ResourceMap

class ResourceMap(*args, **kwargs)

The ResourceMap allows to manage constants that are associated to key strings.

Find below the ResourceMap’s content:

Key

Value

Type

ARMA-MeanEpsilon

1e-14

float

ARMALikelihoodFactory-DefaultMaxFun

10000

unsigned int

ARMALikelihoodFactory-DefaultRhoBeg

0.01

float

ARMALikelihoodFactory-DefaultRhoEnd

1e-10

float

ARMALikelihoodFactory-DefaultStartingPointScale

1

float

ARMALikelihoodFactory-MaximalScaling

100000

float

ARMALikelihoodFactory-RootEpsilon

1e-06

float

ARMALikelihoodFactory-StartingScaling

1e-13

float

AbdoRackwitz-DefaultMaximumEvaluationNumber

100000

unsigned int

AbdoRackwitz-DefaultOmega

0.0001

float

AbdoRackwitz-DefaultSmooth

1.2

float

AbdoRackwitz-DefaultTau

0.5

float

AbsoluteExponential-DefaultTheta

1

float

AdaptiveDirectionalSampling-DefaultGamma

0.5

float

AdaptiveDirectionalSampling-DefaultMaximumStratificationDimension

3

unsigned int

AdaptiveDirectionalSampling-DefaultNumberOfSteps

2

unsigned int

AdaptiveStieltjesAlgorithm-MaximumError

1e-12

float

AdaptiveStieltjesAlgorithm-MaximumSubIntervalsBetweenRoots

64

unsigned int

AliMikhailHaqCopulaFactory-ThetaEpsilon

1e-14

float

AnalyticalResult-DefaultWidth

1

float

AnalyticalResult-MeanPointIntegrationNodesNumber

255

unsigned int

BernsteinCopulaFactory-BinNumberSelectionMethod

LogLikelihood

string

BernsteinCopulaFactory-MaxM

1

unsigned int

BernsteinCopulaFactory-MinM

2

unsigned int

BernsteinCopulaFactory-SamplingSize

10000

unsigned int

BernsteinCopulaFactory-alpha

1

float

BernsteinCopulaFactory-kFraction

2

unsigned int

BlendedStep-DefaultEta

1

float

BoundingVolumeHierarchy-BinNumber

50

unsigned int

BoundingVolumeHierarchy-Strategy

Mean

string

BoxCoxFactory-DefaultMaxFun

2000

unsigned int

BoxCoxFactory-DefaultPointNumber

201

unsigned int

BoxCoxFactory-DefaultRhoBeg

0.1

float

BoxCoxFactory-DefaultRhoEnd

1e-10

float

BurrFactory-AbsolutePrecision

1e-12

float

BurrFactory-MaximumIteration

10

unsigned int

BurrFactory-RelativePrecision

1e-12

float

BurrFactory-ResidualPrecision

1e-12

float

CalibrationStrategy-DefaultCalibrationStep

100

unsigned int

CalibrationStrategy-DefaultExpansionFactor

1.2

float

CalibrationStrategy-DefaultLowerBound

0.117

float

CalibrationStrategy-DefaultShrinkFactor

0.8

float

CalibrationStrategy-DefaultUpperBound

0.468

float

CenteredFiniteDifferenceGradient-DefaultEpsilon

1e-05

float

CenteredFiniteDifferenceHessian-DefaultEpsilon

0.0001

float

CholeskyMethod-LargeCase

128

unsigned int

Classifier-Parallel

true

bool

CleaningStrategy-DefaultMaximumSize

20

unsigned int

CleaningStrategy-DefaultSignificanceFactor

0.0001

float

Cobyla-DefaultRhoBeg

0.1

float

Collection-size-visible-in-str-from

10

unsigned int

Compact-DefaultHalfMaximumSize

1024

unsigned int

ComplexTensor-size-visible-in-str-from

6

unsigned int

ComposedDistribution-UseGenericCovarianceAlgorithm

false

bool

CompositeDistribution-SolverEpsilon

1e-10

float

CompositeDistribution-StepNumber

256

unsigned int

ConditionalDistribution-MarginalIntegrationNodesNumber

256

unsigned int

ConditionalDistribution-MaximumIntegrationNodesNumber

100000

unsigned int

ContinuousDistribution-DefaultIntegrationNodesNumber

256

unsigned int

Contour-DefaultLevelsNumber

10

unsigned int

CovarianceModel-DefaultNuggetFactor

1e-12

