StatisticsProjectSettings#

class SamplingMethod(*values)#

Bases: Enum

MONTE_CARLO = 1#

LATIN_HYPERCUBE = 2#

RESPONSE_SURFACE = 3#

class AnalysisType(*values)#

Bases: Enum

GLOBAL_MINIMUM = 1#

OVERALL_SLOPE = 2#

class SpatialCovarianceFunction(*values)#

Bases: Enum

MARKOVIAN = 1#

MARKOVIAN_1D_SEPERABLE = 2#

GAUSSIAN = 3#

class StatisticsProjectSettings(model_id: str, client: Client)#

Bases: object

Examples: Code Snippet: Statistics Example

Statistics (probability) project settings for probabilistic analysis.

getPerformProbabilityAnalysis() → bool#

setPerformProbabilityAnalysis(perform: bool)#

getSamplingMethod() → SamplingMethod#

setSamplingMethod(method: SamplingMethod)#

getNumSamples() → int#

setNumSamples(num: int)#

getAnalysisType() → AnalysisType#

setAnalysisType(analysis_type: AnalysisType)#

getPerformSensitivityAnalysis() → bool#

setPerformSensitivityAnalysis(enable: bool)#

getPerformSpatialAnalysis() → bool#

setPerformSpatialAnalysis(perform: bool)#

getSpatialCovarianceFunction() → SpatialCovarianceFunction#

setSpatialCovarianceFunction(func: SpatialCovarianceFunction)#

getSpatialAutoMesh() → bool#

setSpatialAutoMesh(use: bool)#