queso-0.56.1
MLSamplingLevelOptions.h
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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 #include <queso/BoostInputOptionsParser.h>
33 #define UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE "."
34 
35 // _ODV = option default value
36 #define UQ_ML_SAMPLING_L_HELP ""
37 #ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
38 #else
39 #define UQ_ML_SAMPLING_L_CHECKPOINT_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
40 #endif
41 #define UQ_ML_SAMPLING_L_STOP_AT_END_ODV 0
42 #define UQ_ML_SAMPLING_L_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
43 #define UQ_ML_SAMPLING_L_DATA_OUTPUT_ALLOW_ALL_ODV 0
44 #define UQ_ML_SAMPLING_L_DATA_OUTPUT_ALLOWED_SET_ODV ""
45 #define UQ_ML_SAMPLING_L_LOAD_BALANCE_ALGORITHM_ID_ODV 2
46 #define UQ_ML_SAMPLING_L_LOAD_BALANCE_TRESHOLD_ODV 1.
47 #define UQ_ML_SAMPLING_L_MIN_EFFECTIVE_SIZE_RATIO_ODV 0.85
48 #define UQ_ML_SAMPLING_L_MAX_EFFECTIVE_SIZE_RATIO_ODV 0.91
49 #define UQ_ML_SAMPLING_L_SCALE_COV_MATRIX_ODV 1
50 #define UQ_ML_SAMPLING_L_MIN_REJECTION_RATE_ODV 0.50
51 #define UQ_ML_SAMPLING_L_MAX_REJECTION_RATE_ODV 0.75
52 #define UQ_ML_SAMPLING_L_COV_REJECTION_RATE_ODV 0.25
53 #define UQ_ML_SAMPLING_L_MIN_ACCEPTABLE_ETA_ODV 0.
54 #define UQ_ML_SAMPLING_L_TOTALLY_MUTE_ODV 1
55 #define UQ_ML_SAMPLING_L_INITIAL_POSITION_DATA_INPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
56 #define UQ_ML_SAMPLING_L_INITIAL_POSITION_DATA_INPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
57 #define UQ_ML_SAMPLING_L_INITIAL_PROPOSAL_COV_MATRIX_DATA_INPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
58 #define UQ_ML_SAMPLING_L_INITIAL_PROPOSAL_COV_MATRIX_DATA_INPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
59 #define UQ_ML_SAMPLING_L_INITIAL_POSITION_USE_PREVIOUS_LEVEL_LIKELIHOOD_ODV 0
60 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_INPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
61 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_INPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
62 #define UQ_ML_SAMPLING_L_LIST_OF_DISABLED_PARAMETERS_ODV ""
63 #define UQ_ML_SAMPLING_L_INITIAL_VALUES_OF_DISABLED_PARAMETERS_ODV ""
64 #define UQ_ML_SAMPLING_L_RAW_CHAIN_SIZE_ODV 100
65 #define UQ_ML_SAMPLING_L_RAW_CHAIN_GENERATE_EXTRA_ODV 0
66 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DISPLAY_PERIOD_ODV 500
67 #define UQ_ML_SAMPLING_L_RAW_CHAIN_MEASURE_RUN_TIMES_ODV 1
68 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_PERIOD_ODV 0
69 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
70 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
71 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_ALLOW_ALL_ODV 0
72 #define UQ_ML_SAMPLING_L_RAW_CHAIN_DATA_OUTPUT_ALLOWED_SET_ODV ""
73 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
74 #define UQ_ML_SAMPLING_L_RAW_CHAIN_COMPUTE_STATS_ODV 0
75 #endif
76 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_GENERATE_ODV 0
77 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DISCARDED_PORTION_ODV 0.
78 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_LAG_ODV 1
79 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
80 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
81 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_ALLOW_ALL_ODV 0
82 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_DATA_OUTPUT_ALLOWED_SET_ODV ""
83 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
84 #define UQ_ML_SAMPLING_L_FILTERED_CHAIN_COMPUTE_STATS_ODV 0
85 #endif
86 #define UQ_ML_SAMPLING_L_DISPLAY_CANDIDATES_ODV 0
87 #define UQ_ML_SAMPLING_L_PUT_OUT_OF_BOUNDS_IN_CHAIN_ODV 1
88 #define UQ_ML_SAMPLING_L_TK_USE_LOCAL_HESSIAN_ODV 0
89 #define UQ_ML_SAMPLING_L_TK_USE_NEWTON_COMPONENT_ODV 1
90 #define UQ_ML_SAMPLING_L_DR_MAX_NUM_EXTRA_STAGES_ODV 0
91 #define UQ_ML_SAMPLING_L_DR_LIST_OF_SCALES_FOR_EXTRA_STAGES_ODV "1."