float

DesignProxy-DefaultCacheSize

16777216

unsigned int

DirectionalSampling-MeanContributionIntegrationNodesNumber

255

unsigned int

Dirichlet-DefaultIntegrationSize

50

unsigned int

Dirichlet-DefaultSamplingSize

500000

unsigned int

DirichletFactory-MaximumIteration

10

unsigned int

DirichletFactory-ParametersEpsilon

1e-12

float

DiscreteDistribution-SupportEpsilon

1e-14

float

DistFunc-MaximumIteration

5000

unsigned int

DistFunc-Precision

1e-14

float

Distribution-CharacteristicFunctionBlockMax

20

unsigned int

Distribution-CharacteristicFunctionNMax

1000000

unsigned int

Distribution-DefaultCDFEpsilon

1e-14

float

Distribution-DefaultIntegrationNodesNumber

255

unsigned int

Distribution-DefaultLevelNumber

10

unsigned int

Distribution-DefaultPDFEpsilon

1e-14

float

Distribution-DefaultPointNumber

129

unsigned int

Distribution-DefaultQuantileCacheSize

128

unsigned int

Distribution-DefaultQuantileEpsilon

1e-12

float

Distribution-DefaultQuantileIteration

100

unsigned int

Distribution-DiscreteDrawPDFScaling

0.25

float

Distribution-EntropySamplingSize

1048576

unsigned int

Distribution-MinimumVolumeLevelSetBySampling

false

bool

Distribution-MinimumVolumeLevelSetSamplingSize

1048576

unsigned int

Distribution-Parallel

true

bool

Distribution-QMax

0.85

float

Distribution-QMin

0.15

float

Distribution-ShowSupportDiscretePDF

true

bool

Distribution-SmallDimensionEntropy

3

unsigned int

Distribution-UseCovarianceAdaptiveAlgorithm

true

bool

DistributionFactory-BootstrapErrorTolerance

0.1

float

DistributionFactory-DefaultBootstrapSize

100

unsigned int

Domain-SmallVolume

1e-12

float

Drawable-AlternativePattern

S

string

Drawable-DataThreshold

2000

unsigned int

Drawable-DefaultColor

blue

string

Drawable-DefaultFillStyle

solid

string

Drawable-DefaultLineStyle

solid

string

Drawable-DefaultLineWidth

1

float

Drawable-DefaultPalettePhase

12

unsigned int

Drawable-DefaultPattern

s

string

Drawable-DefaultPointStyle

plus

string

Drawable-DefaultSurfaceColor

white

string

Drawable-NoSpecifiedLabel

‘ ‘

string

DualLinearCombinationEvaluation-SmallCoefficient

0

float

EfficientGlobalOptimization-DefaultAEITradeoff

1

float

EfficientGlobalOptimization-DefaultCorrelationLengthFactor

1

float

EfficientGlobalOptimization-DefaultImprovementFactor

1

float

EfficientGlobalOptimization-DefaultMultiStartExperimentSize

100

unsigned int

EfficientGlobalOptimization-DefaultMultiStartNumber

20

unsigned int

EfficientGlobalOptimization-DefaultParameterEstimationPeriod

1

unsigned int

EnclosingSimplexAlgorithm-LargeDimension

5

unsigned int

ExpectationSimulationAlgorithm-DefaultCoefficientOfVariationCriterionType

MAX

string

ExpectationSimulationAlgorithm-DefaultStandardDeviationCriterionType

NONE

string

ExtremeValueCopula-CheckGridSize

11

unsigned int

ExtremeValueCopula-CheckPickandFunction

true

bool

FAST-DefaultInterferenceFactor

4

unsigned int

FAST-DefaultResamplingSize

1

unsigned int

FaureSequence-InitialSeed

1

unsigned int

Fehlberg-DefaultOrder

4

unsigned int

Fehlberg-InitialStep

1e-07

float

Fehlberg-LocalPrecision

1e-10

float

Field-ArrowRatio

0.01

float

Field-ArrowScaling

0.1

float

Field-LevelNumber

30

unsigned int

FisherSnedecorFactory-D1LowerBound

0.01

float

FisherSnedecorFactory-D2LowerBound

0.01

float

