ResourceMap¶
- class ResourceMap(*args, **kwargs)¶
The ResourceMap allows one to manage constants that are associated to key strings.
Find below the ResourceMap’s content:
Key
Value
Type
ARMA-MeanEpsilon
1e-14
float
ARMALikelihoodFactory-DefaultMaximumCallsNumber
10000
int
ARMALikelihoodFactory-DefaultRhoBeg
0.01
float
ARMALikelihoodFactory-DefaultRhoEnd
1e-10
float
ARMALikelihoodFactory-RootEpsilon
1e-06
float
AbdoRackwitz-DefaultOmega
0.0001
float
AbdoRackwitz-DefaultSmooth
1.2
float
AbdoRackwitz-DefaultTau
0.5
float
AbsoluteExponential-DefaultTheta
1
float
AdaptiveDirectionalStratification-DefaultGamma
0.5
float
AdaptiveDirectionalStratification-DefaultMaximumStratificationDimension
3
int
AdaptiveDirectionalStratification-DefaultNumberOfSteps
2
int
AdaptiveStieltjesAlgorithm-MaximumError
1e-12
float
AdaptiveStieltjesAlgorithm-MaximumSubIntervalsBetweenRoots
64
int
AliMikhailHaqCopulaFactory-ThetaEpsilon
1e-14
float
AnalyticalResult-DefaultWidth
1
float
AnalyticalResult-MeanPointIntegrationNodesNumber
255
int
BernsteinCopulaFactory-BinNumberSelectionMethod
LogLikelihood
str
BernsteinCopulaFactory-MaxM
1
int
BernsteinCopulaFactory-MinM
2
int
BernsteinCopulaFactory-SamplingSize
10000
int
BernsteinCopulaFactory-alpha
1
float
BernsteinCopulaFactory-kFraction
2
int
BlendedStep-DefaultEta
1
float
BoundingVolumeHierarchy-BinNumber
50
int
BoundingVolumeHierarchy-Strategy
Mean
str
BoxCoxFactory-DefaultMaximumCallsNumber
2000
int
BoxCoxFactory-DefaultPointNumber
201
int
BoxCoxFactory-DefaultRhoBeg
0.1
float
BoxCoxFactory-DefaultRhoEnd
1e-10
float
BurrFactory-AbsolutePrecision
1e-12
float
BurrFactory-MaximumIteration
10
int
BurrFactory-RelativePrecision
1e-12
float
BurrFactory-ResidualPrecision
1e-12
float
Cache-MaxSize
1024
int
CalibrationResult-ObservationLineStyle
solid
str
CalibrationResult-ObservationPointStyle
fsquare
str
CalibrationResult-PosteriorLineStyle
dotdash
str
CalibrationResult-PosteriorPointStyle
diamond
str
CalibrationResult-PriorLineStyle
dashed
str
CalibrationResult-PriorPointStyle
circle
str
CalibrationResult-xRangeMarginFactor
0.2
float
CenteredFiniteDifferenceGradient-DefaultEpsilon
1e-05
float
CenteredFiniteDifferenceHessian-DefaultEpsilon
0.0001
float
CholeskyMethod-LargeCase
128
int
Classifier-Parallel
true
bool
CleaningStrategy-DefaultMaximumSize
20
int
CleaningStrategy-DefaultSignificanceFactor
0.0001
float
Cobyla-DefaultRhoBeg
0.1
float
Collection-size-visible-in-str-from
10
int
Compact-DefaultHalfMaximumSize
1024
int
ComplexTensor-size-visible-in-str-from
6
int
CompositeDistribution-SolverEpsilon
1e-14
float
CompositeDistribution-StepNumber
256
int
ConditionalDistribution-ContinuousDiscretizationMethod
GaussProduct
str
ConditionalDistribution-MarginalIntegrationNodesNumber
256
int
ConditionalDistribution-MaximumIntegrationNodesNumber
100000
int
ContinuousDistribution-DefaultIntegrationNodesNumber
256
int
Contour-DefaultAlpha
1
float
Contour-DefaultColorBarPosition
right
str
Contour-DefaultColorMap
hsv
str
Contour-DefaultColorMapNorm
linear
str
Contour-DefaultDrawLabels
true
bool
Contour-DefaultExtend
both
str
Contour-DefaultIsFilled
false
bool
Contour-DefaultLevelsNumber
10
int
CovarianceModel-DefaultNuggetFactor
1e-12
float
CovarianceModel-DefaultPointNumber
129
int
CovarianceModel-DefaultTMax
5
float
CovarianceModel-DefaultTMin
-5
float
CrossEntropyImportanceSampling-DefaultQuantileLevel
0.25
float
CubaIntegration-DefaultMaximumAbsoluteError
0.0001
float
CubaIntegration-DefaultMaximumCallsNumber
1000000
int
CubaIntegration-DefaultMaximumRelativeError
0.0001
float
CubaIntegration-cuhre-key
0
int
CubaIntegration-divonne-border
0
float
CubaIntegration-divonne-key1
47
int
CubaIntegration-divonne-key2
1
int
CubaIntegration-divonne-key3
1
int
CubaIntegration-divonne-maxchisq
10
float
CubaIntegration-divonne-maxpass
5
int
CubaIntegration-divonne-mindeviation
0.25
float
CubaIntegration-divonne-nextra
0
int
CubaIntegration-divonne-ngiven
0
int
CubaIntegration-flags
0
int
CubaIntegration-mineval
0
int
CubaIntegration-seed
0
int
CubaIntegration-suave-flatness
25
float
CubaIntegration-suave-nmin
2
int
CubaIntegration-suave-nnew
1000
int
CubaIntegration-vegas-gridno
0
int
CubaIntegration-vegas-nbatch
1000
int
CubaIntegration-vegas-nincrease
500
int
CubaIntegration-vegas-nstart
1000
int
DesignProxy-DefaultCacheSize
16777216
int
DiracCovarianceModel-CheckUnique