92 #define UQ_ML_SAMPLING_L_DR_DURING_AM_NON_ADAPTIVE_INT_ODV 1
93 #define UQ_ML_SAMPLING_L_AM_KEEP_INITIAL_MATRIX_ODV 0
94 #define UQ_ML_SAMPLING_L_AM_INIT_NON_ADAPT_INT_ODV 0
95 #define UQ_ML_SAMPLING_L_AM_ADAPT_INTERVAL_ODV 0
96 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_PERIOD_ODV 0
97 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_FILE_NAME_ODV UQ_ML_SAMPLING_L_FILENAME_FOR_NO_FILE
98 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_FILE_TYPE_ODV UQ_FILE_EXTENSION_FOR_MATLAB_FORMAT
99 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_ALLOW_ALL_ODV 0
100 #define UQ_ML_SAMPLING_L_AM_ADAPTED_MATRICES_DATA_OUTPUT_ALLOWED_SET_ODV ""
101 #define UQ_ML_SAMPLING_L_AM_ETA_ODV 1.
102 #define UQ_ML_SAMPLING_L_AM_EPSILON_ODV 1.e-5
103 #define UQ_ML_SAMPLING_L_DO_LOGIT_TRANSFORM 0
104 #define UQ_ML_SAMPLING_L_ALGORITHM "random_walk"
105 #define UQ_ML_SAMPLING_L_TK "random_walk"
106 
107 namespace QUESO {
108 
120 {
121 public:
123 
124  MLSamplingLevelOptions(const BaseEnvironment& env, const char* prefix);
126 
127  //MLSamplingLevelOptions(const MLSamplingLevelOptions& inputOptions);
128 
130  virtual ~MLSamplingLevelOptions();
132 
134 
135  const BaseEnvironment& env() const;
137 
138  //void changePrefix (const char* prefix);
140 
142 
143  void scanOptionsValues(const MLSamplingLevelOptions* defaultOptions);
146 
147  void print (std::ostream& os) const;
149  std::string m_prefix;
150 
152  std::string m_help;
153 
154 #ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
155 #else
156  std::string m_checkpointOutputFileName;
158 #endif
159  bool m_stopAtEnd;
161 
163  std::string m_dataOutputFileName;
164 
167 
169  std::set<unsigned int> m_dataOutputAllowedSet;
170 
172  std::string m_str1;
173 
176 
179 
182 
185 
188 
191 
194 
197 
199 
200  double m_minAcceptableEta; // gpmsa1
201 
204 
207 
210 
213 
216 
218  bool m_initialPositionUsePreviousLevelLikelihood; // ml_likelihood_caching
219 
220 
221  std::set<unsigned int> m_parameterDisabledSet; // gpmsa2
222  std::string m_str2; // gpmsa2
223  std::vector<double> m_initialValuesOfDisabledParameters; // gpmsa2
224  std::string m_str3; // gpmsa2
225 
228 
229 
232 
234  unsigned int m_rawChainSize;
235 
238 
241 
244 
247 
250 
252 
256 
259 
261  std::set<unsigned int> m_rawChainDataOutputAllowedSet;
262 
263  std::string m_str4;
264 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
265  bool m_rawChainComputeStats;
267  SequenceStatisticalOptions* m_rawChainStatisticalOptionsObj;
268  bool m_rawChainStatOptsInstantiated;
269 #endif
272 
274  double m_filteredChainDiscardedPortion; // input or set during run time
275 
277  unsigned int m_filteredChainLag; // input or set during run time
278 
281 
284 
287 
289  std::set<unsigned int> m_filteredChainDataOutputAllowedSet;
290  std::string m_str5;
291 
292 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
293  bool m_filteredChainComputeStats;
295  SequenceStatisticalOptions* m_filteredChainStatisticalOptionsObj;
296  bool m_filteredChainStatOptsInstantiated;
297 #endif
298  bool m_displayCandidates;
300 
303 
306 
309 
311  unsigned int m_drMaxNumExtraStages;
312 
314  std::vector<double> m_drScalesForExtraStages;
315  std::string m_str6;
316 
319 
322 
325 
327  unsigned int m_amAdaptInterval;
328 
331 
334 
337 
340 
343 
344 
345  std::string m_str7;
346 
348  double m_amEta;
349 
351  double m_amEpsilon;
352 
355 
357  std::string m_algorithm;
358 
360  std::string m_tk;
361 
362 private:
364  void copyOptionsValues(const MLSamplingLevelOptions& srcOptions);
365  void getAllOptions();
366  void defineAllOptions();
