SG++-Doxygen-Documentation
|
Public Member Functions | |
def | __init__ (self, dists) |
def | __str__ (self) |
def | fromJson (cls, jsonObject) |
def | getBounds (self) |
def | getDim (self) |
def | getDistributions (self) |
def | pdf (self, x) |
def | rvs (self, n=1) |
def | toJson (self) |
Models the multivariate distribution of correlated
def python.uq.dists.Corr.Corr.__init__ | ( | self, | |
dists | |||
) |
References python.uq.dists.Corr.Corr.__dim, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__dim, python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__dim, and python.uq.dists.Corr.Corr.__dists.
def python.uq.dists.Corr.Corr.__str__ | ( | self | ) |
References python.uq.dists.Corr.Corr.__dists.
def python.uq.dists.Corr.Corr.fromJson | ( | cls, | |
jsonObject | |||
) |
Restores the Corr object from the json object with its attributes. @param jsonObject: json object @return: the restored Corr object
Referenced by python.uq.sampler.asgc.ASGCSampler.ASGCSampler.setMemento(), python.uq.learner.Learner.Learner.setMemento(), and python.uq.uq_setting.UQSetting.UQSetting.setMemento().
def python.uq.dists.Corr.Corr.getBounds | ( | self | ) |
References python.uq.dists.Corr.Corr.__dists.
Referenced by python.uq.dists.J.J.discretize(), and python.uq.dists.Dist.Dist.l2error().
def python.uq.dists.Corr.Corr.getDim | ( | self | ) |
References python.uq.dists.Corr.Corr.__dim, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__dim, and python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__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().
def python.uq.dists.Corr.Corr.getDistributions | ( | self | ) |
References python.uq.dists.Corr.Corr.__dists.
Referenced by python.uq.parameters.ParameterSet.ParameterSet.getIndependentJointDistribution().
def python.uq.dists.Corr.Corr.pdf | ( | self, | |
x | |||
) |
When x is correlated to y, but y not to x then the joint probability density is defined as p(x, y) = p(x|y) * p(y) The correlation is described as a tuple (x, (y, )).
References python.uq.dists.Corr.Corr.__dim, python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.__dim, python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__dim, and python.uq.dists.Corr.Corr.__dists.
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().
def python.uq.dists.Corr.Corr.rvs | ( | self, | |
n = 1 |
|||
) |
References python.uq.dists.Corr.Corr.__dists.
def python.uq.dists.Corr.Corr.toJson | ( | self | ) |
Returns a string that represents the object
References sgpp::combigrid.join().
Referenced by python.uq.sampler.asgc.ASGCSampler.ASGCSampler.__str__(), python.uq.uq_setting.UQSetting.UQSetting.__str__(), python.uq.sampler.asgc.ASGCSampler.ASGCSampler.createMemento(), and python.uq.uq_setting.UQSetting.UQSetting.createMemento().