true
bool
DirectionalSampling-MeanContributionIntegrationNodesNumber
255
int
Dirichlet-DefaultIntegrationSize
50
int
Dirichlet-DefaultSamplingSize
500000
int
DirichletFactory-MaximumIteration
10
int
DirichletFactory-ParametersEpsilon
1e-12
float
DiscreteCompoundDistribution-DefaultEpsilon
1e-12
float
DiscreteDistribution-SupportEpsilon
1e-14
float
DiscreteMarkovChain-DOTArcColor
black
str
DiscreteMarkovChain-DOTLayout
dot
str
DiscreteMarkovChain-DOTNodeColor
black
str
DiscreteMarkovChain-DOTNodeShape
oval
str
DiscreteMarkovChain-ProbabilitySumPrecision
1e-06
float
DistFunc-MaximumIteration
5000
int
DistFunc-Precision
1e-14
float
Distribution-CharacteristicFunctionBlockMax
20
int
Distribution-CharacteristicFunctionNMax
1000000
int
Distribution-DefaultCDFEpsilon
1e-14
float
Distribution-DefaultIntegrationNodesNumber
255
int
Distribution-DefaultLevelNumber
10
int
Distribution-DefaultPDFEpsilon
1e-14
float
Distribution-DefaultPointNumber
129
int
Distribution-DefaultQuantileCacheSize
128
int
Distribution-DefaultQuantileEpsilon
1e-12
float
Distribution-DefaultQuantileIteration
100
int
Distribution-DependenceEpsilon
1e-12
float
Distribution-DiscreteDrawPDFScaling
0.25
float
Distribution-EntropySamplingMethod
MonteCarlo
str
Distribution-EntropySamplingSize
524288
int
Distribution-MinimumVolumeLevelSetBySampling
false
bool
Distribution-MinimumVolumeLevelSetSamplingSize
16384
int
Distribution-Parallel
true
bool
Distribution-QMax
0.85
float
Distribution-QMin
0.15
float
Distribution-RoughnessSamplingMethod
MonteCarlo
str
Distribution-RoughnessSamplingSize
524288
int
Distribution-ScaleColorsDiscretePDF
true
bool
Distribution-ShowSupportDiscretePDF
true
bool
Distribution-SmallDimensionEntropy
3
int
Distribution-SmallDimensionRoughness
3
int
Distribution-UseCovarianceAdaptiveAlgorithm
true
bool
DistributionFactory-BootstrapErrorTolerance
0.1
float
DistributionFactory-DefaultBootstrapSize
100
int
Dlib-DefaultInitialTrustRegionRadius
1
float
Dlib-DefaultMaxLineSearchIterations
100
int
Dlib-DefaultMaxSize
10
int
Dlib-DefaultWolfeRho
0.01
float
Dlib-DefaultWolfeSigma
0.9
float
Domain-SmallVolume
1e-12
float
Drawable-AlternativePattern
S
str
Drawable-DataThreshold
2000
int
Drawable-DefaultFillStyle
solid
str
Drawable-DefaultLineStyle
solid
str
Drawable-DefaultLineWidth
1
float
Drawable-DefaultPaletteName
Tableau
str
Drawable-DefaultPalettePhase
12
int
Drawable-DefaultPattern
s
str
Drawable-DefaultPointStyle
plus
str
Drawable-DefaultSurfaceColor
white
str
DualLinearCombinationEvaluation-SmallCoefficient
0
float
EfficientGlobalOptimization-DefaultAEITradeoff
1
float
EfficientGlobalOptimization-DefaultCorrelationLengthFactor
1
float
EfficientGlobalOptimization-DefaultImprovementFactor
0
float
EfficientGlobalOptimization-DefaultMultiStartExperimentSize
100
int
EfficientGlobalOptimization-DefaultMultiStartNumber
20
int
EfficientGlobalOptimization-DefaultOptimizationAlgorithm
Cobyla
str
EfficientGlobalOptimization-DefaultParameterEstimationPeriod
1
int
EnclosingSimplexAlgorithm-BarycentricCoordinatesEpsilon
1e-12
float
EnclosingSimplexAlgorithm-LargeDimension
5
int
Evaluation-DefaultPointNumber
129
int
Evaluation-ParameterEpsilon
1e-07
float
ExpectationSimulationAlgorithm-DefaultCoefficientOfVariationCriterionType
MAX
str
ExpectationSimulationAlgorithm-DefaultStandardDeviationCriterionType
NONE
str
ExtremeValueCopula-CheckGridSize
11
int
ExtremeValueCopula-CheckPickandFunction
true
bool
FAST-DefaultInterferenceFactor
4
int
FAST-DefaultResamplingSize
1
int
FaureSequence-InitialSeed
1
int
Fehlberg-DefaultOrder
4
int
Fehlberg-InitialStep
1e-07
float
Fehlberg-LocalPrecision
1e-10
float
Fehlberg-MinimalStep
1e-07
float
FejerAlgorithm-DefaultMarginalIntegrationPointsNumber
64
int
Field-ArrowRatio
0.01
float
Field-ArrowScaling
1
float
Field-AutomaticScaling
true
bool
Field-LevelNumber
30
int
FieldToPointConnection-BlockSize
256
int
FieldToPointFunctionalChaosAlgorithm-CopulaType
Normal
str
FieldToPointFunctionalChaosAlgorithm-DefaultRecompress
false
bool
FisherSnedecorFactory-D1LowerBound
0.01
float
FisherSnedecorFactory-D2LowerBound
0.01
float
FittingTest-ChiSquaredCheckSample
true
bool
FittingTest-ChiSquaredMinimumBinCount
5
int
FittingTest-LillieforsMaximumSamplingSize
100000
int
FittingTest-LillieforsMinimumSamplingSize
10
int
FittingTest-LillieforsPrecision
0.01
float
