lsst.meas.modelfit g9a9c865167+6921275378
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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
 Nlsst
  Nmeas
   Nmodelfit
    Ncmodel
     NcmodelContinued
      CCModelSingleFrameConfig
      CCModelSingleFramePlugin
      CCModelForcedConfig
      CCModelForcedPlugin
    Ndetail
     CVandermondeClass that computes rows of the Vandermonde matrix and related matrices; the dot product of these row vectors with the polynomial coefficient vectors evaluates the polynomial (or computes a derivative)
    Noptimizer
     NoptimizerContinued
      COptimizerControl
      COptimizer
    Npriors
     NpriorsContinued
      CSemiEmpiricalPrior
      CSoftenedLinearPrior
    Npsf
     NpsfContinued
      CGeneralShapeletPsfApproxConfig
      CGeneralShapeletPsfApproxMixin
      CGeneralShapeletPsfApproxSingleFrameConfig
      CGeneralShapeletPsfApproxSingleFramePlugin
      CGeneralShapeletPsfApproxForcedConfig
      CGeneralShapeletPsfApproxForcedPlugin
    CAdaptiveImportanceSamplerSampler class that performs Monte Carlo sampling, while iteratively updating the analytic distribution from which points are drawn
    CCModelAlgorithmMain public interface class for CModel algorithm
    CCModelControlThe main control object for CModel, containing parameters for the final linear fit and aggregating the other control objects
    CCModelResultMaster result object for CModel, containing results for the final linear fit and three nested CModelStageResult objects for the results of the previous stages
    CCModelStageControlNested control object for CModel that configures one of the three ("initial", "exp", "dev") nonlinear fitting stages
    CCModelStageResultResult object for a single nonlinear fitting stage of the CModel algorithm
    CDoubleShapeletPsfApproxAlgorithmAn algorithm that fits a 2-component shapelet approximation to the PSF model
    CDoubleShapeletPsfApproxControlControl object used to configure a 2-shapelet fit to a PSF model; see DoubleShapeletPsfApproxAlgorithm
    CEpochFootprintAn image at one epoch of a galaxy, plus associated info
    CGeneralPsfFitterClass for fitting multishapelet models to PSF images
    CGeneralPsfFitterAlgorithm
    CGeneralPsfFitterComponentControlControl object used to define one piece of multishapelet fit to a PSF model; see GeneralPsfFitterControl
    CGeneralPsfFitterControlControl object used to configure a multishapelet fit to a PSF model; see GeneralPsfFitter
    CImportanceSamplerControlControl object for one iteration of adaptive importance sampling
    CLikelihoodBase class for optimizer/sampler likelihood functions that compute likelihood at a point
    CLocalUnitTransformA local mapping between two UnitSystems
    CMixture
    CMixtureComponentA weighted Student's T or Gaussian distribution used as a component in a Mixture
    CMixturePriorA prior that's flat in amplitude parameters, and uses a Mixture for nonlinear parameters
    CMixtureUpdateRestrictionHelper class used to define restrictions to the form of the component parameters in Mixture::updateEM
    CModelAbstract base class and concrete factories that define multi-shapelet galaxy models
    CMultiModelA concrete Model class that simply concatenates several other Models
    CMultiShapeletPsfLikelihoodLikelihood object used to fit multishapelet models to PSF model images; mostly for internal use by GeneralPsfFitter
    COptimizerA numerical optimizer customized for least-squares problems with Bayesian priors
    COptimizerControlConfiguration object for Optimizer
    COptimizerHistoryRecorder
    COptimizerObjectiveBase class for objective functions for Optimizer
    CPixelFitRegion
    CPixelFitRegionControl
    CPriorBase class for Bayesian priors
    CSampler
    CSamplingObjective
    CSemiEmpiricalPriorA piecewise prior motivated by both real distributions and practical considerations
    CSemiEmpiricalPriorControl
    CSoftenedLinearPriorA prior that's linear in radius and flat in ellipticity, with a cubic roll-off at the edges
    CSoftenedLinearPriorControl
    CTruncatedGaussianRepresents a multidimensional Gaussian function truncated at zero
    CTruncatedGaussianEvaluatorHelper class for evaluating the -log of a TruncatedGaussian
    CTruncatedGaussianLogEvaluatorHelper class for evaluating the -log of a TruncatedGaussian
    CTruncatedGaussianSamplerHelper class for drawing samples from a TruncatedGaussian
    CUnitSystemA simple struct that combines a Wcs and a PhotoCalib
    CUnitTransformedLikelihoodA concrete Likelihood class that does not require its parameters and data to be in the same UnitSystem
    CUnitTransformedLikelihoodControlControl object used to initialize a UnitTransformedLikelihood