queso-0.52.0
MLSamplingLevelOptions.h
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2 //--------------------------------------------------------------------------
3 //
4 // QUESO - a library to support the Quantification of Uncertainty
5 // for Estimation, Simulation and Optimization
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23 //-----------------------------------------------------------------------el-
24 
25 #ifndef UQ_MULTI_LEVEL_SAMPLING_LEVEL_OPTIONS_H
26 #define UQ_MULTI_LEVEL_SAMPLING_LEVEL_OPTIONS_H
27 
28 #define LEVEL_REF_ID 0
29 
30 #include <queso/Environment.h>
31 #include <queso/SequenceStatisticalOptions.h>
32 #define UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE "."
33 
34 // _ODV = option default value
35 #ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
36 #else
37 #define UQ_ML_SAMPLING_L_CHECKPOINT_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
38 #endif
39 #define UQ_ML_SAMPLING_L_STOP_AT_END_ODV 0
40 #define UQ_ML_SAMPLING_L_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
41 #define UQ_ML_SAMPLING_L_DATA_OUTPUT_ALLOW_ALL_ODV 0
42 #define UQ_ML_SAMPLING_L_DATA_OUTPUT_ALLOWED_SET_ODV ""
43 #define UQ_ML_SAMPLING_L_LOAD_BALANCE_ALGORITHM_ID_ODV 2
44 #define UQ_ML_SAMPLING_L_LOAD_BALANCE_TRESHOLD_ODV 1.
45 #define UQ_ML_SAMPLING_L_MIN_EFFECTIVE_SIZE_RATIO_ODV 0.85
46 #define UQ_ML_SAMPLING_L_MAX_EFFECTIVE_SIZE_RATIO_ODV 0.91
47 #define UQ_ML_SAMPLING_L_SCALE_COV_MATRIX_ODV 1
48 #define UQ_ML_SAMPLING_L_MIN_REJECTION_RATE_ODV 0.50
49 #define UQ_ML_SAMPLING_L_MAX_REJECTION_RATE_ODV 0.75
50 #define UQ_ML_SAMPLING_L_COV_REJECTION_RATE_ODV 0.25
51 #define UQ_ML_SAMPLING_L_MIN_ACCEPTABLE_ETA_ODV 0.
52 #define UQ_ML_SAMPLING_L_TOTALLY_MUTE_ODV 1
53 #define UQ_ML_SAMPLING_L_INITIAL_POSITION_DATA_INPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
54 #define UQ_ML_SAMPLING_L_INITIAL_POSITION_DATA_INPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
55 #define UQ_ML_SAMPLING_L_INITIAL_PROPOSAL_COV_MATRIX_DATA_INPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
56 #define UQ_ML_SAMPLING_L_INITIAL_PROPOSAL_COV_MATRIX_DATA_INPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
57 #define UQ_ML_SAMPLING_L_INITIAL_POSITION_USE_PREVIOUS_LEVEL_LIKELIHOOD_ODV 0
58 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_INPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
59 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_INPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
60 #define UQ_ML_SAMPLING_L_LIST_OF_DISABLED_PARAMETERS_ODV ""
61 #define UQ_ML_SAMPLING_L_INITIAL_VALUES_OF_DISABLED_PARAMETERS_ODV ""
62 #define UQ_ML_SAMPLING_L_RAW_CHAIN_SIZE_ODV 100
63 #define UQ_ML_SAMPLING_L_RAW_CHAIN_GENERATE_EXTRA_ODV 0
64 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DISPLAY_PERIOD_ODV 500
65 #define UQ_ML_SAMPLING_L_RAW_CHAIN_MEASURE_RUN_TIMES_ODV 1
66 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_PERIOD_ODV 0
67 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
68 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
69 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_ALLOW_ALL_ODV 0
70 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_ALLOWED_SET_ODV ""
71 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
72 #define UQ_ML_SAMPLING_L_RAW_CHAIN_COMPUTE_STATS_ODV 0
73 #endif
74 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_GENERATE_ODV 0
75 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DISCARDED_PORTION_ODV 0.
