workspace.src.LikelihoodModels.NormalModel

Created on July 30 2020 @author: Congjian Wang

Classes

NormalModel

Normal/Multivariate Normal Likelihood model

Module Contents

class workspace.src.LikelihoodModels.NormalModel.NormalModel

Bases: workspace.src.LikelihoodModels.LikelihoodBase.LikelihoodBase

Normal/Multivariate Normal Likelihood model

classmethod getInputSpecification()

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)

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)

Method to check input parameters

Parameters:

needDict – dict, dictionary of required parameters

Returns:

None

static isPosDef(arrayIn)

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)

Method to initialize this plugin

Parameters:

inputDict – dict, dictionary of inputs

Returns:

None

_logLikelihoodFunction()

Function to calculate log probability

Returns:

likelihood output

Return type:

dict