src

• src package
  • Submodules
  • src.ACBICI.calibrator module
    • ACBICImodel
      • ACBICImodel.addParameter()
      • ACBICImodel.getInputDimension()
      • ACBICImodel.getNParam()
      • ACBICImodel.getOutputDimension()
      • ACBICImodel.symbolicModel()
    • Calibrator
      • Calibrator.PHEbounds()
      • Calibrator.PHEguess()
      • Calibrator.addHyperparameter()
      • Calibrator.calibrate()
      • Calibrator.gaussianLogLikelihood()
      • Calibrator.generateSyntheticData()
      • Calibrator.genericCalibration()
      • Calibrator.getAllLabels()
      • Calibrator.getExperimentalSTD()
      • Calibrator.getNHyper()
      • Calibrator.getNPHE()
      • Calibrator.getNParam()
      • Calibrator.logLikelihood_vect()
      • Calibrator.logPosterior()
      • Calibrator.logPriors()
      • Calibrator.mcmcCalibration()
      • Calibrator.plot()
      • Calibrator.plotCorner()
      • Calibrator.plotCorrelations()
      • Calibrator.plotPredictionErrors()
      • Calibrator.plotPriorsPosteriors()
      • Calibrator.plotTrace()
      • Calibrator.predictionError()
      • Calibrator.printInfo()
      • Calibrator.printReport()
      • Calibrator.printlog()
      • Calibrator.randomize()
      • Calibrator.replaceHyperparameterPrior()
      • Calibrator.setDefaultExperimentalSTDPrior()
      • Calibrator.setExperimentalSTDPrior()
      • Calibrator.setExperimentalSTDValue()
      • Calibrator.storeExperimentalData()
      • Calibrator.storePHE()
      • Calibrator.storeSyntheticData()
    • KOHCalibrator
      • KOHCalibrator.calibrate()
      • KOHCalibrator.covd()
      • KOHCalibrator.covt()
      • KOHCalibrator.covx()
      • KOHCalibrator.getOutputDimension()
      • KOHCalibrator.logLikelihood_vect()
      • KOHCalibrator.plot()
      • KOHCalibrator.plotCompare()
      • KOHCalibrator.plotCompare_multix()
      • KOHCalibrator.plotDiscrepancy()
      • KOHCalibrator.plotDiscrepancy_multix()
      • KOHCalibrator.remove_extrarows()
      • KOHCalibrator.remove_task_index()
      • KOHCalibrator.setDefaultHyperparametersPriors()
    • average_pairwise_distance()
    • classicalCalibrator
      • classicalCalibrator.calibrate()
      • classicalCalibrator.logLikelihood_vect()
      • classicalCalibrator.plot()
      • classicalCalibrator.plotCompare()
      • classicalCalibrator.plotCompare_multix()
      • classicalCalibrator.remove_extrarows()
      • classicalCalibrator.remove_task_index()
      • classicalCalibrator.setDefaultHyperparametersPriors()
      • classicalCalibrator.storeSamples()
      • classicalCalibrator.transformed_model()
    • discrepancyCalibrator
      • discrepancyCalibrator.calibrate()
      • discrepancyCalibrator.covd()
      • discrepancyCalibrator.getOutputDimension()
      • discrepancyCalibrator.logLikelihood_vect()
      • discrepancyCalibrator.plot()
      • discrepancyCalibrator.plotCompare()
      • discrepancyCalibrator.plotCompare_multix()
      • discrepancyCalibrator.plotDiscrepancy()
      • discrepancyCalibrator.plotDiscrepancy_multix()
      • discrepancyCalibrator.remove_extrarows()
      • discrepancyCalibrator.remove_task_index()
      • discrepancyCalibrator.setDefaultHyperparametersPriors()
      • discrepancyCalibrator.transformed_model()
    • expensiveCalibrator
      • expensiveCalibrator.calibrate()
      • expensiveCalibrator.covt()
      • expensiveCalibrator.covx()
      • expensiveCalibrator.getOutputDimension()
      • expensiveCalibrator.logLikelihood_vect()
      • expensiveCalibrator.plot()
      • expensiveCalibrator.plotCompare()
      • expensiveCalibrator.plotCompare_multix()
      • expensiveCalibrator.remove_extrarows()
      • expensiveCalibrator.remove_task_index()
      • expensiveCalibrator.setDefaultHyperparametersPriors()
    • findApproximateMAP()
    • is_function_effectively_empty()
    • log_multivariate_normal_pdf()
    • log_multivariate_normal_pdf_sparse()
    • printStatistics()
  • src.ACBICI.gprocess module
    • GaussianProcess
      • GaussianProcess.covarianceMatrix()
      • GaussianProcess.eval()
      • GaussianProcess.info()
      • GaussianProcess.test()
  • src.ACBICI.kernels module
    • Expo
      • Expo.evalkernel()
      • Expo.print()
    • Matern32
      • Matern32.evalkernel()
      • Matern32.print()
    • Matern52
      • Matern52.evalkernel()
      • Matern52.print()
    • MultiTask
      • MultiTask.evalkernel()
      • MultiTask.print()
    • RatQuad
      • RatQuad.evalkernel()
      • RatQuad.print()
    • SqExpo
      • SqExpo.evalkernel()
      • SqExpo.print()
    • kernel
      • kernel.evalkernel()
      • kernel.print()
  • src.ACBICI.randomprocess module
    • KOHGaussianProcess
      • KOHGaussianProcess.covarianceMatrix_vect()
      • KOHGaussianProcess.covarianceMatrix_vect_withdisc()
      • KOHGaussianProcess.eval_vect()
      • KOHGaussianProcess.eval_vect_withdisc()
      • KOHGaussianProcess.print()
      • KOHGaussianProcess.test()
    • expensiveGaussianProcess
      • expensiveGaussianProcess.covarianceMatrix_vect()
      • expensiveGaussianProcess.eval_vect()
      • expensiveGaussianProcess.print()
    • inexpKOHGaussianProcess
      • inexpKOHGaussianProcess.covarianceMatrix_vect()
      • inexpKOHGaussianProcess.covarianceMatrix_vect_withdisc()
      • inexpKOHGaussianProcess.eval_vect()
      • inexpKOHGaussianProcess.eval_vect_withdisc()
      • inexpKOHGaussianProcess.print()
    • randomProcess
      • randomProcess.covarianceMatrix_vect()
      • randomProcess.eval_vect()
      • randomProcess.print()
  • src.ACBICI.priors module
    • Cauchy
      • Cauchy.print()
    • Gamma
      • Gamma.print()
    • HalfCauchy
      • HalfCauchy.print()
    • HalfNormal
      • HalfNormal.print()
    • Normal
      • Normal.print()
    • Uniform
      • Uniform.print()
    • Weibull
      • Weibull.print()
    • prior
      • prior.bounds()
      • prior.guessInterval()
      • prior.logProbability()
      • prior.pdf()
      • prior.ppf()
      • prior.print()
      • prior.randomSample()
  • src.ACBICI.vbmc module
    • DiagonalVBmc
      • DiagonalVBmc.elbo()
      • DiagonalVBmc.fit()
      • DiagonalVBmc.sample_posterior()
    • VBmc
      • VBmc.fit()
      • VBmc.sample_posterior()
  • Module contents