SG++
python.uq.sampler.Sample.SampleType Class Reference

## Static Public Attributes

int ACTIVEPROBABILISTIC = 2

int ACTIVEUNIT = 1

int EXPANDEDPROBABILISTIC = 4

int EXPANDEDUNIT = 3

## Detailed Description

Describes the type of a sample:
An active sample is a sample that just contains uncertain
parameters for which no deterministic value has been specified.
This allows to increase the number of uncertain parameters step
by step and reuse the results. Because the sparse grid is used
just on the unit hyper cube we distinguish four different
classes of samples:
1) active unit: the tuple just contains the active parameters,
which are scaled to the unit hyper cube
2) active probabilistic: the tuple contains the active parameters,
which are scaled to the probabilistic space
3) expanded unit: the tuple contains all parameters, and they are
scaled to the unit hyper cube
4) expanded probabilistic: the tuple contains all parameters, and they
are scaled to the probabilistic space


## Member Data Documentation

 int python.uq.sampler.Sample.SampleType.ACTIVEPROBABILISTIC = 2
static
 int python.uq.sampler.Sample.SampleType.ACTIVEUNIT = 1
static
 int python.uq.sampler.Sample.SampleType.EXPANDEDPROBABILISTIC = 4
static
 int python.uq.sampler.Sample.SampleType.EXPANDEDUNIT = 3
static

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