| __ess | smc.smc | private |
| __init__(self, sigma, ess, obsWeights, DPMFile='', DPMDataDir='', obsDataFile='', obsCtrl='', simDataKeys='', simName='sim', DPMVersion='yade-batch', scaleWithMax=True, loadSamples=True, skipDEM=True, standAlone=True, verbose=False) | smc.smc | |
| __maxNumComponents | smc.smc | private |
| __obsMatrix | smc.smc | private |
| __pool | smc.smc | private |
| __priorWeight | smc.smc | private |
| __scenes | smc.smc | private |
| __sigma | smc.smc | private |
| covs | smc.smc | |
| DPMData | smc.smc | |
| DPMDataDir | smc.smc | |
| DPMFile | smc.smc | |
| DPMVersion | smc.smc | |
| getCovMatrix(self, caliStep, weights) | smc.smc | |
| getDPMData(self, DPMDataFiles) | smc.smc | |
| getEffectiveSampleSize(self) | smc.smc | |
| getInitParams(self, paramRanges, numSamples, threads) | smc.smc | |
| getLikelihood(self, caliStep) | smc.smc | |
| getNames(self) | smc.smc | |
| getNumSteps(self) | smc.smc | |
| getObsData(self) | smc.smc | |
| getObsDataFromFile(self, obsDataFile, obsCtrl) | smc.smc | |
| getParamsFromTable(self, paramsFile, names, paramRanges, iterNO=-1) | smc.smc | |
| getPosterior(self) | smc.smc | |
| getSmcSamples(self) | smc.smc | |
| initialize(self, paramNames, paramRanges, numSamples, maxNumComponents, priorWeight, paramsFile='', proposalFile='', threads=4) | smc.smc | |
| ips | smc.smc | |
| likelihood | smc.smc | |
| loadProposalFromFile(self, proposalFile, iterNO) | smc.smc | |
| loadSamples | smc.smc | |
| numParams | smc.smc | |
| numSamples | smc.smc | |
| numSteps | smc.smc | |
| obsCtrl | smc.smc | |
| obsCtrlData | smc.smc | |
| obsData | smc.smc | |
| obsDataFile | smc.smc | |
| obsWeights | smc.smc | |
| paramNames | smc.smc | |
| paramRanges | smc.smc | |
| paramsFiles | smc.smc | |
| posterior | smc.smc | |
| proposal | smc.smc | |
| recursiveBayesian(self, caliStep, iterNO=-1) | smc.smc | |
| removeDegeneracy(self, caliStep=-1) | smc.smc | |
| resampleParams(self, caliStep, thread=4, iterNO=-1) | smc.smc | |
| run(self, iterNO=-1, reverse=False, threads=1) | smc.smc | |
| scaleCovWithMax | smc.smc | |
| simDataKeys | smc.smc | |
| simName | smc.smc | |
| skipDEM | smc.smc | |
| smcSamples | smc.smc | |
| standAlone | smc.smc | |
| trainGMMinTime(self, maxNumComponents, iterNO=-1) | smc.smc | |
| update(self, caliStep, likelihood) | smc.smc | |
| verbose | smc.smc | |
| writeBayeStatsToFile(self, reverse) | smc.smc | |
1.9.1