367 
369 
370 #ifndef DISABLE_BOOST_PROGRAM_OPTIONS
372 #endif // DISABLE_BOOST_PROGRAM_OPTIONS
373 
374  std::string m_option_help;
375 
376 #ifdef ML_CODE_HAS_NEW_RESTART_CAPABILITY
377 #else
379 #endif
380  std::string m_option_stopAtEnd;
392  std::string m_option_minAcceptableEta; // gpmsa1
393  std::string m_option_totallyMute;
398  std::string m_option_initialPositionUsePreviousLevelLikelihood; // ml_likelihood_caching
399  std::string m_option_listOfDisabledParameters; // gpmsa2
409 
412 
415 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
416  std::string m_option_rawChain_computeStats;
417 #endif
418 
426 #ifdef QUESO_USES_SEQUENCE_STATISTICAL_OPTIONS
427  std::string m_option_filteredChain_computeStats;
428 #endif
429 
445  std::string m_option_am_eta;
446  std::string m_option_am_epsilon;
448  std::string m_option_algorithm;
449  std::string m_option_tk;
450 
451  void checkOptions(const BaseEnvironment * env);
452 
453  friend std::ostream & operator<<(std::ostream & os,
454  const MLSamplingLevelOptions & obj);
455 };
456 
457 
458 } // End namespace QUESO
459 
460 #endif // UQ_MULTI_LEVEL_SAMPLING_LEVEL_OPTIONS_H
double m_filteredChainDiscardedPortion
Initial discarded portion for chain filtering.
std::string m_option_am_adaptedMatrices_dataOutputAllowAll
void copyOptionsValues(const MLSamplingLevelOptions &srcOptions)
Copies the option values from srcOptions to this.
double m_maxEffectiveSizeRatio
Maximum allowed effective size ratio wrt previous level.
double m_amEta
&#39;am&#39; eta.
bool m_drDuringAmNonAdaptiveInt
Whether or not &#39;dr&#39; is used during &#39;am&#39; non adaptive interval.
bool m_filteredChainGenerate
Whether or not to generate filtered chain.
double m_amEpsilon
&#39;am&#39; epsilon.
bool m_rawChainGenerateExtra
Generate extra information about raw chain.
virtual ~MLSamplingLevelOptions()
Destructor.
std::string m_option_initialProposalCovMatrix_dataInputFileType
double m_covRejectionRate
c.o.v. for judging attempted rejection rate at current level.
double m_minEffectiveSizeRatio
Minimum allowed effective size ratio wrt previous level.
bool m_putOutOfBoundsInChain
Put &#39;out of bound&#39; candidates in chain as well.
std::string m_initialProposalCovMatrixDataInputFileType
Type of input file for initial proposal covariance matrix.
std::string m_dataOutputFileName
Name of generic output file.
std::string m_tk
Which transition kernel to use for sampling.
double m_minRejectionRate
minimum allowed attempted rejection rate at current level
bool m_initialPositionUsePreviousLevelLikelihood
Use previous level likelihood for initial chain position instead of re-computing it from target pdf...
std::string m_option_am_adaptedMatrices_dataOutputFileType
This (virtual) class sets up the environment underlying the use of the QUESO library by an executable...
Definition: Environment.h:197
std::set< unsigned int > m_rawChainDataOutputAllowedSet
subEnvs that will write to output file for raw chain.
void checkOptions(const BaseEnvironment *env)
unsigned int m_rawChainSize
Size of raw chain.
std::string m_initialPositionDataInputFileType
Type of input file for initial position.
bool m_scaleCovMatrix
Whether or not scale proposal covariance matrix.
unsigned int m_filteredChainLag
Spacing for chain filtering.
std::set< unsigned int > m_amAdaptedMatricesDataOutputAllowedSet
subEnvs that will write to output file for &#39;am&#39; adapted matrices.
bool m_dataOutputAllowAll
subEnvs that will write to generic output file.
bool m_doLogitTransform
Whether or not a logit transform will be done for bounded domains.