FittingTest-ChiSquaredCheckSample

true

bool

FittingTest-ChiSquaredMinimumBinCount

5

unsigned int

FittingTest-KolmogorovSamplingSize

10

unsigned int

FrankCopulaFactory-AbsolutePrecision

1e-14

float

FrankCopulaFactory-MaximumIteration

100

unsigned int

FrankCopulaFactory-RelativePrecision

1e-14

float

FrankCopulaFactory-ResidualPrecision

1e-14

float

FrechetFactory-BoundMargin

10

float

FunctionalChaosAlgorithm-DefaultMaximumResidual

1e-06

float

FunctionalChaosAlgorithm-LargeSampleSize

10000

unsigned int

FunctionalChaosAlgorithm-MaximumTotalDegree

10

unsigned int

FunctionalChaosAlgorithm-PValueThreshold

0.001

float

FunctionalChaosAlgorithm-QNorm

0.5

float

FunctionalChaosAlgorithm-SmallSampleSize

1000

unsigned int

FunctionalChaosSobolIndices-VariancePartThreshold

0.01

float

GaussKronrod-MaximumError

1e-12

float

GaussKronrod-MaximumSubIntervals

100

unsigned int

GaussLegendre-DefaultMarginalIntegrationPointsNumber

64

unsigned int

GaussProductExperiment-DefaultMarginalDegree

5

unsigned int

GaussianProcess-GibbsMaximumIteration

100

unsigned int

GaussianProcess-MaximalScaling

100000

float

GaussianProcess-StartingScaling

1e-13

float

GeneralLinearModelAlgorithm-DefaultOptimizationAlgorithm

TNC

string

GeneralLinearModelAlgorithm-DefaultOptimizationLowerBound

0.01

float

GeneralLinearModelAlgorithm-DefaultOptimizationScaleFactor

2

float

GeneralLinearModelAlgorithm-DefaultOptimizationUpperBound

100

float

GeneralLinearModelAlgorithm-KeepCovariance

true

bool

GeneralLinearModelAlgorithm-LinearAlgebra

LAPACK

string

GeneralLinearModelAlgorithm-MaximalScaling

100000

float

GeneralLinearModelAlgorithm-MeanEpsilon

1e-12

float

GeneralLinearModelAlgorithm-NormalizeData

false

bool

GeneralLinearModelAlgorithm-OptimizeParameters

true

bool

GeneralLinearModelAlgorithm-StartingScaling

1e-13

float

GeneralLinearModelAlgorithm-UnbiasedVariance

true

bool

GeneralLinearModelAlgorithm-UseAnalyticalAmplitudeEstimate

true

bool

GeneralizedExponential-DefaultTheta

1

float

GeneralizedExtremeValue-XiThreshold

1e-06

float

GeneralizedParetoFactory-MaximumAbsoluteError

1e-10

float

GeneralizedParetoFactory-MaximumConstraintError

1e-10

float

GeneralizedParetoFactory-MaximumEvaluationNumber

1000

unsigned int

GeneralizedParetoFactory-MaximumObjectiveError

1e-10

float

GeneralizedParetoFactory-MaximumRelativeError

1e-10

float

GeneralizedParetoFactory-SmallSize

20

unsigned int

Graph-DefaultHeight

480

unsigned int

Graph-DefaultHorizontalMargin

0.05

float

Graph-DefaultLegendFontSize

1

float

Graph-DefaultVerticalMargin

0.05

float

Graph-DefaultWidth

640

unsigned int

Graph-NoSpecifiedLabel

‘ ‘

string

HMatrix-AdmissibilityFactor

2

float

HMatrix-AssemblyEpsilon

0.0001

float

HMatrix-ClusteringAlgorithm

median

string

HMatrix-CompressionMethod

1

unsigned int

HMatrix-ForceSequential

false

bool

HMatrix-MaxLeafSize

100

unsigned int

HMatrix-RecompressionEpsilon

0.0001

float

HMatrix-ValidationDump

0

unsigned int

HMatrix-ValidationError

0

float

HMatrix-ValidationRerun

0

unsigned int

HaltonSequence-InitialSeed

1

unsigned int

HaselgroveSequence-InitialSeed

1

unsigned int

HyperbolicAnisotropicEnumerateFunction-DefaultQ

0.4

float

IntervalMesher-UseDiamond

false

bool

InverseNormalFactory-Method

MLE

string

IteratedQuadrature-MaximumError

1e-07

float

