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LALInference 4.1.9.1-3a66518
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LALInference 4.1.9.1-3a66518
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Data structure for a table of posterior samples .
Definition at line 2233 of file bayespputils.py.
Inherits lalinference.bayespputils.Posterior.
Public Member Functions | |
| def | __init__ (self, commonResultsFormatData, SimBurstTableEntry=None, injFref=None, SnglBurstList=None, name=None, description=None) |
| Constructor. More... | |
 Public Member Functions inherited from lalinference.bayespputils.Posterior | |
| def | __init__ (self, commonResultsFormatData, SimInspiralTableEntry=None, inj_spin_frame='OrbitalL', injFref=100, SnglInspiralList=None, name=None, description=None) |
| Constructor. More... | |
| def | extend_posterior (self) |
| Add some useful derived parameters (such as tilt angles, time delays, etc) in the Posterior object. More... | |
| def | bootstrap (self) |
| Returns a new Posterior object that contains a bootstrap sample of self. More... | |
| def | delete_samples_by_idx (self, samples) |
| Remove samples from all OneDPosteriors. More... | |
| def | delete_NaN_entries (self, param_list) |
| Remove samples containing NaN in request params. More... | |
| def | DIC (self) |
| Returns the Deviance Information Criterion estimated from the posterior samples. More... | |
| def | injection (self) |
| Return the injected values. More... | |
| def | triggers (self) |
| Return the trigger values . More... | |
| def | longest_chain_cycles (self) |
| Returns the number of cycles in the longest chain. More... | |
| def | set_injection (self, injection) |
| Set the injected values of the parameters. More... | |
| def | set_triggers (self, triggers) |
| Set the trigger values of the parameters. More... | |
| def | __getitem__ (self, key) |
| Container method . More... | |
| def | __len__ (self) |
| Container method. More... | |
| def | __iter__ (self) |
| Container method. More... | |
| def | forward (self) |
| Generate a forward iterator (in sense of list of names) over Posterior with name,one_d_pos. More... | |
| def | bySample (self) |
| Generate a forward iterator over the list of samples corresponding to the data stored within the Posterior instance. More... | |
| def | dim (self) |
| Return number of parameters. More... | |
| def | names (self) |
| Return list of parameter names. More... | |
| def | means (self) |
| Return dict {paramName:paramMean} . More... | |
| def | medians (self) |
| Return dict {paramName:paramMedian} . More... | |
| def | stdevs (self) |
| Return dict {paramName:paramStandardDeviation} . More... | |
| def | name (self) |
| Return qualified string containing the 'name' of the Posterior instance. More... | |
| def | description (self) |
| Return qualified string containing a 'description' of the Posterior instance. More... | |
| def | append (self, one_d_posterior) |
| Container method. More... | |
| def | pop (self, param_name) |
| Container method. More... | |
| def | append_mapping (self, new_param_names, func, post_names) |
| Append posteriors pos1,pos2,...=func(post_names) More... | |
| def | di_evidence (self, boxing=64) |
| Returns the log of the direct-integration evidence for the posterior samples. More... | |
| def | elliptical_subregion_evidence (self) |
| Returns an approximation to the log(evidence) obtained by fitting an ellipse around the highest-posterior samples and performing the harmonic mean approximation within the ellipse. More... | |
| def | harmonic_mean_evidence (self) |
| Returns the log of the harmonic mean evidence for the set of posterior samples. More... | |
| def | maxL (self) |
| Return the maximum likelihood probability and the corresponding set of parameters. More... | |
| def | maxP (self) |
| Return the maximum a posteriori probability and the corresponding set of parameters. More... | |
| def | samples (self) |
| Return an (M,N) numpy.array of posterior samples; M = len(self); N = dim(self) . More... | |
| def | write_to_file (self, fname) |
| Dump the posterior table to a file in the 'common format'. More... | |
| def | gelman_rubin (self, pname) |
| Returns an approximation to the Gelman-Rubin statistic (see Gelman, A. More... | |
| def | healpix_map (self, resol, nest=True) |
| Returns a healpix map in the pixel ordering that represents the posterior density (per square degree) on the sky. More... | |
| def | __str__ (self) |
| Define a string representation of the Posterior class ; returns a html formatted table of various properties of posteriors. More... | |
| def lalinference.bayespputils.BurstPosterior.__init__ | ( | self, | |
| commonResultsFormatData, | |||
SimBurstTableEntry = None, |
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injFref = None, |
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SnglBurstList = None, |
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name = None, |
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description = None |
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| ) |
Constructor.
| commonResultsFormatData | A 2D array containing the posterior samples and related data. The samples chains form the columns. |
| SimBurstTableEntry | A ligolw.lscstables.SimBurst row containing the injected values. |
| SnglBurstList | A list of SnglBurst objects containing the triggers. |
| injFref | reference frequency in injection |
| name | optional name for this Posterior |
| description | optional description for this Posterior |
Reimplemented from lalinference.bayespputils.Posterior.
Definition at line 2245 of file bayespputils.py.
1.9.4