FrankCopulaFactory-AbsolutePrecision
1e-14
float
FrankCopulaFactory-MaximumIteration
100
int
FrankCopulaFactory-RelativePrecision
1e-14
float
FrankCopulaFactory-ResidualPrecision
1e-14
float
FrechetFactory-BoundMargin
10
float
FunctionalChaosAlgorithm-BasisSize
0
int
FunctionalChaosAlgorithm-DefaultMaximumResidual
1e-06
float
FunctionalChaosAlgorithm-FittingAlgorithm
CorrectedLeaveOneOut
str
FunctionalChaosAlgorithm-MaximumTotalDegree
10
int
FunctionalChaosAlgorithm-QNorm
0.5
float
FunctionalChaosAlgorithm-Sparse
false
bool
FunctionalChaosResult-PrintColumnWidth
15
int
FunctionalChaosResult-PrintEllipsisSize
3
int
FunctionalChaosResult-PrintEllipsisThreshold
1000
int
FunctionalChaosResult-PrintFormat
{:.7g}
str
FunctionalChaosSobolIndices-MaximumNumberOfOutput
1000
int
FunctionalChaosSobolIndices-PrintColumnWidth
15
int
FunctionalChaosSobolIndices-PrintFormat
{:.6f}
str
FunctionalChaosSobolIndices-VariancePartThreshold
0.01
float
GaussKronrod-MaximumError
1e-12
float
GaussKronrod-MaximumSubIntervals
100
int
GaussLegendre-DefaultMarginalIntegrationPointsNumber
64
int
GaussProductExperiment-DefaultMarginalSize
5
int
GaussianLinearCalibration-Method
QR
str
GaussianNonLinearCalibration-BootstrapSize
100
int
GaussianNonLinearCalibration-MultiStartSize
100
int
GaussianProcess-GibbsMaximumIteration
100
int
GeneralLinearModelAlgorithm-DefaultOptimizationAlgorithm
TNC
str
GeneralLinearModelAlgorithm-DefaultOptimizationLowerBound
0.01
float
GeneralLinearModelAlgorithm-DefaultOptimizationScaleFactor
2
float
GeneralLinearModelAlgorithm-DefaultOptimizationUpperBound
100
float
GeneralLinearModelAlgorithm-KeepCovariance
true
bool
GeneralLinearModelAlgorithm-LinearAlgebra
LAPACK
str
GeneralLinearModelAlgorithm-MeanEpsilon
1e-12
float
GeneralLinearModelAlgorithm-OptimizeParameters
true
bool
GeneralLinearModelAlgorithm-UnbiasedVariance
true
bool
GeneralLinearModelAlgorithm-UseAnalyticalAmplitudeEstimate
true
bool
GeneralizedExponential-DefaultTheta
1
float
GeneralizedExtremeValue-MMax
1000
float
GeneralizedExtremeValue-MMin
1.05
float
GeneralizedExtremeValue-XiThreshold
1e-06
float
GeneralizedExtremeValueFactory-DefaultOptimizationAlgorithm
Cobyla
str
GeneralizedExtremeValueFactory-InitializationMethod
Gumbel
str
GeneralizedExtremeValueFactory-MaximumAbsoluteError
1e-05
float
GeneralizedExtremeValueFactory-MaximumCallsNumber
10000
int
GeneralizedExtremeValueFactory-MaximumConstraintError
1e-05
float
GeneralizedExtremeValueFactory-MaximumObjectiveError
1e-05
float
GeneralizedExtremeValueFactory-MaximumRelativeError
1e-05
float
GeneralizedExtremeValueFactory-NormalizationMethod
MinMax
str
GeneralizedExtremeValueFactory-XiSearchLowerBound
-5
float
GeneralizedExtremeValueFactory-XiSearchUpperBound
5
float
GeneralizedPareto-MMax
1000
float
GeneralizedPareto-MMin
1.05
float
GeneralizedParetoFactory-DefaultOptimizationAlgorithm
Cobyla
str
GeneralizedParetoFactory-InitializationMethod
Generic
str
GeneralizedParetoFactory-MaximumAbsoluteError
1e-10
float
GeneralizedParetoFactory-MaximumConstraintError
1e-10
float
GeneralizedParetoFactory-MaximumEvaluationNumber
1000
int
GeneralizedParetoFactory-MaximumObjectiveError
1e-10
float
GeneralizedParetoFactory-MaximumRelativeError
1e-10
float
GeneralizedParetoFactory-MeanResidualLifeConfidenceLevel
0.95
float
GeneralizedParetoFactory-MeanResidualLifePointNumber
100
int
GeneralizedParetoFactory-NormalizationMethod
MinMax
str
GeneralizedParetoFactory-SmallSize
20
int
GeneralizedParetoFactory-ThresholdStabilityConfidenceLevel
0.95
float
GeneralizedParetoFactory-ThresholdStabilityPointNumber
100
int
Gibbs-DefaultUpdatingMethod
0
int
Graph-DefaultHeight
480
int
Graph-DefaultHorizontalMargin
0.05
float
Graph-DefaultLegendFontSize
1
float
Graph-DefaultVerticalMargin
0.05
float
Graph-DefaultWidth
640
int
HMatrix-AdmissibilityFactor
100
float
HMatrix-AssemblyEpsilon
0.0001
float
HMatrix-ClusteringAlgorithm
median
str
HMatrix-CompressionMethod
AcaRandom
str
HMatrix-FactorizationIterations
10
int
HMatrix-FactorizationMethod
LLt
str
HMatrix-ForceSequential
false
bool
HMatrix-LargestEigenValueIterations
10
int
HMatrix-LargestEigenValueRelativeError
0.1
float
HMatrix-MaxLeafSize
250
int
HMatrix-RecompressionEpsilon
0.0001
float
HMatrix-RegularizationEpsilon
0.0001
float
HMatrix-ValidationDump
0
int
HMatrix-ValidationError
0
float
HMatrix-ValidationRerun