IteratedQuadrature-MaximumSubIntervals

32

unsigned int

KFactor-DefaultIntegrationNodesNumber

256

unsigned int

KFactor-MaximumIteration

32

unsigned int

KFactor-Precision

1e-08

float

KFold-DefaultK

10

unsigned int

KarhunenLoeveP1Algorithm-RegularizationFactor

0

float

KarhunenLoeveQuadratureAlgorithm-RegularizationFactor

0

float

KarhunenLoeveSVDAlgorithm-Halko2011Iterations

2

unsigned int

KarhunenLoeveSVDAlgorithm-Halko2011Margin

2

unsigned int

KarhunenLoeveSVDAlgorithm-RandomSVDMaximumRank

1000

unsigned int

KarhunenLoeveSVDAlgorithm-RandomSVDVariant

Halko2010

string

KarhunenLoeveSVDAlgorithm-UseRandomSVD

false

bool

KernelMixture-LargeSize

20

unsigned int

KernelMixture-PDFCDFDiscretization

1000

unsigned int

KernelMixture-SmallSize

50

unsigned int

KernelSmoothing-AbsolutePrecision

0

float

KernelSmoothing-BinNumber

1024

unsigned int

KernelSmoothing-CutOffPlugin

5

float

KernelSmoothing-MaximumIteration

50

unsigned int

KernelSmoothing-RelativePrecision

1e-05

float

KernelSmoothing-ResidualPrecision

1e-10

float

KernelSmoothing-SmallSize

250

unsigned int

KrigingAlgorithm-LinearAlgebra

LAPACK

string

KrigingAlgorithm-MaximalScaling

100000

float

KrigingAlgorithm-StartingScaling

1e-13

float

Last-DefaultMaximumSize

65536

unsigned int

LeastSquaresMetaModelSelection-DecompositionMethod

SVD

string

LeastSquaresMetaModelSelection-ErrorThreshold

0

float

LeastSquaresMetaModelSelection-MaximumErrorFactor

2

float

LinearCombinationEvaluation-SmallCoefficient

0

float

LinearModelAlgorithm-DecompositionMethod

QR

string

LinearModelAnalysis-Identifiers

3

unsigned int

LinearModelFactory-DefaultLevelValue

0.95

float

LinearModelTest-DefaultDurbinWatsonHypothesis

Equal

string

LinearModelTest-DefaultHarrisonMcCabeBreakpoint

0.5

float

LinearModelTest-DefaultHarrisonMcCabeSimulationSize

1000

unsigned int

LinearModelTest-DefaultLevel

0.05

float

LogNormal-CharacteristicFunctionIntegrationNodes

256

unsigned int

LogNormal-CharacteristicFunctionSmallSigmaThreshold

0.2

float

LogNormalFactory-AbsolutePrecision

1e-12

float

LogNormalFactory-EstimationMethod

0

unsigned int

LogNormalFactory-MaximumIteration

50

unsigned int

LogNormalFactory-RelativePrecision

1e-12

float

LogNormalFactory-ResidualPrecision

1e-12

float

MCMC-DefaultBurnIn

0

unsigned int

MCMC-DefaultThinning

1

unsigned int

MarginalTransformationEvaluation-DefaultTailThreshold

0.99

float

MarginalTransformationEvaluation-ParametersEpsilon

1e-14

float

MarginalTransformationEvaluation-Simplify

true

bool

MaternModel-DefaultNu

1.5

float

MaternModel-DefaultTheta

1

float

Matrix-DefaultSmallPivot

1e-07

float

Matrix-SymmetryThreshold

1e-12

float

Matrix-size-visible-in-str-from

5

unsigned int

MaximumEntropyOrderStatisticsDistribution-CDFIntegrationNodesNumber

16

unsigned int

MaximumEntropyOrderStatisticsDistribution-CheckMarginals

true

bool

MaximumEntropyOrderStatisticsDistribution-ExponentialFactorDiscretization

100

unsigned int

MaximumEntropyOrderStatisticsDistribution-MaximumApproximationSubdivision

2

unsigned int

MaximumEntropyOrderStatisticsDistribution-MaximumQuantileIteration

10

unsigned int

MaximumEntropyOrderStatisticsDistribution-SupportShift

1e-15

float

MaximumEntropyOrderStatisticsDistribution-UseApproximation

true

bool

MaximumLikelihoodFactory-DefaultOptimizationAlgorithm