std::string m_amAdaptedMatricesDataOutputFileType
Type of output file for &#39;am&#39; adapted matrices.
double m_loadBalanceTreshold
Perform load balancing if load unbalancing ratio &gt; threshold.
bool m_tkUseNewtonComponent
Whether or not &#39;proposal&#39; uses Newton component.
std::string m_option_am_adaptedMatrices_dataOutputFileName
bool m_rawChainMeasureRunTimes
Whether or not to measure run times.
unsigned int m_drMaxNumExtraStages
&#39;dr&#39; maximum number of extra stages.
double m_minAcceptableEta
minimum acceptable eta,
std::set< unsigned int > m_parameterDisabledSet
friend std::ostream & operator<<(std::ostream &os, const MLSamplingLevelOptions &obj)
bool m_totallyMute
Whether or not to be totally mute (no printout message).
bool m_tkUseLocalHessian
Whether or not &#39;proposal&#39; uses local Hessian.
std::string m_option_initialProposalCovMatrix_dataInputFileName
std::string m_rawChainDataOutputFileName
Name of output file for raw chain.
double m_maxRejectionRate
maximum allowed attempted rejection rate at current level.
This class provides options for each level of the Multilevel sequence generator if no input file is a...
bool m_stopAtEnd
Stop at end of such level.
std::string m_rawChainDataInputFileType
Type of input file for raw chain.
const BaseEnvironment & env() const
Access to the environment.
std::string m_option_am_adaptedMatrices_dataOutputAllowedSet
std::string m_checkpointOutputFileName
Name of checkpoint output file.
bool m_displayCandidates
Display candidates generated in the core MH algorithm.
std::set< unsigned int > m_dataOutputAllowedSet
subEnvs that will write to generic output file.
std::string m_help
If non-empty string, print options and values to output file.
std::vector< double > m_drScalesForExtraStages
&#39;dr&#39; list of scales for proposal covariance matrices from 2nd stage on.
std::string m_option_rawChain_dataOutputFileType
Option name for MLSamplingLevelOptions::m_rawChainDataOutputFileType. Option name is m_prefix + &quot;ml_r...
std::string m_filteredChainDataOutputFileType
Type of output file for filtered chain.
std::string m_filteredChainDataOutputFileName
Name of output file for filtered chain.
std::string m_str1
subEnvs that will write to generic output file.
void print(std::ostream &os) const
std::string m_rawChainDataOutputFileType
Type of output file for raw chain.
std::string m_initialProposalCovMatrixDataInputFileName
Name of input file for initial proposal covariance matrix.
unsigned int m_rawChainDataOutputPeriod
Period of message display during raw chain generation.
void scanOptionsValues(const MLSamplingLevelOptions *defaultOptions)
BoostInputOptionsParser * m_parser
unsigned int m_rawChainDisplayPeriod
Period of message display during raw chain generation.
std::set< unsigned int > m_filteredChainDataOutputAllowedSet
subEnvs that will write to output file for filtered chain.
unsigned int m_amAdaptInterval
&#39;am&#39; adaptation interval.
unsigned int m_amAdaptedMatricesDataOutputPeriod
Period for outputing &#39;am&#39; adapted matrices.
unsigned int m_loadBalanceAlgorithmId
Perform load balancing with chosen algorithm (0 = no balancing).
std::string m_amAdaptedMatricesDataOutputFileName
Name of output file for &#39;am&#39; adapted matrices.
std::string m_rawChainDataInputFileName
Name of input file for raw chain.
bool m_amAdaptedMatricesDataOutputAllowAll
Whether or not subEnvs will write to output file for &#39;am&#39; adapted matrices.
bool m_rawChainDataOutputAllowAll
Whether or not subEnvs will write to output file for raw chain.
std::string m_algorithm
Which algorithm to use for sampling.
std::string m_option_initialPositionUsePreviousLevelLikelihood
std::string m_initialPositionDataInputFileName
Name of input file for initial position.
bool m_filteredChainDataOutputAllowAll
Whether or not subEnvs will write to output file for filtered chain.
std::vector< double > m_initialValuesOfDisabledParameters
MLSamplingLevelOptions(const BaseEnvironment &env, const char *prefix)
Constructor: reads options from the input file.
bool m_amKeepInitialMatrix
Whether or not &#39;am&#39; will keep initial (given) matrix.
unsigned int m_amInitialNonAdaptInterval
&#39;am&#39; initial non adaptation interval

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