0
int
HSICEstimator-InputCovarianceMatrixCacheSizeMb
1000
int
HSICEstimator-ParallelPValues
true
bool
HSICEstimator-PermutationSize
100
int
HaltonSequence-InitialSeed
1
int
HaltonSequence-Scrambling
NONE
str
HaselgroveSequence-InitialSeed
1
int
HistogramFactory-MaximumBinNumber
1024
int
HyperbolicAnisotropicEnumerateFunction-DefaultQ
0.4
float
IntervalMesher-UseDiamond
false
bool
InverseNormalFactory-Method
MLE
str
IteratedQuadrature-MaximumError
1e-07
float
IteratedQuadrature-MaximumSubIntervals
32
int
IteratedQuadrature-Rule
G3K7
str
JointDistribution-UseGenericCovarianceAlgorithm
false
bool
KDTree-leaf_max_size
10
int
KDTree-n_thread_build
4
int
KFactor-DefaultIntegrationNodesNumber
256
int
KFactor-MaximumIteration
32
int
KFactor-Precision
1e-08
float
KFold-DefaultK
10
int
KFoldSplitter-Randomize
false
bool
KarhunenLoeveP1Algorithm-CovarianceMatrixStorage
DENSE
str
KarhunenLoeveP1Algorithm-EigenvaluesSolver
LAPACK
str
KarhunenLoeveP1Algorithm-RegularizationFactor
0
float
KarhunenLoeveQuadratureAlgorithm-RegularizationFactor
0
float
KarhunenLoeveSVDAlgorithm-Halko2011Iterations
2
int
KarhunenLoeveSVDAlgorithm-Halko2011Margin
2
int
KarhunenLoeveSVDAlgorithm-RandomSVDMaximumRank
1000
int
KarhunenLoeveSVDAlgorithm-RandomSVDVariant
Halko2010
str
KarhunenLoeveSVDAlgorithm-UseRandomSVD
false
bool
KernelMixture-LargeSize
20
int
KernelMixture-PDFCDFDiscretization
1000
int
KernelMixture-SmallSize
50
int
KernelSmoothing-AbsolutePrecision
0
float
KernelSmoothing-BinNumber
1024
int
KernelSmoothing-CutOffPlugin
5
float
KernelSmoothing-MaximumIteration
50
int
KernelSmoothing-RelativePrecision
1e-05
float
KernelSmoothing-ResidualPrecision
1e-10
float
KernelSmoothing-SmallSize
250
int
KrigingAlgorithm-LinearAlgebra
LAPACK
str
Last-DefaultMaximumSize
65536
int
LeastSquaresDistributionFactory-MaximumAbsoluteError
1e-10
float
LeastSquaresDistributionFactory-MaximumCallsNumber
1000
int
LeastSquaresDistributionFactory-MaximumConstraintError
1e-10
float
LeastSquaresDistributionFactory-MaximumObjectiveError
1e-10
float
LeastSquaresDistributionFactory-MaximumRelativeError
1e-10
float
LeastSquaresExpansion-DecompositionMethod
QR
str
LeastSquaresMetaModelSelection-DecompositionMethod
SVD
str
LeastSquaresMetaModelSelection-ErrorThreshold
0
float
LeastSquaresMetaModelSelection-MaximumError
0.5
float
LeastSquaresMetaModelSelection-MaximumErrorFactor
2
float
LevelSetMesher-SolveEquation
true
bool
LinearCombinationEvaluation-SmallCoefficient
0
float
LinearLeastSquaresCalibration-Method
QR
str
LinearLeastSquaresCalibration-Regularization
1e-12
float
LinearModelAlgorithm-DecompositionMethod
QR
str
LinearModelAnalysis-Identifiers
3
int
LinearModelAnalysis-LargePValueFormat
{:.4f}
str
LinearModelAnalysis-PrintEllipsisThreshold
20
int
LinearModelAnalysis-SmallPValueFormat
{:.4e}
str
LinearModelStepwiseAlgorithm-MaximumIterationNumber
1000
int
LinearModelStepwiseAlgorithm-Penalty
2
float
LinearModelTest-DefaultDurbinWatsonHypothesis
Equal
str
LinearModelTest-DefaultHarrisonMcCabeBreakpoint
0.5
float
LinearModelTest-DefaultHarrisonMcCabeSimulationSize
1000
int
LinearModelTest-DefaultLevel
0.05
float
LogNormal-CharacteristicFunctionIntegrationNodes
256
int
LogNormal-CharacteristicFunctionSmallSigmaThreshold
0.2
float
LogNormalFactory-AbsolutePrecision
1e-12
float
LogNormalFactory-EstimationMethod
0
int
LogNormalFactory-MaximumIteration
50
int
LogNormalFactory-RelativePrecision
1e-12
float
LogNormalFactory-ResidualPrecision
1e-12
float
LowDiscrepancySequence-ScramblingSeed
0
int
MarginalDistribution-MaximumError
1e-07
float
MarginalDistribution-MaximumSubIntervals
128
int
MarginalDistribution-Rule
G15K31
str
MarginalDistribution-UsePDF
true
bool
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-LargestEigenValueIterations
50
int
Matrix-LargestEigenValueRelativeError
0.0001
float
Matrix-MaximalScaling
1e-05
float
Matrix-StartingScaling
1e-13
float
Matrix-SymmetryThreshold
1e-12
float
Matrix-size-visible-in-str-from
5
int
MaximumEntropyOrderStatisticsDistribution-CDFIntegrationNodesNumber
16
int
MaximumEntropyOrderStatisticsDistribution-CheckMarginals
true
bool
MaximumEntropyOrderStatisticsDistribution-ExponentialFactorDiscretization
100
int
MaximumEntropyOrderStatisticsDistribution-MaximumApproximationSubdivision
2
int
MaximumEntropyOrderStatisticsDistribution-MaximumQuantileIteration
