovMatrix

Whether or not scale proposal covariance matrix.

Definition at line 180 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), getMyOptionValues(), and print().

bool QUESO::MLSamplingLevelOptions::m_stopAtEnd

Stop at end of such level.

Definition at line 153 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence(), getMyOptionValues(), and print().

std::string QUESO::MLSamplingLevelOptions::m_str1

subEnvs that will write to generic output file.

Definition at line 165 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), and getMyOptionValues().

std::string QUESO::MLSamplingLevelOptions::m_str2

Definition at line 215 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), and getMyOptionValues().

std::string QUESO::MLSamplingLevelOptions::m_str3

Definition at line 217 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), and getMyOptionValues().

std::string QUESO::MLSamplingLevelOptions::m_str4

Definition at line 253 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), and getMyOptionValues().

std::string QUESO::MLSamplingLevelOptions::m_str5

Definition at line 280 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), and getMyOptionValues().

std::string QUESO::MLSamplingLevelOptions::m_str6

Definition at line 305 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), and getMyOptionValues().

std::string QUESO::MLSamplingLevelOptions::m_str7

Definition at line 335 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), and getMyOptionValues().

bool QUESO::MLSamplingLevelOptions::m_tkUseLocalHessian

Whether or not 'proposal' uses local Hessian.

Definition at line 295 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_tkUseNewtonComponent

Whether or not 'proposal' uses Newton component.

Definition at line 298 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

bool QUESO::MLSamplingLevelOptions::m_totallyMute

Whether or not to be totally mute (no printout message).

Definition at line 196 of file MLSamplingLevelOptions.h.

Referenced by copyOptionsValues(), defineMyOptions(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step09_all(), QUESO::MLSampling< P_V, P_M >::generateSequence_Step10_all(), getMyOptionValues(), QUESO::MetropolisHastingsSGOptions::MetropolisHastingsSGOptions(), and print().

---

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

• src/stats/inc/MLSamplingLevelOptions.h
• src/stats/src/MLSamplingLevelOptions.C