workspace.src.LikelihoodModels¶

Created on July 30 2020 @author: Congjian Wang

Submodules¶

Classes¶

Normal/Multivariate Normal Likelihood model

Package Contents¶

class workspace.src.LikelihoodModels.NormalModel[source]¶

Bases: workspace.src.LikelihoodModels.LikelihoodBase.LikelihoodBase

Normal/Multivariate Normal Likelihood model

classmethod getInputSpecification()[source]¶

Collects input specifications for this class.

Returns:: RAVEN InputData specs
Return type:: InputData

_simTargets = None¶

_expTargets = None¶

_biasTargets¶

_expTargetsShape = None¶

_expCov = None¶

_computeExpCov = True¶

_correlatedExpCov = False¶

_biasCov = None¶

_romCov = None¶

_cov = None¶

_detCov = None¶

_diag¶

_multipleTargets = False¶

_numObservations = None¶

_reductionType = 'pca'¶

_truncationRank = None¶

_subspace = None¶

_localHandleInput(paramInput)[source]¶

Function to read the portion of the parsed xml input that belongs to this specialized class and initialize some stuff based on the inputs got.

Parameters:: paramInput – InputData.ParameterInput, the parsed xml input
Returns:: None

_checkInputParams(needDict)[source]¶

Method to check input parameters

Parameters:: needDict – dict, dictionary of required parameters
Returns:: None

static isPosDef(arrayIn)[source]¶

Check if provided array is postive definite or not.

Parameters:: arrayIn – numpy.array, input array
Returns:: True if the array is postive definite
Return type:: bool

initialize(inputDict)[source]¶

Method to initialize this plugin

Parameters:: inputDict – dict, dictionary of inputs
Returns:: None

_logLikelihoodFunction()[source]¶

Function to calculate log probability

Returns:: likelihood output
Return type:: dict