python.uq.transformation.RosenblattTransformation.RosenblattTransformation Class Reference

Inheritance diagram for python.uq.transformation.RosenblattTransformation.RosenblattTransformation:

Public Member Functions
	__init__ (self, dist)
	__str__ (self)
	fromJson (cls, jsonObject)
	getSize (self)
	probabilisticToUnit (self, q)
	toJson (self)
	unitToProbabilistic (self, p)
	vol (self)

Protected Attributes
	_dist

Detailed Description

The inverse CDF transformation class

Constructor & Destructor Documentation

__init__()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.__init__	(		self,
			dist
	)

Constructor

References python.uq.transformation.RosenblattTransformation.RosenblattTransformation.__init__().

Referenced by python.uq.transformation.RosenblattTransformation.RosenblattTransformation.__init__().

Member Function Documentation

__str__()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.__str__

(

self

)

fromJson()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.fromJson	(		cls,
			jsonObject
	)

Referenced by python.learner.Learner.Learner.setMemento(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.setMemento(), python.uq.learner.Learner.Learner.setMemento(), python.uq.sampler.asgc.ASGCSampler.ASGCSampler.setMemento(), and python.uq.uq_setting.UQSetting.UQSetting.setMemento().

getSize()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.getSize

(

self

)

References python.uq.dists.Beta.Beta._dist, python.uq.dists.Lognormal.Lognormal._dist, python.uq.dists.Normal.Normal._dist, python.uq.dists.TNormal.TNormal._dist, python.uq.dists.Uniform.Uniform._dist, python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor._dist, python.uq.parameters.UncertainParameter.UncertainParameter._dist, and python.uq.transformation.RosenblattTransformation.RosenblattTransformation._dist.

Referenced by python.uq.uq_setting.UQSetting.UQSetting.convert(), python.uq.uq_setting.UQSetting.UQSetting.getTimeDependentResults(), python.uq.uq_setting.UQSetting.UQSetting.runSamples(), and python.uq.uq_setting.UQSetting.UQSetting.runSamples_withoutDistribution().

probabilisticToUnit()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.probabilisticToUnit	(		self,
			q
	)

Performs the CDF function of the given distribution on p
@param q: numeric value in the probabilistic space
@return: numeric value in [0, 1]

References python.uq.dists.Beta.Beta._dist, python.uq.dists.Lognormal.Lognormal._dist, python.uq.dists.Normal.Normal._dist, python.uq.dists.TNormal.TNormal._dist, python.uq.dists.Uniform.Uniform._dist, python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor._dist, python.uq.parameters.UncertainParameter.UncertainParameter._dist, and python.uq.transformation.RosenblattTransformation.RosenblattTransformation._dist.

Referenced by python.uq.transformation.JointTransformation.JointTransformation.probabilisticToUnitMatrix().

toJson()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.toJson

(

self

)

Returns a string that represents the object

References python.uq.dists.Beta.Beta._dist, python.uq.dists.Lognormal.Lognormal._dist, python.uq.dists.Normal.Normal._dist, python.uq.dists.TNormal.TNormal._dist, python.uq.dists.Uniform.Uniform._dist, python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor._dist, python.uq.parameters.UncertainParameter.UncertainParameter._dist, and python.uq.transformation.RosenblattTransformation.RosenblattTransformation._dist.

Referenced by python.uq.sampler.asgc.ASGCSampler.ASGCSampler.__str__(), python.uq.uq_setting.UQSetting.UQSetting.__str__(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.createMemento(), python.uq.sampler.asgc.ASGCSampler.ASGCSampler.createMemento(), and python.uq.uq_setting.UQSetting.UQSetting.createMemento().

unitToProbabilistic()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.unitToProbabilistic	(		self,
			p
	)

Performs the PPF function of the given distribution on p which
has to be in [0, 1]
@param p: numeric value in [0, 1]
@return: numeric value in the probabilistic space

References python.uq.dists.Beta.Beta._dist, python.uq.dists.Lognormal.Lognormal._dist, python.uq.dists.Normal.Normal._dist, python.uq.dists.TNormal.TNormal._dist, python.uq.dists.Uniform.Uniform._dist, python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor._dist, python.uq.parameters.UncertainParameter.UncertainParameter._dist, and python.uq.transformation.RosenblattTransformation.RosenblattTransformation._dist.

Referenced by python.uq.transformation.JointTransformation.JointTransformation.unitToProbabilisticMatrix().

vol()

python.uq.transformation.RosenblattTransformation.RosenblattTransformation.vol

(

self

)

Member Data Documentation

_dist

python.uq.transformation.RosenblattTransformation.RosenblattTransformation._dist

protected

Referenced by python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.andGetResult(), python.uq.dists.Beta.Beta.cdf(), python.uq.dists.Lognormal.Lognormal.cdf(), python.uq.dists.Normal.Normal.cdf(), python.uq.dists.TNormal.TNormal.cdf(), python.uq.dists.Uniform.Uniform.cdf(), python.uq.parameters.UncertainParameter.UncertainParameter.getCount(), python.uq.parameters.UncertainParameter.UncertainParameter.getDistribution(), python.uq.transformation.RosenblattTransformation.RosenblattTransformation.getSize(), python.uq.dists.Beta.Beta.mean(), python.uq.dists.Uniform.Uniform.mean(), python.uq.dists.Beta.Beta.pdf(), python.uq.dists.Lognormal.Lognormal.pdf(), python.uq.dists.Normal.Normal.pdf(), python.uq.dists.TNormal.TNormal.pdf(), python.uq.dists.Uniform.Uniform.pdf(), python.uq.dists.Beta.Beta.ppf(), python.uq.dists.Lognormal.Lognormal.ppf(), python.uq.dists.Normal.Normal.ppf(), python.uq.dists.TNormal.TNormal.ppf(), python.uq.dists.Uniform.Uniform.ppf(), python.uq.transformation.RosenblattTransformation.RosenblattTransformation.probabilisticToUnit(), python.uq.dists.Beta.Beta.rvs(), python.uq.dists.Lognormal.Lognormal.rvs(), python.uq.dists.Normal.Normal.rvs(), python.uq.dists.TNormal.TNormal.rvs(), python.uq.dists.Uniform.Uniform.rvs(), python.uq.parameters.UncertainParameter.UncertainParameter.setDistribution(), python.uq.dists.Beta.Beta.std(), python.uq.dists.Uniform.Uniform.std(), python.uq.transformation.RosenblattTransformation.RosenblattTransformation.toJson(), python.uq.transformation.RosenblattTransformation.RosenblattTransformation.unitToProbabilistic(), python.uq.dists.Beta.Beta.var(), python.uq.dists.Uniform.Uniform.var(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withBetaDistribution(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withDistribution(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withLinearTransformation(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withLognormalDistribution(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withMultivariateNormalDistribution(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withNormalDistribution(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withRosenblattTransformation(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withSampleDistribution(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withTLognormalDistribution(), python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withTNormalDistribution(), and python.uq.parameters.ParameterDescriptor.UncertainParameterDesciptor.withUniformDistribution().

---

The documentation for this class was generated from the following file:

• datadriven/python/uq/transformation/RosenblattTransformation.py