API Reference#
The Probabilistic Library provides functionality to perform reliability, uncertainty and sensitivity analyses via a probabilistic_library.project.ReliabilityProject, probabilistic_library.project.UncertaintyProject or probabilistic_library.project.SensitivityProject.
Using an externally defined model as a python script, the Probabilistic Library derives input and output values. They will be provided to the user as probabilistic_library.statistic.Stochasts, so that the user can provide uncertainty to them.
When running an analysis, the result is a probabilistic_library.reliability.DesignPoint, probabilistic_library.uncertainty.UncertaintyResult or probabilistic_library.sensitivity.SensitivityResult.
- Project
- Statistics
- Reliability
AlphaCombineSettingsCombineTypeCombinerMethodCompareTypeDesignPointDesignPointIdsDesignPointMethodExcludingCombineSettingsExcludingCombinerMethodFragilityCurveFragilityCurveProjectGradientTypeLimitStateFunctionMessageTypeReliabilityMethodReliabilityResultSampleMethodSettingsStartMethodStochastSettings
- Uncertainty
- Sensitivity
- Utils