TNC

string

MaximumLikelihoodFactory-MaximumAbsoluteError

1e-10

float

MaximumLikelihoodFactory-MaximumConstraintError

1e-10

float

MaximumLikelihoodFactory-MaximumEvaluationNumber

1000

unsigned int

MaximumLikelihoodFactory-MaximumObjectiveError

1e-10

float

MaximumLikelihoodFactory-MaximumRelativeError

1e-10

float

MeixnerDistribution-CDFDiscretization

10000

unsigned int

MeixnerDistribution-CDFIntegrationNodesNumber

32

unsigned int

MeixnerDistribution-MaximumAbsoluteError

1e-12

float

MeixnerDistribution-MaximumConstraintError

1e-12

float

MeixnerDistribution-MaximumObjectiveError

1e-12

float

MeixnerDistribution-MaximumRelativeError

1e-12

float

Mesh-AmbientFactor

0.1

float

Mesh-BackfaceCulling

false

bool

Mesh-DiffuseFactor

0.7

float

Mesh-LargeSize

5000

unsigned int

Mesh-Shininess

100

float

Mesh-SpecularFactor

0.2

float

Mesh-VertexEpsilon

1e-06

float

MethodOfMomentsFactory-MaximumAbsoluteError

1e-10

float

MethodOfMomentsFactory-MaximumConstraintError

1e-10

float

MethodOfMomentsFactory-MaximumEvaluationNumber

1000

unsigned int

MethodOfMomentsFactory-MaximumObjectiveError

1e-10

float

MethodOfMomentsFactory-MaximumRelativeError

1e-10

float

Mixture-LargeSize

20

unsigned int

Mixture-PDFCDFDiscretization

1000

unsigned int

Mixture-SmallSize

50

unsigned int

Mixture-SmallWeight

1e-12

float

Multinomial-eta

1e-09

float

Multinomial-smallA

10

float

NegativeBinomialFactory-AbsolutePrecision

1e-12

float

NegativeBinomialFactory-MaximumIteration

50

unsigned int

NegativeBinomialFactory-RelativePrecision

1e-12

float

NegativeBinomialFactory-ResidualPrecision

1e-12

float

NonCenteredFiniteDifferenceGradient-DefaultEpsilon

1e-07

float

NonCentralStudent-CDFAlgo

0

unsigned int

Normal-MarginalIntegrationNodesNumber

16

unsigned int

Normal-MaximumCDFEpsilon

5e-06

float

Normal-MaximumNumberOfPoints

10000000

unsigned int

Normal-MinimumCDFEpsilon

0.05

float

Normal-MinimumNumberOfPoints

100000

unsigned int

Normal-SmallDimension

6

unsigned int

NumericalMathEvaluation-DefaultPointNumber

129

unsigned int

NumericalMathEvaluation-ParameterEpsilon

1e-07

float

OPTpp-DefaultLineSearchTolerance

0.0001

float

OPTpp-DefaultMaximumLineSearchIterationNumber

5

unsigned int

OPTpp-DefaultMaximumStep

1000

float

OPTpp-DefaultMinimumStep

2e-16

float

OPTpp-DefaultTrustRegionSize

1000

float

OptimizationAlgorithm-DefaultLevelValue

0

float

OptimizationAlgorithm-DefaultMaximumAbsoluteError

1e-05

float

OptimizationAlgorithm-DefaultMaximumConstraintError

1e-05

float

OptimizationAlgorithm-DefaultMaximumEvaluationNumber

100

unsigned int

OptimizationAlgorithm-DefaultMaximumIterationNumber

100

unsigned int

OptimizationAlgorithm-DefaultMaximumRelativeError

1e-05

float

OptimizationAlgorithm-DefaultMaximumResidualError

1e-05

float

OrderStatisticsMarginalChecker-OptimizationEpsilon

1e-07

float

OrderStatisticsMarginalChecker-QuantileIteration

100

unsigned int

Os-RemoveFiles

true

bool

Os-create-process

true

bool

Pie-HorizontalMargin

0.3

float

Pie-LabelThreshold

0.02

float

Pie-VerticalMargin

0.1

float

PiecewiseHermiteEvaluation-EpsilonRegular

1e-12

float

PiecewiseLinearEvaluation-EpsilonRegular

1e-12

float

PointToPointEvaluation-BlockSize

256

unsigned int

ProbabilitySimulationResult-CheckPositiveVariance

false

bool