76 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_LAG_ODV 1
77 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
78 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
79 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_ALLOW_ALL_ODV 0
80 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_ALLOWED_SET_ODV ""
81 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
82 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_COMPUTE_STATS_ODV 0
83 #endif
84 #define UQ_ML_SAMPLING_L_DISPLAY_CANDIDATES_ODV 0
85 #define UQ_ML_SAMPLING_L_PUT_OUT_OF_BOUNDS_IN_CHAIN_ODV 1
86 #define UQ_ML_SAMPLING_L_TK_USE_LOCAL_HESSIAN_ODV 0
87 #define UQ_ML_SAMPLING_L_TK_USE_NEWTON_COMPONENT_ODV 1
88 #define UQ_ML_SAMPLING_L_DR_MAX_NUM_EXTRA_STAGES_ODV 0
89 #define UQ_ML_SAMPLING_L_DR_LIST_OF_SCALES_FOR_EXTRA_STAGES_ODV "1."
90 #define UQ_ML_SAMPLING_L_DR_DURING_AM_NON_ADAPTIVE_INT_ODV 1
91 #define UQ_ML_SAMPLING_L_AM_KEEP_INITIAL_MATRIX_ODV 0
92 #define UQ_ML_SAMPLING_L_AM_INIT_NON_ADAPT_INT_ODV 0
93 #define UQ_ML_SAMPLING_L_AM_ADAPT_INTERVAL_ODV 0
94 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_PERIOD_ODV 0
95 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
96 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
97 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_ALLOW_ALL_ODV 0
98 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_ALLOWED_SET_ODV ""
99 #define UQ_ML_SAMPLING_L_AM_ETA_ODV 1.
100 #define UQ_ML_SAMPLING_L_AM_EPSILON_ODV 1.e-5
101 #define UQ_ML_SAMPLING_L_DO_LOGIT_TRANSFORM 0
102 
103 namespace QUESO {
104 
116 {
117 public:
119 
120  MLSamplingLevelOptions(const BaseEnvironment& env, const char* prefix);
122 
123  //MLSamplingLevelOptions(const MLSamplingLevelOptions& inputOptions);
124 
128 
130 
131  const BaseEnvironment& env() const;
133 
134  //void changePrefix (const char* prefix);
136 
138 
139  void scanOptionsValues(const MLSamplingLevelOptions* defaultOptions);
141 
143  void print (std::ostream& os) const;
145  std::string m_prefix;
146 
147 #ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
148 #else
149  std::string m_checkpointOutputFileName;
151 #endif
152  bool m_stopAtEnd;
154 
156  std::string m_dataOutputFileName;
157 
160 
162  std::set<unsigned int> m_dataOutputAllowedSet;
163 
165  std::string m_str1;
166 
169 
172 
175 
178 
181 
184 
187 
190 
192 
193  double m_minAcceptableEta; // gpmsa1
194 
197 
200 
203 
206 
209 
211  bool m_initialPositionUsePreviousLevelLikelihood; // ml_likelihood_caching
212 
213 
214  std::set<unsigned int> m_parameterDisabledSet; // gpmsa2
215  std::string m_str2; // gpmsa2
216  std::vector<double> m_initialValuesOfDisabledParameters; // gpmsa2
217  std::string m_str3; // gpmsa2
218 
221 
222 
225 
227  unsigned int m_rawChainSize;
228 
231 
234 
237 
240 
243 
246 
249 
251  std::set<unsigned int> m_rawChainDataOutputAllowedSet;
252 
253  std::string m_str4;
254 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
255  bool m_rawChainComputeStats;
257  SequenceStatisticalOptions* m_rawChainStatisticalOptionsObj;
258  bool m_rawChainStatOptsInstantiated;
259 #endif
262 
264  double m_filteredChainDiscardedPortion; // input or set during run time
265 
267  unsigned int m_filteredChainLag; // input or set during run time
268 
271 
274 
277 
279  std::set<unsigned int> m_filteredChainDataOutputAllowedSet;
280  std::string m_str5;
281 
282 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
283  bool m_filteredChainComputeStats;
285  SequenceStatisticalOptions* m_filteredChainStatisticalOptionsObj;
286  bool m_filteredChainStatOptsInstantiated;
287 #endif
288  bool m_displayCandidates;
290 
293 
296 
299 
301  unsigned int m_drMaxNumExtraStages;
302 
304  std::vector<double> m_drScalesForExtraStages;
305  std::string m_str6;
306 
309 
312 
315 
317  unsigned int m_amAdaptInterval;
318 
321 
324 
