python.uq.dists.DataDist.DataDist Class Reference

Inheritance diagram for python.uq.dists.DataDist.DataDist:

Public Member Functions
	__init__ (self, samples, bounds=None)
	__str__ (self)
	cdf (self, p, *args, **kws)
	fromJson (cls, jsonObject)
	getBounds (self)
	getDim (self)
	mean (self)
	pdf (self, p, *args, **kws)
	ppf (self, p, *args, **kws)
	rvs (self, n=1)
	std (self)
	toJson (self)
	var (self)

Public Attributes
	samples

Detailed Description

Models a discrete distribution given by data

Constructor & Destructor Documentation

__init__()

python.uq.dists.DataDist.DataDist.__init__	(		self,
			samples,
			bounds = None
	)

Constructor. There are some restrictions to the samples:
As they represent the underlying probability, they have to be drawn
iid.
@param samples: numpy array (num_samples x num_dims)
@param bounds: numpy array  (num_dims x 2)

Member Function Documentation

__str__()

python.uq.dists.DataDist.DataDist.__str__

(

self

)

References python.uq.dists.DataDist.DataDist.__bounds, python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__dim, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__dim, python.uq.dists.Corr.Corr.__dim, python.uq.dists.DataDist.DataDist.__dim, python.uq.dists.J.J.__dim, python.uq.dists.MultivariateNormal.MultivariateNormal.__dim, python.uq.learner.builder.GridDescriptor.GridDescriptor.__dim, python.uq.parameters.ParameterSet.ParameterSet.__dim, python.uq.dists.DataDist.DataDist.__n, python.uq.dists.J.J.__n, python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.__n, python.uq.parameters.ParameterBuilder.GeneralParameterBuilder.__n, python.uq.parameters.ParameterSet.ParameterSet.__n, and python.uq.transformation.JointTransformation.JointTransformation.__n.

cdf()

python.uq.dists.DataDist.DataDist.cdf	(		self,
			p,
		*	args,
		**	kws
	)

References python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__dim, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__dim, python.uq.dists.Corr.Corr.__dim, python.uq.dists.DataDist.DataDist.__dim, python.uq.dists.J.J.__dim, python.uq.dists.MultivariateNormal.MultivariateNormal.__dim, python.uq.learner.builder.GridDescriptor.GridDescriptor.__dim, python.uq.parameters.ParameterSet.ParameterSet.__dim, sgpp::base::Distribution.samples(), python.uq.dists.DataDist.DataDist.samples, python.uq.dists.LibAGFDist.LibAGFDist.samples, python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.samples, python.uq.sampler.asgc.ASGCSampler.ASGCSampler.samples, python.uq.sampler.MCSampler.MCSampler.samples, python.uq.sampler.Sample.SamplesIterator.samples, and sgpp::datadriven::SparseGridDensityEstimator.samples.

fromJson()

python.uq.dists.DataDist.DataDist.fromJson	(		cls,
			jsonObject
	)

Restores the Beta object from the json object with its
attributes.

Arguments:
jsonObject -- json object

Return the restored UQSetting object

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().

getBounds()

python.uq.dists.DataDist.DataDist.getBounds

(

self

)

References python.uq.dists.DataDist.DataDist.__bounds.

Referenced by python.uq.dists.J.J.discretize(), and python.uq.dists.Dist.Dist.l2error().

getDim()

python.uq.dists.DataDist.DataDist.getDim

(

self

)

References python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__dim, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__dim, python.uq.dists.Corr.Corr.__dim, python.uq.dists.DataDist.DataDist.__dim, python.uq.dists.J.J.__dim, python.uq.dists.MultivariateNormal.MultivariateNormal.__dim, python.uq.learner.builder.GridDescriptor.GridDescriptor.__dim, and python.uq.parameters.ParameterSet.ParameterSet.__dim.

Referenced by python.uq.dists.SGDEdist.SGDEdist.__str__(), python.uq.dists.Dist.Dist.cov(), python.uq.parameters.ParameterSet.ParameterSet.extractActiveSubset(), python.uq.dists.KDEDist.KDEDist.getBandwidths(), python.uq.dists.EstimatedDist.EstimatedDist.getBounds(), and python.uq.uq_setting.UQSetting.UQSetting.getDim().

mean()

python.uq.dists.DataDist.DataDist.mean

(

self

)

References sgpp::base::Distribution.samples(), python.uq.dists.DataDist.DataDist.samples, python.uq.dists.LibAGFDist.LibAGFDist.samples, python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.samples, python.uq.sampler.asgc.ASGCSampler.ASGCSampler.samples, python.uq.sampler.MCSampler.MCSampler.samples, python.uq.sampler.Sample.SamplesIterator.samples, and sgpp::datadriven::SparseGridDensityEstimator.samples.