ProbabilitySimulationResult-DefaultConfidenceLevel

0.95

float

ProductDistribution-LargeCharacteristicFunctionArgument

10

float

R-executable-command

/usr/sbin/R

string

RandomGenerator-InitialSeed

0

unsigned int

RandomMixture-DefaultAlpha

5

float

RandomMixture-DefaultBeta

8.5

float

RandomMixture-DefaultBlockMax

16

unsigned int

RandomMixture-DefaultBlockMin

3

unsigned int

RandomMixture-DefaultCDFEpsilon

1e-10

float

RandomMixture-DefaultMaxSize

65536

unsigned int

RandomMixture-DefaultPDFEpsilon

1e-10

float

RandomMixture-GraphCDFEpsilon

1e-05

float

RandomMixture-GraphPDFEpsilon

1e-05

float

RandomMixture-MarginalIntegrationNodesNumber

128

unsigned int

RandomMixture-MaximumIntegrationNodesNumber

1024

unsigned int

RandomMixture-MaximumSupportSize

2048

unsigned int

RandomMixture-ProjectionDefaultSize

25

unsigned int

RandomMixture-SimplifyAtoms

true

bool

RandomMixture-SmallSize

100

unsigned int

ReverseHaltonSequence-InitialSeed

1

unsigned int

RiceFactory-AbsolutePrecision

1e-12

float

RiceFactory-MaximumIteration

10

unsigned int

RiceFactory-RelativePrecision

1e-12

float

RiceFactory-ResidualPrecision

1e-12

float

RootStrategy-DefaultMaximumDistance

8

float

RootStrategy-DefaultStepSize

1

float

SQP-DefaultMaximumEvaluationNumber

100000

unsigned int

SQP-DefaultOmega

0.0001

float

SQP-DefaultSmooth

1.2

float

SQP-DefaultTau

0.5

float

Sample-CommentMarkers

#

string

Sample-PrintEllipsisSize

3

unsigned int

Sample-PrintEllipsisThreshold

1000

unsigned int

Sample-SmallKendallTau

23

unsigned int

SimulationAlgorithm-DefaultBlockSize

1

unsigned int

SimulationAlgorithm-DefaultMaximumCoefficientOfVariation

0.1

float

SimulationAlgorithm-DefaultMaximumOuterSampling

1000

unsigned int

SimulationAlgorithm-DefaultMaximumStandardDeviation

0

float

SimulationSensitivityAnalysis-DefaultSampleMargin

400

unsigned int

SobolIndicesAlgorithm-DefaultBlockSize

1

unsigned int

SobolIndicesAlgorithm-DefaultBootstrapConfidenceLevel

0.95

float

SobolIndicesAlgorithm-DefaultBootstrapSize

100

unsigned int

SobolIndicesAlgorithm-DefaultUseAsymptoticDistribution

false

bool

SobolIndicesExperiment-SamplingMethod

MonteCarlo

string

SobolSequence-InitialSeed

1

unsigned int

SobolSimulationAlgorithm-DefaultBatchSize

1

unsigned int

SobolSimulationAlgorithm-DefaultBlockSize

1000

unsigned int

SobolSimulationAlgorithm-DefaultIndexQuantileEpsilon

0.01

float

SobolSimulationAlgorithm-DefaultIndexQuantileLevel

0.05

float

Solver-DefaultAbsoluteError

1e-05

float

Solver-DefaultMaximumFunctionEvaluation

100

unsigned int

Solver-DefaultRelativeError

1e-05

float

Solver-DefaultResidualError

1e-08

float

SparseMethod-ErrorThreshold

0.001

float

SparseMethod-MaximumErrorFactor

2

float

SpecFunc-MaximumIteration

1000

unsigned int

SpecFunc-Precision

2e-16

float

SpectralGaussianProcess-CholeskyCacheSize

16384

unsigned int

SpectralGaussianProcess-MaximalScaling

100000

float

SpectralGaussianProcess-StartingScaling

1e-13

float

SpectralModel-DefaultFrequencyNumber

129

unsigned int

SpectralModel-DefaultMaximumFrequency

5

float

SpectralModel-DefaultMinimumFrequency

-5

float

SpectralModel-DefaultPointNumber

129

unsigned int

SpectralModel-DefaultTMax

5

float

SpectralModel-DefaultTMin

-5

float

SquaredExponential-DefaultTheta

1

float

StrongMaximumTest-DefaultDeltaPrecision