10
int
MaximumEntropyOrderStatisticsDistribution-SupportShift
1e-15
float
MaximumEntropyOrderStatisticsDistribution-UseApproximation
false
bool
MaximumLikelihoodFactory-DefaultOptimizationAlgorithm
TNC
str
MaximumLikelihoodFactory-MaximumAbsoluteError
1e-10
float
MaximumLikelihoodFactory-MaximumCallsNumber
1000
int
MaximumLikelihoodFactory-MaximumConstraintError
1e-10
float
MaximumLikelihoodFactory-MaximumObjectiveError
1e-10
float
MaximumLikelihoodFactory-MaximumRelativeError
1e-10
float
MeixnerDistribution-CDFDiscretization
10000
int
MeixnerDistribution-CDFIntegrationNodesNumber
32
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-CheckValidity
false
bool
Mesh-CoordinateEpsilon
1e-14
float
Mesh-DiffuseFactor
0.7
float
Mesh-LargeSize
5000
int
Mesh-Shininess
100
float
Mesh-SpecularFactor
0.2
float
Mesh-VertexEpsilon
1e-06
float
MetaModelAlgorithm-ModelSelectionCriterion
BIC
str
MetaModelAlgorithm-NonParametricModel
Histogram
str
MetaModelAlgorithm-PValueThreshold
0.001
float
MethodOfMomentsFactory-MaximumAbsoluteError
1e-10
float
MethodOfMomentsFactory-MaximumCallsNumber
1000
int
MethodOfMomentsFactory-MaximumConstraintError
1e-10
float
MethodOfMomentsFactory-MaximumObjectiveError
1e-10
float
MethodOfMomentsFactory-MaximumRelativeError
1e-10
float
Mixture-LargeSize
20
int
Mixture-PDFCDFDiscretization
1000
int
Mixture-SmallSize
50
int
Mixture-SmallWeight
1e-12
float
MultiFORM-DefaultDelta
0.75
float
MultiFORM-DefaultGamma
1.1
float
MultiFORM-DefaultMaximumDesignPointsNumber
4
int
MultiStart-KeepResults
true
bool
Multinomial-eta
1e-09
float
Multinomial-smallA
10
float
NAIS-DefaultQuantileLevel
0.25
float
NLopt-InitialSeed
0
int
NegativeBinomialFactory-AbsolutePrecision
1e-12
float
NegativeBinomialFactory-MaximumIteration
50
int
NegativeBinomialFactory-RelativePrecision
1e-12
float
NegativeBinomialFactory-ResidualPrecision
1e-12
float
NonCenteredFiniteDifferenceGradient-DefaultEpsilon
1e-07
float
NonCentralStudent-CDFAlgo
0
int
NonLinearLeastSquaresCalibration-BootstrapSize
100
int
NonLinearLeastSquaresCalibration-MultiStartSize
100
int
Normal-MarginalIntegrationNodesNumber
16
int
Normal-MaximumCDFEpsilon
5e-06
float
Normal-MaximumNumberOfPoints
10000000
int
Normal-MinimumCDFEpsilon
0.05
float
Normal-MinimumNumberOfPoints
100000
int
Normal-SmallDimension
6
int
OptimizationAlgorithm-DefaultCheckStatus
true
bool
OptimizationAlgorithm-DefaultLevelValue
0
float
OptimizationAlgorithm-DefaultMaximumAbsoluteError
1e-05
float
OptimizationAlgorithm-DefaultMaximumCallsNumber
1000
int
OptimizationAlgorithm-DefaultMaximumConstraintError
1e-05
float
OptimizationAlgorithm-DefaultMaximumIterationNumber
100
int
OptimizationAlgorithm-DefaultMaximumRelativeError
1e-05
float
OptimizationAlgorithm-DefaultMaximumResidualError
1e-05
float
OptimizationAlgorithm-DefaultMaximumTimeDuration
-1
float
OrderStatisticsMarginalChecker-OptimizationEpsilon
1e-07
float
OrderStatisticsMarginalChecker-QuantileIteration
100
int
Os-CreateProcess
false
bool
Os-DeleteTimeout
2
int
Os-RemoveFiles
true
bool
Pagmo-InitialSeed
0
int
Pagmo-UnconstrainMethod
death penalty
str
Pagmo-bee_colony-limit
20
int
Pagmo-cmaes-c1
-1
float
Pagmo-cmaes-cc
-1
float
Pagmo-cmaes-cmu
-1
float
Pagmo-cmaes-cs
-1
float
Pagmo-cmaes-sigma0
0.5
float
Pagmo-de-CR
0.9
float
Pagmo-de-F
0.8
float
Pagmo-de-variant
2
int
Pagmo-de1220-variant_adptv
1
int
Pagmo-gaco-acc
0.01
float
Pagmo-gaco-focus
0
float
Pagmo-gaco-impstop
100000
int
Pagmo-gaco-ker
63
int
Pagmo-gaco-n_gen_mark
7
int
Pagmo-gaco-oracle
0
float
Pagmo-gaco-q
1
float
Pagmo-gaco-threshold
1
int
Pagmo-ihs-bw_max
1
float
Pagmo-ihs-bw_min
1e-05
float
Pagmo-ihs-phmcr
0.85
float
Pagmo-ihs-ppar_max
0.99
float
Pagmo-ihs-ppar_min
0.35
float
Pagmo-memory
false
bool
Pagmo-mhaco-focus
0
float
Pagmo-mhaco-ker
63
int
Pagmo-mhaco-n_gen_mark
7
int
Pagmo-mhaco-q
1
float
Pagmo-mhaco-threshold
1
int
Pagmo-moead-CR
1
float
Pagmo-moead-F
0.5
float
Pagmo-moead-decomposition
tchebycheff
str
Pagmo-moead-eta_m
20
float
Pagmo-moead-limit
2
int
Pagmo-moead-neighbours
20
int
Pagmo-moead-preserve_diversity
true
bool
Pagmo-moead-realb
0.9
float
Pagmo-moead-weight_generation
grid
str
Pagmo-nsga2-cr
0.95
float
Pagmo-nsga2-eta_c
10
float
Pagmo-nsga2-eta_m
50
float
Pagmo-nsga2-m
0.01
float
Pagmo-nspso-c1
2
float
Pagmo-nspso-c2
2
float
Pagmo-nspso-chi
1
float
Pagmo-nspso-diversity_mechanism
crowding distance
