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.
Dimension accessor.
computePDF
computeQuantile
computeScalarQuantile
getKurtosis
getMean
getMoment
getRange
getRealization
getSample
getSkewness
getStandardDeviation
- __init__(dist)¶
Constructor.
- computeCDF(X)¶
CDF accessor.
- getDimension()¶
Dimension accessor.