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMoments(), python.uq.analysis.mc.MCAnalysis.MCAnalysis.computeMoments(), python.uq.dists.LibAGFDist.LibAGFDist.var(), and python.uq.dists.SGDEdist.SGDEdist.var().

pdf()

python.uq.dists.DataDist.DataDist.pdf	(		self,
			p,
		*	args,
		**	kws
	)

References python.uq.dists.DataDist.DataDist.__n, python.uq.dists.J.J.__n, python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.__n, python.uq.parameters.ParameterBuilder.GeneralParameterBuilder.__n, python.uq.parameters.ParameterSet.ParameterSet.__n, python.uq.transformation.JointTransformation.JointTransformation.__n, and python.uq.dists.DataDist.DataDist.__sampleToIndex.

Referenced by python.uq.dists.Dist.Dist.crossEntropy(), python.uq.dists.J.J.discretize(), python.uq.dists.Dist.Dist.klDivergence(), and python.uq.dists.Dist.Dist.l2error().

ppf()

python.uq.dists.DataDist.DataDist.ppf	(		self,
			p,
		*	args,
		**	kws
	)

Referenced by python.uq.dists.EstimatedDist.EstimatedDist.rvs(), python.uq.dists.NatafDist.NatafDist.rvs(), python.uq.dists.KDEDist.KDEDist.rvs(), and python.uq.dists.SGDEdist.SGDEdist.rvs().

rvs()

python.uq.dists.DataDist.DataDist.rvs	(		self,
			n = 1
	)

References sgpp::base::Distribution.samples(), python.uq.dists.DataDist.DataDist.samples, python.uq.dists.LibAGFDist.LibAGFDist.samples, python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.samples, python.uq.sampler.asgc.ASGCSampler.ASGCSampler.samples, python.uq.sampler.MCSampler.MCSampler.samples, python.uq.sampler.Sample.SamplesIterator.samples, and sgpp::datadriven::SparseGridDensityEstimator.samples.

std()

python.uq.dists.DataDist.DataDist.std

(

self

)

References sgpp::datadriven::BayesianOptimization.var(), python.uq.dists.Beta.Beta.var(), python.uq.dists.DataDist.DataDist.var(), python.uq.dists.Dist.Dist.var(), python.uq.dists.J.J.var(), python.uq.dists.KDEDist.KDEDist.var(), python.uq.dists.LibAGFDist.LibAGFDist.var(), python.uq.dists.Lognormal.Lognormal.var(), python.uq.dists.Normal.Normal.var(), python.uq.dists.SGDEdist.SGDEdist.var(), python.uq.dists.TNormal.TNormal.var(), python.uq.dists.Uniform.Uniform.var(), python.uq.estimators.Estimator.Estimator.var(), python.uq.estimators.SparseGridEstimator.SparseGridEstimator.var(), python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.var(), python.uq.estimators.CollocationPointsStrategy.CollocationPointsStrategy.var(), python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.var(), python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy.var(), python.uq.analysis.Analysis.Analysis.var(), and python.uq.estimators.MCEstimator.MCEstimator.var().

toJson()

python.uq.dists.DataDist.DataDist.toJson

(

self

)

Returns a string that represents the object

Arguments:

Return A string that represents the object

References python.uq.dists.DataDist.DataDist.__bounds, sgpp::base::Distribution.samples(), python.uq.dists.DataDist.DataDist.samples, python.uq.dists.LibAGFDist.LibAGFDist.samples, python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.samples, python.uq.sampler.asgc.ASGCSampler.ASGCSampler.samples, python.uq.sampler.MCSampler.MCSampler.samples, python.uq.sampler.Sample.SamplesIterator.samples, and sgpp::datadriven::SparseGridDensityEstimator.samples.

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().

var()

python.uq.dists.DataDist.DataDist.var

(

self

)

References sgpp::base::Distribution.samples(), python.uq.dists.DataDist.DataDist.samples, python.uq.dists.LibAGFDist.LibAGFDist.samples, python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.samples, python.uq.sampler.asgc.ASGCSampler.ASGCSampler.samples, python.uq.sampler.MCSampler.MCSampler.samples, python.uq.sampler.Sample.SamplesIterator.samples, and sgpp::datadriven::SparseGridDensityEstimator.samples.

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMoments(), python.uq.analysis.mc.MCAnalysis.MCAnalysis.computeMoments(), python.uq.dists.Dist.Dist.cov(), python.uq.dists.DataDist.DataDist.std(), python.uq.dists.Dist.Dist.std(), and python.uq.dists.J.J.std().

Member Data Documentation

samples

python.uq.dists.DataDist.DataDist.samples

Referenced by python.uq.sampler.Sample.SamplesIterator.__next__(), python.uq.dists.DataDist.DataDist.cdf(), python.uq.dists.DataDist.DataDist.mean(), python.uq.dists.DataDist.DataDist.rvs(), python.uq.dists.LibAGFDist.LibAGFDist.rvs(), python.uq.dists.DataDist.DataDist.toJson(), and python.uq.dists.DataDist.DataDist.var().

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

• datadriven/python/uq/dists/DataDist.py