str
Pagmo-nspso-leader_selection_range
60
int
Pagmo-nspso-omega
0.6
float
Pagmo-nspso-v_coeff
0.5
float
Pagmo-pso-eta1
2.05
float
Pagmo-pso-eta2
2.05
float
Pagmo-pso-max_vel
0.5
float
Pagmo-pso-neighb_param
4
int
Pagmo-pso-neighb_type
2
int
Pagmo-pso-omega
0.7298
float
Pagmo-pso-variant
5
int
Pagmo-sade-variant
2
int
Pagmo-sade-variant_adptv
1
int
Pagmo-sga-cr
0.9
float
Pagmo-sga-crossover
exponential
str
Pagmo-sga-eta_c
1
float
Pagmo-sga-m
0.01
float
Pagmo-sga-mutation
polynomial
str
Pagmo-sga-param_m
1
float
Pagmo-sga-param_s
2
int
Pagmo-sga-selection
tournament
str
Pagmo-simulated_annealing-Tf
0.1
float
Pagmo-simulated_annealing-Ts
10
float
Pagmo-simulated_annealing-bin_size
20
int
Pagmo-simulated_annealing-n_T_adj
10
int
Pagmo-simulated_annealing-n_range_adj
1
int
Pagmo-simulated_annealing-start_range
1
float
Pagmo-xnes-eta_b
-1
float
Pagmo-xnes-eta_mu
-1
float
Pagmo-xnes-eta_sigma
-1
float
Pagmo-xnes-sigma0
-1
float
ParetoFactory-AlphaUpperBound
1000
float
Path-TemporaryDirectory
/tmp
str
PenalizedLeastSquaresAlgorithm-UseNormal
false
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
PointToFieldFunctionalChaosAlgorithm-DefaultRecompress
false
bool
PointToFieldFunctionalChaosAlgorithm-Expansion
LeastSquaresExpansion
str
PointToPointEvaluation-BlockSize
256
int
ProbabilitySimulationResult-CheckPositiveVariance
false
bool
ProbabilitySimulationResult-DefaultConfidenceLevel
0.95
float
ProductDistribution-LargeCharacteristicFunctionArgument
10
float
ProfileLikelihoodResult-AbsolutePrecision
1e-10
float
ProfileLikelihoodResult-ConfidenceIntervalMargin
0.05
float
ProfileLikelihoodResult-RelativePrecision
1e-10
float
ProfileLikelihoodResult-StartingScaling
0.01
float
ProfileLikelihoodResult-TextMargin
0.03
float
QuantileMatchingFactory-MaximumAbsoluteError
1e-10
float
QuantileMatchingFactory-MaximumCallsNumber
1000
int
QuantileMatchingFactory-MaximumConstraintError
1e-10
float
QuantileMatchingFactory-MaximumObjectiveError
1e-10
float
QuantileMatchingFactory-MaximumRelativeError
1e-10
float
RandomGenerator-InitialSeed
0
int
RandomMixture-DefaultAlpha
5
float
RandomMixture-DefaultBeta
8.5
float
RandomMixture-DefaultBlockMax
16
int
RandomMixture-DefaultBlockMin
3
int
RandomMixture-DefaultCDFEpsilon
1e-10
float
RandomMixture-DefaultMaxSize
65536
int
RandomMixture-DefaultPDFEpsilon
1e-10
float
RandomMixture-GraphCDFEpsilon
1e-05
float
RandomMixture-GraphPDFEpsilon
1e-05
float
RandomMixture-MarginalIntegrationNodesNumber
128
int
RandomMixture-MaximumIntegrationNodesNumber
1024
int
RandomMixture-MaximumSupportSize
2048
int
RandomMixture-ProjectionDefaultSize
25
int
RandomMixture-SimplifyAtoms
true
bool
RandomMixture-SmallSize
100
int
RandomWalkMetropolisHastings-DefaultAdaptationExpansionFactor
1.2
float
RandomWalkMetropolisHastings-DefaultAdaptationLowerBound
0.117
float
RandomWalkMetropolisHastings-DefaultAdaptationPeriod
30
int
RandomWalkMetropolisHastings-DefaultAdaptationShrinkFactor
0.8
float
RandomWalkMetropolisHastings-DefaultAdaptationUpperBound
0.468
float
RandomWalkMetropolisHastings-DefaultBurnIn
1000
int
RankSobolSensitivityAlgorithm-DefaultBootstrapSampleRatio
0.8
float
ReverseHaltonSequence-InitialSeed
1
int
RiceFactory-AbsolutePrecision
1e-12
float
RiceFactory-MaximumIteration
10
int
RiceFactory-RelativePrecision
1e-12
float
RiceFactory-ResidualPrecision
1e-12
float
RootStrategy-DefaultMaximumDistance
8
float
RootStrategy-DefaultStepSize
1
float
SQP-DefaultOmega
0.0001
float
SQP-DefaultSmooth
1.2
float
SQP-DefaultTau
0.5
float
Sample-CSVFileSeparator
;
str
Sample-CSVFormat
scientific
str
Sample-CSVPrecision
16
int
Sample-CommentMarkers
#
str
Sample-PrintEllipsisSize
3
int
Sample-PrintEllipsisThreshold
1000
int
Sample-PrintFormat
{:.7g}
str
Sample-SmallKendallTau
23
int
SimplicialCubature-DefaultMaximumAbsoluteError
0
float
SimplicialCubature-DefaultMaximumCallsNumber
10000
int
SimplicialCubature-DefaultMaximumRelativeError
1e-05
float
SimplicialCubature-DefaultRule
3
int
SimulationAlgorithm-DefaultBlockSize
1
int
SimulationAlgorithm-DefaultMaximumCoefficientOfVariation
0.1
float
SimulationAlgorithm-DefaultMaximumOuterSampling
1000
int
SimulationAlgorithm-DefaultMaximumStandardDeviation
0
float
SimulationAlgorithm-DefaultMaximumTimeDuration
-1
float
SimulationSensitivityAnalysis-DefaultSampleMargin
400
int
SmolyakExperiment-MergeAbsoluteEpsilon