327 
330 
333 
334 
335  std::string m_str7;
336 
338  double m_amEta;
339 
341  double m_amEpsilon;
342 
345 
346 private:
348  void copyOptionsValues(const MLSamplingLevelOptions& srcOptions);
349 
351  void defineMyOptions (po::options_description& optionsDesc) const;
352 
354  void getMyOptionValues(po::options_description& optionsDesc);
355 
357  po::options_description* m_optionsDesc;
358 
359  std::string m_option_help;
360 
361 #ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
362 #else
364 #endif
365  std::string m_option_stopAtEnd;
377  std::string m_option_minAcceptableEta; // gpmsa1
378  std::string m_option_totallyMute;
383  std::string m_option_initialPositionUsePreviousLevelLikelihood; // ml_likelihood_caching
384  std::string m_option_listOfDisabledParameters; // gpmsa2
397 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
398  std::string m_option_rawChain_computeStats;
399 #endif
400 
408 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
409  std::string m_option_filteredChain_computeStats;
410 #endif
411 
427  std::string m_option_am_eta;
428  std::string m_option_am_epsilon;
430 };
431 
432 std::ostream& operator<<(std::ostream& os, const MLSamplingLevelOptions& obj);
433 
434 } // End namespace QUESO
435 
436 #endif // UQ_MULTI_LEVEL_SAMPLING_LEVEL_OPTIONS_H
unsigned int m_rawChainDisplayPeriod
Period of message display during raw chain generation.
std::string m_initialProposalCovMatrixDataInputFileType
Type of input file for initial proposal covariance matrix.
std::set< unsigned int > m_filteredChainDataOutputAllowedSet
subEnvs that will write to output file for filtered chain.
void scanOptionsValues(const MLSamplingLevelOptions *defaultOptions)
It scans the option values from the options input file.
void copyOptionsValues(const MLSamplingLevelOptions &srcOptions)
Copies the option values from srcOptions to this.
std::string m_initialPositionDataInputFileType
Type of input file for initial position.
std::string m_filteredChainDataOutputFileName
Name of output file for filtered chain.
This class provides options for each level of the Multilevel sequence generator if no input file is a...
double m_maxRejectionRate
maximum allowed attempted rejection rate at current level.
std::string m_rawChainDataOutputFileName
Name of output file for raw chain.
std::string m_rawChainDataOutputFileType
Type of output file for raw chain.
double m_amEpsilon
&#39;am&#39; epsilon.
double m_minEffectiveSizeRatio
Minimum allowed effective size ratio wrt previous level.
std::string m_initialPositionDataInputFileName
Name of input file for initial position.
std::string m_dataOutputFileName
Name of generic output file.
MLSamplingLevelOptions(const BaseEnvironment &env, const char *prefix)
Constructor: reads options from the input file.
bool m_initialPositionUsePreviousLevelLikelihood
Use previous level likelihood for initial chain position instead of re-computing it from target pdf...
std::ostream & operator<<(std::ostream &os, const BaseEnvironment &obj)
unsigned int m_drMaxNumExtraStages
&#39;dr&#39; maximum number of extra stages.
double m_filteredChainDiscardedPortion
Initial discarded portion for chain filtering.
unsigned int m_amAdaptedMatricesDataOutputPeriod
Period for outputing &#39;am&#39; adapted matrices.
std::set< unsigned int > m_parameterDisabledSet
std::vector< double > m_drScalesForExtraStages
&#39;dr&#39; list of scales for proposal covariance matrices from 2nd stage on.
std::string m_checkpointOutputFileName
Name of checkpoint output file.
bool m_dataOutputAllowAll
subEnvs that will write to generic output file.
bool m_drDuringAmNonAdaptiveInt
Whether or not &#39;dr&#39; is used during &#39;am&#39; non adaptive interval.
unsigned int m_amAdaptInterval
&#39;am&#39; adaptation interval.
std::string m_rawChainDataInputFileName
Name of input file for raw chain.
