ChaospyDistribution

class ChaospyDistribution(dist)

Allow one to override Distribution from a chaospy distribution.

Parameters:

dista chaospy distribution

The distribution to wrap. It is currently limited to stochastically independent distributions as chaopy distributions doesn’t implement CDF computation for dependencies.

Examples

>>> import openturns as ot
>>> import chaospy as cp  
>>> chaospy_dist = cp.J(cp.Triangular(1.0, 2.0, 3.0), cp.F(4.0, 5.0))  
>>> distribution = ot.Distribution(ot.ChaospyDistribution(chaospy_dist))  
>>> distribution.getRealization()  

Methods

computeCDF(X)	CDF accessor.
getDimension()	Dimension accessor.

computePDF
computeQuantile
computeScalarQuantile
getKurtosis
getMean
getMoment
getRange
getRealization
getSample
getSkewness
getStandardDeviation

__init__(dist)

Constructor.

computeCDF(X)

CDF accessor.

getDimension()

Dimension accessor.