1e-07

float

StrongMaximumTest-Epsilon

1e-10

float

Student-MarginalIntegrationNodesNumber

16

unsigned int

Student-MaximumCDFEpsilon

5e-06

float

Student-MaximumNumberOfPoints

10000000

unsigned int

Student-MinimumCDFEpsilon

0.05

float

Student-MinimumNumberOfPoints

100000

unsigned int

Student-SmallDimension

6

unsigned int

StudentFactory-NuMax

1000

float

SubsetSampling-DefaultBetaMin

2

float

SubsetSampling-DefaultConditionalProbability

0.1

float

SubsetSampling-DefaultMaximumOuterSampling

10000

unsigned int

SubsetSampling-DefaultProposalRange

2

float

SymbolicParser-Backend

ExprTk

string

SymbolicParser-CheckResult

true

bool

TNC-DefaultAccuracy

0.0001

float

TNC-DefaultEta

0.25

float

TNC-DefaultFmin

1

float

TNC-DefaultMaxCGit

50

unsigned int

TNC-DefaultRescale

1.3

float

TNC-DefaultStepmx

10

float

Tensor-size-visible-in-str-from

5

unsigned int

TensorApproximationAlgorithm-DecompositionMethod

SVD

string

TensorApproximationAlgorithm-DefaultMaximumAlternatingLeastSquaresIteration

100

unsigned int

TensorApproximationAlgorithm-DefaultMaximumRadiusError

1e-05

float

TensorApproximationAlgorithm-DefaultMaximumResidualError

1e-05

float

TensorApproximationAlgorithm-Method

GreedyRankOne

string

TrapezoidalFactory-MaximumIteration

2000

unsigned int

TrapezoidalFactory-RhoBeg

0.1

float

TrapezoidalFactory-RhoEnd

1e-05

float

TruncatedDistribution-DefaultThresholdRealization

0.5

float

TruncatedNormalFactory-SigmaLowerBound

0.0001

float

UniVariatePolynomial-SmallDegree

400

unsigned int

UserDefined-SmallSize

10000

unsigned int

View-ImageFormat

png

string

VisualTest-KendallPlot-MonteCarloSize

100

unsigned int

WeightedExperiment-DefaultSize

100

unsigned int

WhittleFactory-DefaultMaxFun

2000

unsigned int

WhittleFactory-DefaultRhoBeg

0.1

float

WhittleFactory-DefaultRhoEnd

1e-10

float

WhittleFactory-DefaultStartingPointScale

1

float

WhittleFactory-RootEpsilon

1e-06

float

XMLStorageManager-DefaultCompressionLevel

0

unsigned int

cache-max-size

1024

unsigned int

csv-file-separator

;

string

output-files-timeout

2

unsigned int

parallel-threads

36

unsigned int

temporary-directory

/tmp

string

Examples

Get some keys:

>>> import openturns as ot
>>> for key in ot.ResourceMap.GetKeys()[:4]:
...     print(key)
ARMA-MeanEpsilon
ARMALikelihoodFactory-DefaultMaxFun
ARMALikelihoodFactory-DefaultRhoBeg
ARMALikelihoodFactory-DefaultRhoEnd
Attributes
thisown

The membership flag

Methods

Get(key)

Access a parameter.

GetAsBool(key)

Access a boolean parameter.

GetAsScalar(key)

Access a floating-point parameter.

GetAsString(key)

Access a parameter.

GetAsUnsignedInteger(key)

Access an integer parameter.

GetBoolKeys()

Get the bool keys of the ResourceMap.

GetBoolSize()

Get the size of the bool map in ResourceMap.

GetKeys()

Get the keys of the ResourceMap.

GetScalarKeys()

Get the float keys of the ResourceMap.

GetScalarSize()

Get the size of the float map in ResourceMap.

GetSize()

Get the size of the ResourceMap.

GetStringKeys()

Get the string keys of the ResourceMap.

GetStringSize()

Get the size of the string map in ResourceMap.

GetType(key)

Access the type of a parameter.

GetUnsignedIntegerKeys()

Get the unsigned integer keys of the ResourceMap.

GetUnsignedIntegerSize()

Get the size of the unsigned integer map in ResourceMap.