1e-08
float
SmolyakExperiment-MergeQuadrature
true
bool
SmolyakExperiment-MergeRelativeEpsilon
1e-08
float
SobolIndicesAlgorithm-DefaultBlockSize
1
int
SobolIndicesAlgorithm-DefaultBootstrapConfidenceLevel
0.95
float
SobolIndicesAlgorithm-DefaultBootstrapSize
100
int
SobolIndicesAlgorithm-DefaultUseAsymptoticDistribution
false
bool
SobolIndicesExperiment-SamplingMethod
MonteCarlo
str
SobolSequence-InitialSeed
1
int
SobolSimulationAlgorithm-DefaultBatchSize
1
int
SobolSimulationAlgorithm-DefaultBlockSize
1000
int
SobolSimulationAlgorithm-DefaultIndexQuantileEpsilon
0.01
float
SobolSimulationAlgorithm-DefaultIndexQuantileLevel
0.05
float
Solver-DefaultAbsoluteError
1e-05
float
Solver-DefaultMaximumFunctionEvaluation
100
int
Solver-DefaultRelativeError
1e-05
float
Solver-DefaultResidualError
0
float
SparseMethod-ErrorThreshold
0.001
float
SparseMethod-MaximumErrorFactor
2
float
SpecFunc-MaximumIteration
1000
int
SpecFunc-Precision
2e-16
float
SpectralGaussianProcess-CholeskyCacheSize
16384
int
SpectralGaussianProcess-MaximalScaling
1e-05
float
SpectralGaussianProcess-StartingScaling
1e-13
float
SpectralModel-DefaultFrequencyNumber
129
int
SpectralModel-DefaultMaximumFrequency
5
float
SpectralModel-DefaultMinimumFrequency
-5
float
SquaredExponential-DefaultTheta
1
float
StrongMaximumTest-DefaultDeltaPrecision
1e-07
float
StrongMaximumTest-Epsilon
1e-10
float
Student-MarginalIntegrationNodesNumber
16
int
Student-MaximumCDFEpsilon
5e-06
float
Student-MaximumNumberOfPoints
10000000
int
Student-MinimumCDFEpsilon
0.05
float
Student-MinimumNumberOfPoints
100000
int
Student-SmallDimension
6
int
StudentCopulaFactory-DefaultOptimizationAlgorithm
Cobyla
str
StudentCopulaFactory-MaximumAbsoluteError
1e-10
float
StudentCopulaFactory-MaximumCallsNumber
1000
int
StudentCopulaFactory-MaximumConstraintError
1e-10
float
StudentCopulaFactory-MaximumObjectiveError
1e-10
float
StudentCopulaFactory-MaximumRelativeError
1e-10
float
StudentCopulaFactory-NuMax
100
float
StudentCopulaFactory-NuMin
2
float
StudentCopulaFactory-NuStart
5
float
StudentFactory-NuMax
1000
float
SubsetSampling-DefaultConditionalProbability
0.1
float
SubsetSampling-DefaultMaximumOuterSampling
10000
int
SubsetSampling-DefaultProposalRange
2
float
SymbolicParser-Backend
ExprTk
str
SymbolicParserExprTk-MaxNodeDepth
10000
int
SymbolicParserExprTk-MaxStackDepth
400
int
SymbolicParserExprTk-SmallSize
100
int
SymbolicParserMuParser-SmallSize
1000
int
SystemFORM-MaximalScaling
1e-05
float
SystemFORM-StartingScaling
1e-13
float
TBB-ThreadsNumber
4
int
TNC-DefaultAccuracy
0.0001
float
TNC-DefaultEta
0.25
float
TNC-DefaultFmin
1
float
TNC-DefaultMaxCGit
50
int
TNC-DefaultRescale
1.3
float
TNC-DefaultStepmx
10
float
Tensor-size-visible-in-str-from
5
int
Text-DefaultTextSize
0.75
float
TrapezoidalFactory-MaximumIteration
2000
int
TrapezoidalFactory-RhoBeg
0.1
float
TrapezoidalFactory-RhoEnd
1e-05
float
TruncatedDistribution-DefaultThresholdRealization
0.5
float
TruncatedNormalFactory-SigmaLowerBound
0.0001
float
TruncatedOverMesh-MarginalIntegrationNodesNumber
64
int
TruncatedOverMesh-MaximumIntegrationNodesNumber
262144
int
TruncatedOverMesh-OptimizationAlgorithm
TNC
str
UniVariatePolynomial-SmallDegree
400
int
UniformOverMesh-MarginalIntegrationNodesNumber
64
int
UniformOverMesh-MaximumIntegrationNodesNumber
262144
int
UserDefined-SmallSize
10000
int
View-ImageFormat
png
str
VisualTest-CloudMediumSize
1000
int
VisualTest-CloudSmallSize
100
int
VisualTest-DependenceConfidenceLevel
0.95
float
VisualTest-KendallPlot-MonteCarloSize
100
int
VonMisesFactory-AbsolutePrecision
1e-12
float
VonMisesFactory-MaximumIteration
10
int
VonMisesFactory-RelativePrecision
1e-12
float
VonMisesFactory-ResidualPrecision
1e-12
float
WeightedExperiment-DefaultSize
100
int
WhittleFactory-DefaultMaximumCallsNumber
2000
int
WhittleFactory-DefaultRhoBeg
0.1
float
WhittleFactory-DefaultRhoEnd
1e-10
float
WhittleFactory-DefaultStartingPointScale
1
float
WhittleFactory-RootEpsilon
1e-06
float
XMLStorageManager-DefaultCompressionLevel
0
int
Examples
Get some keys:
>>> import openturns as ot >>> for key in ot.ResourceMap.GetKeys()[:4]: ... print(key) ARMA-MeanEpsilon ARMALikelihoodFactory-DefaultMaximumCallsNumber ARMALikelihoodFactory-DefaultRhoBeg ARMALikelihoodFactory-DefaultRhoEnd
Methods
AddAsBool
(key, value)Add a new boolean parameter.
