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-DefaultMaximumEvaluationNumber	10000	int
ARMALikelihoodFactory-DefaultRhoBeg	0.01	float
ARMALikelihoodFactory-DefaultRhoEnd	1e-10	float
ARMALikelihoodFactory-DefaultStartingPointScale	1	float
ARMALikelihoodFactory-MaximalScaling	1e-05	float
ARMALikelihoodFactory-RootEpsilon	1e-06	float
ARMALikelihoodFactory-StartingScaling	1e-13	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-DefaultMaximumEvaluationNumber	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
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
ComposedDistribution-UseGenericCovarianceAlgorithm	false	bool
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-DefaultLevelsNumber	10	int
CovarianceModel-DefaultNuggetFactor	1e-12	float
CovarianceModel-DefaultPointNumber	129	int
CovarianceModel-DefaultTMax	5	float
CovarianceModel-DefaultTMin	-5	float
DesignProxy-DefaultCacheSize	16777216	int
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-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-DefaultColor	blue	str
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
Drawable-NoSpecifiedLabel	‘ ‘	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-DefaultParameterEstimationPeriod	1	int
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
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
GaussianProcess-MaximalScaling	1e-05	float
GaussianProcess-StartingScaling	1e-13	float
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-MaximalScaling	1e-05	float
GeneralLinearModelAlgorithm-MeanEpsilon	1e-12	float
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	int
GeneralizedParetoFactory-MaximumObjectiveError	1e-10	float
GeneralizedParetoFactory-MaximumRelativeError	1e-10	float
GeneralizedParetoFactory-SmallSize	20	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
Graph-NoSpecifiedLabel	‘ ‘	str
Graph-RExecutableCommand	R	str
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-PermutationSize	100	int
HaltonSequence-InitialSeed	1	int
HaltonSequence-Scrambling	NONE	str
HaselgroveSequence-InitialSeed	1	int
HyperbolicAnisotropicEnumerateFunction-DefaultQ	0.4	float
IntervalMesher-UseDiamond	false	bool
InverseNormalFactory-Method	MLE	str
IteratedQuadrature-MaximumError	1e-07	float
IteratedQuadrature-MaximumSubIntervals	32	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
KrigingAlgorithm-MaximalScaling	1e-05	float
KrigingAlgorithm-StartingScaling	1e-13	float
Last-DefaultMaximumSize	65536	int
LeastSquaresMetaModelSelection-DecompositionMethod	SVD	str
LeastSquaresMetaModelSelection-ErrorThreshold	0	float
LeastSquaresMetaModelSelection-MaximumError	0.5	float
LeastSquaresMetaModelSelection-MaximumErrorFactor	2	float
LinearCombinationEvaluation-SmallCoefficient	0	float
LinearLeastSquaresCalibration-Method	QR	str
LinearLeastSquaresCalibration-Regularization	1e-12	float
LinearModelAlgorithm-DecompositionMethod	QR	str
LinearModelAnalysis-Identifiers	3	int
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
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-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-MaximumConstraintError	1e-10	float
MaximumLikelihoodFactory-MaximumEvaluationNumber	1000	int
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-MaximumConstraintError	1e-10	float
MethodOfMomentsFactory-MaximumEvaluationNumber	1000	int
MethodOfMomentsFactory-MaximumObjectiveError	1e-10	float
MethodOfMomentsFactory-MaximumRelativeError	1e-10	float
MetropolisHastings-DefaultBurnIn	0	int
MetropolisHastings-DefaultThinning	1	int
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-DefaultRhoQuantile	0.25	float
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
OS-DeleteTimeout	2	int
OptimizationAlgorithm-DefaultLevelValue	0	float
OptimizationAlgorithm-DefaultMaximumAbsoluteError	1e-05	float
OptimizationAlgorithm-DefaultMaximumConstraintError	1e-05	float
OptimizationAlgorithm-DefaultMaximumEvaluationNumber	1000	int
OptimizationAlgorithm-DefaultMaximumIterationNumber	100	int
OptimizationAlgorithm-DefaultMaximumRelativeError	1e-05	float
OptimizationAlgorithm-DefaultMaximumResidualError	1e-05	float
OrderStatisticsMarginalChecker-OptimizationEpsilon	1e-07	float
OrderStatisticsMarginalChecker-QuantileIteration	100	int
Os-CreateProcess	false	bool
Os-RemoveFiles	true	bool
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-pso_gen-eta1	2.05	float
Pagmo-pso_gen-eta2	2.05	float
Pagmo-pso_gen-max_vel	0.5	float
Pagmo-pso_gen-neighb_param	4	int
Pagmo-pso_gen-neighb_type	2	int
Pagmo-pso_gen-omega	0.7298	float
Pagmo-pso_gen-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
PointToPointEvaluation-BlockSize	256	int
ProbabilitySimulationResult-CheckPositiveVariance	false	bool
ProbabilitySimulationResult-DefaultConfidenceLevel	0.95	float
ProductDistribution-LargeCharacteristicFunctionArgument	10	float
QuantileMatchingFactory-MaximumAbsoluteError	1e-10	float
QuantileMatchingFactory-MaximumConstraintError	1e-10	float
QuantileMatchingFactory-MaximumEvaluationNumber	1000	int
QuantileMatchingFactory-MaximumObjectiveError	1e-10	float
QuantileMatchingFactory-MaximumRelativeError	1e-10	float
QuantileMatchingFactory-QuantileEpsilon	0.01	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	100	int
RandomWalkMetropolisHastings-DefaultAdaptationShrinkFactor	0.8	float
RandomWalkMetropolisHastings-DefaultAdaptationUpperBound	0.468	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-SmallKendallTau	23	int
SimulationAlgorithm-DefaultBlockSize	1	int
SimulationAlgorithm-DefaultMaximumCoefficientOfVariation	0.1	float
SimulationAlgorithm-DefaultMaximumOuterSampling	1000	int
SimulationAlgorithm-DefaultMaximumStandardDeviation	0	float
SimulationSensitivityAnalysis-DefaultSampleMargin	400	int
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
StudentFactory-NuMax	1000	float
SubsetSampling-DefaultBetaMin	2	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
TensorApproximationAlgorithm-DecompositionMethod	SVD	str
TensorApproximationAlgorithm-DefaultMaximumAlternatingLeastSquaresIteration	100	int
TensorApproximationAlgorithm-DefaultMaximumRadiusError	1e-05	float
TensorApproximationAlgorithm-DefaultMaximumResidualError	1e-05	float
TensorApproximationAlgorithm-Method	GreedyRankOne	str
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
UniVariatePolynomial-SmallDegree	400	int
UserDefined-SmallSize	10000	int
View-ImageFormat	png	str
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-DefaultMaximumEvaluationNumber	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-DefaultMaximumEvaluationNumber
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.
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.
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('MetropolisHastings-DefaultBurnIn2', 0)
>>> ot.ResourceMap.RemoveKey('MetropolisHastings-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('MetropolisHastings-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, 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('MetropolisHastings-DefaultBurnIn', 0)

Examples using the class

Fit an extreme value distribution

Fit an extreme value distribution