Set(key, value)

Access a parameter.

SetAsBool(key, value)

Access a boolean parameter.

SetAsScalar(key, value)

Access a floating-point parameter.

SetAsString(key, value)

Access a parameter.

SetAsUnsignedInteger(key, value)

Access an integer parameter.

static Get(key)

Access a parameter.

Parameters
keystr

An identifier associated to the parameter.

Returns
valuestr

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.Get('WeightedExperiment-DefaultSize')
'100'
static GetAsBool(key)

Access a boolean parameter.

Parameters
keystr

An identifier associated to the parameter.

Returns
valuebool

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetAsBool('MaximumEntropyOrderStatisticsDistribution-CheckMarginals')
True
static GetAsScalar(key)

Access a floating-point parameter.

Parameters
keystr

An identifier associated to the parameter.

Returns
valuefloat

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetAsScalar('SQP-DefaultTau')
0.5
static GetAsString(key)

Access a parameter.

Parameters
keystr

An identifier associated to the parameter.

Returns
valuestr

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.Get('WeightedExperiment-DefaultSize')
'100'
static GetAsUnsignedInteger(key)

Access an integer parameter.

Parameters
keystr

An identifier associated to the parameter.

Returns
valueint

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetAsUnsignedInteger('MCMC-DefaultBurnIn')
0...
static GetBoolKeys()

Get the bool keys of the ResourceMap.

Returns
keystuple of str

The list of bool identifiers.

static GetBoolSize()

Get the size of the bool map in ResourceMap.

Returns
sizepositive int

The number of bool constants defined in the ResourceMap.

static GetKeys()

Get the keys of the ResourceMap.

Returns
keystuple of str

The list of identifiers.

static GetScalarKeys()

Get the float keys of the ResourceMap.

Returns
keystuple of str

The list of float identifiers.

static GetScalarSize()

Get the size of the float map in ResourceMap.

Returns
sizepositive int

The number of float constants defined in the ResourceMap.

static GetSize()

Get the size of the ResourceMap.

Returns
sizepositive int

The number of constants defined in the ResourceMap.

static GetStringKeys()

Get the string keys of the ResourceMap.

Returns
keystuple of str

The list of string identifiers.

static GetStringSize()

Get the size of the string map in ResourceMap.

Returns
sizepositive int

The number of string constants defined in the ResourceMap.

static GetType(key)

Access the type of a parameter.

Parameters
keystr

An identifier associated to the parameter.

Returns
typestr

The type associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetType('DiscreteDistribution-SupportEpsilon')
'float'
static GetUnsignedIntegerKeys()

Get the unsigned integer keys of the ResourceMap.

Returns
keystuple of str

The list of unsigned integer identifiers.

static GetUnsignedIntegerSize()

Get the size of the unsigned integer map in ResourceMap.

Returns
sizepositive int

The number of unsigned integer constants defined in the ResourceMap.

static Set(key, value)

Access a parameter.

Parameters
keystr

An identifier associated to the parameter.

valuestr

The value associated to that key. If the key already exists as a float, an unsigned int or a bool, the given string is converted into the corresponding type.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.Set('DiscreteDistribution-SupportEpsilon', '1.0e-14')
static SetAsBool(key, value)

Access a boolean parameter.

Parameters
keystr

An identifier associated to the parameter.

valuebool

The value associated to that key. The key is added to the bool map even if it already exists in another map (float, unsigned int or string).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsBool('MaximumEntropyOrderStatisticsDistribution-CheckMarginals', True)
static SetAsScalar(key, value)

Access a floating-point parameter.

Parameters
keystr

An identifier associated to the parameter.

valuefloat

The value associated to that key. The key is added to the float map even if it already exists in another map (string, unsigned int or bool).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsScalar('SQP-DefaultTau', 0.5)
static SetAsString(key, value)

Access a parameter.

Parameters
keystr

An identifier associated to the parameter.

valuestr

The value associated to that key. The key is added to the string map even if it already exists in another map (float, unsigned int or bool).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsString('View-ImageFormat', 'png')
static SetAsUnsignedInteger(key, value)

Access an integer parameter.

Parameters
keystr

An identifier associated to the parameter.

valueint

The value associated to that key. The key is added to the unsigned integer map even if it already exists in another map (float, string or bool).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsUnsignedInteger('MCMC-DefaultBurnIn', 0)