AddAsScalar
(key, value)Add a new floating-point parameter.
AddAsString
(key, value)Add a new string parameter.
AddAsUnsignedInteger
(key, value)Add a new integer parameter.
FindKeys
(substr)Find keys matching a pattern.
Get
(key)Access a parameter.
GetAsBool
(key)Access a boolean parameter.
GetAsScalar
(key)Access a floating-point parameter.
GetAsString
(key)Access a string parameter.
GetAsUnsignedInteger
(key)Access an integer parameter.
Get the bool keys of the ResourceMap.
Get the size of the bool map in ResourceMap.
GetKeys
()Get the keys of the ResourceMap.
Get the float keys of the ResourceMap.
Get the size of the float map in ResourceMap.
GetSize
()Get the size of the ResourceMap.
Get the string keys of the ResourceMap.
Get the size of the string map in ResourceMap.
GetType
(key)Access the type of a parameter.
Get the unsigned integer keys of the ResourceMap.
Get the size of the unsigned integer map in ResourceMap.
HasKey
(key)Check if an entry exists.
Reload
()Reload the configuration.
RemoveKey
(key)Remove an entry.
Set
(key, value)Access an existing parameter.
SetAsBool
(key, value)Set an existing boolean parameter.
SetAsScalar
(key, value)Set an existing floating-point parameter.
SetAsString
(key, value)Set an existing string parameter.
SetAsUnsignedInteger
(key, value)Set an existing integer parameter.
- __init__(*args, **kwargs)¶
- static AddAsBool(key, value)¶
Add a new 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, int or str).
Examples
>>> import openturns as ot >>> ot.ResourceMap.AddAsBool('MaximumEntropyOrderStatisticsDistribution-CheckMarginals2', True) >>> ot.ResourceMap.RemoveKey('MaximumEntropyOrderStatisticsDistribution-CheckMarginals2')
- static AddAsScalar(key, value)¶
Add a new 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 (str, int or bool).
Examples
>>> import openturns as ot >>> ot.ResourceMap.AddAsScalar('SQP-DefaultTau2', 0.5) >>> ot.ResourceMap.RemoveKey('SQP-DefaultTau2')
- static AddAsString(key, value)¶
Add a new string 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, int or bool).
Examples
>>> import openturns as ot >>> ot.ResourceMap.AddAsString('View-ImageFormat2', 'png') >>> ot.ResourceMap.RemoveKey('View-ImageFormat2')
- static AddAsUnsignedInteger(key, value)¶
Add a new integer parameter.
- Parameters:
- keystr
An identifier associated to the parameter.
- valueint
The value associated to that key. The key is added to the integer map even if it already exists in another map (float, str or bool).
Examples
>>> import openturns as ot >>> ot.ResourceMap.AddAsUnsignedInteger('RandomWalkMetropolisHastings-DefaultBurnIn2', 0) >>> ot.ResourceMap.RemoveKey('RandomWalkMetropolisHastings-DefaultBurnIn2')
- static FindKeys(substr)¶
Find keys matching a pattern.
- Parameters:
- substrstr
A pattern to search.
- Returns:
- valuesequence of str
The keys matching the pattern.
Examples
>>> import openturns as ot >>> ot.ResourceMap.FindKeys('Multinomial') ('Multinomial-eta', 'Multinomial-smallA')
- 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 string 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('RandomWalkMetropolisHastings-DefaultBurnIn') 1000
- 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, possible values are ‘str’,’int’,’float’ or ‘bool’
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 int identifiers.
- static GetUnsignedIntegerSize()¶
Get the size of the unsigned integer map in ResourceMap.
- Returns:
- sizepositive int
The number of int constants defined in the ResourceMap.
- static HasKey(key)¶
Check if an entry exists.
- Parameters:
- keystr
An identifier associated to the parameter.
- Returns:
- has_keybool
Whether an entry with that key exists.
- static Reload()¶
Reload the configuration.
Reverts the values of the default keys and erases new keys.
- static RemoveKey(key)¶
Remove an entry.
- Parameters:
- keystr
An identifier associated to the parameter.
Examples
>>> import openturns as ot >>> ot.ResourceMap.AddAsString('dummy_key', 'key_to_be_removed') >>> ot.ResourceMap.RemoveKey('dummy_key')
- static Set(key, value)¶
Access an existing 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 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)¶
Set an existing 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, int or str).
Examples
>>> import openturns as ot >>> ot.ResourceMap.SetAsBool('MaximumEntropyOrderStatisticsDistribution-CheckMarginals', True)
- static SetAsScalar(key, value)¶
Set an existing 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 (str, int or bool).
Examples
>>> import openturns as ot >>> ot.ResourceMap.SetAsScalar('SQP-DefaultTau', 0.5)
- static SetAsString(key, value)¶
Set an existing string 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, int or bool).
Examples
>>> import openturns as ot >>> ot.ResourceMap.SetAsString('View-ImageFormat', 'png')
- static SetAsUnsignedInteger(key, value)¶
Set an existing integer parameter.
- Parameters:
- keystr
An identifier associated to the parameter.
- valueint
The value associated to that key. The key is added to the integer map even if it already exists in another map (float, str or bool).
Examples
>>> import openturns as ot >>> ot.ResourceMap.SetAsUnsignedInteger('RandomWalkMetropolisHastings-DefaultBurnIn', 1000)
Examples using the class¶
A quick start guide to the Point and Sample classes
Fit an extreme value distribution
Fitting a distribution with customized maximum likelihood
Fit a distribution from an input sample
Create a polynomial chaos for the Ishigami function: a quick start guide to polynomial chaos
Cross Entropy Importance Sampling
Calibration of the flooding model