This (virtual) class sets up the environment underlying the use of the QUESO library by an executable...
Definition: Environment.h:187
bool m_tkUseLocalHessian
Whether or not &#39;proposal&#39; uses local Hessian.
po::options_description * m_optionsDesc
std::string m_option_am_adaptedMatrices_dataOutputAllowedSet
std::string m_amAdaptedMatricesDataOutputFileType
Type of output file for &#39;am&#39; adapted matrices.
bool m_tkUseNewtonComponent
Whether or not &#39;proposal&#39; uses Newton component.
unsigned int m_rawChainDataOutputPeriod
Period of message display during raw chain generation.
unsigned int m_amInitialNonAdaptInterval
&#39;am&#39; initial non adaptation interval
std::set< unsigned int > m_dataOutputAllowedSet
subEnvs that will write to generic output file.
std::string m_rawChainDataInputFileType
Type of input file for raw chain.
bool m_scaleCovMatrix
Whether or not scale proposal covariance matrix.
double m_amEta
&#39;am&#39; eta.
bool m_rawChainDataOutputAllowAll
Whether or not subEnvs will write to output file for raw chain.
double m_covRejectionRate
c.o.v. for judging attempted rejection rate at current level.
bool m_doLogitTransform
Whether or not a logit transform will be done for bounded domains.
std::string m_option_initialProposalCovMatrix_dataInputFileType
void defineMyOptions(po::options_description &optionsDesc) const
Defines the options for the Multilevel generator of samples as the default options.
std::string m_filteredChainDataOutputFileType
Type of output file for filtered chain.
bool m_putOutOfBoundsInChain
Put &#39;out of bound&#39; candidates in chain as well.
double m_minAcceptableEta
minimum acceptable eta,
std::set< unsigned int > m_rawChainDataOutputAllowedSet
subEnvs that will write to output file for raw chain.
double m_loadBalanceTreshold
Perform load balancing if load unbalancing ratio &gt; threshold.
unsigned int m_loadBalanceAlgorithmId
Perform load balancing with chosen algorithm (0 = no balancing).
std::string m_option_initialProposalCovMatrix_dataInputFileName
std::set< unsigned int > m_amAdaptedMatricesDataOutputAllowedSet
subEnvs that will write to output file for &#39;am&#39; adapted matrices.
void getMyOptionValues(po::options_description &optionsDesc)
Gets the sequence options defined to the Multilevel algorithm.
bool m_filteredChainGenerate
Whether or not to generate filtered chain.
bool m_rawChainGenerateExtra
Generate extra information about raw chain.
double m_maxEffectiveSizeRatio
Maximum allowed effective size ratio wrt previous level.
std::string m_initialProposalCovMatrixDataInputFileName
Name of input file for initial proposal covariance matrix.
std::vector< double > m_initialValuesOfDisabledParameters
bool m_rawChainMeasureRunTimes
Whether or not to measure run times.
bool m_displayCandidates
Display candidates generated in the core MH algorithm.
double m_minRejectionRate
minimum allowed attempted rejection rate at current level
const BaseEnvironment & env() const
Access to the environment.
std::string m_option_am_adaptedMatrices_dataOutputFileType
std::string m_amAdaptedMatricesDataOutputFileName
Name of output file for &#39;am&#39; adapted matrices.
bool m_totallyMute
Whether or not to be totally mute (no printout message).
std::string m_option_am_adaptedMatrices_dataOutputAllowAll
unsigned int m_rawChainSize
Size of raw chain.
bool m_amAdaptedMatricesDataOutputAllowAll
Whether or not subEnvs will write to output file for &#39;am&#39; adapted matrices.
unsigned int m_filteredChainLag
Spacing for chain filtering.
std::string m_option_initialPositionUsePreviousLevelLikelihood
std::string m_str1
subEnvs that will write to generic output file.
bool m_filteredChainDataOutputAllowAll
Whether or not subEnvs will write to output file for filtered chain.
bool m_stopAtEnd
Stop at end of such level.
std::string m_option_am_adaptedMatrices_dataOutputFileName
void print(std::ostream &os) const
It prints the option values.
bool m_amKeepInitialMatrix
Whether or not &#39;am&#39; will keep initial (given) matrix.

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