gemseo.uncertainty.distributions.scipy package#
Scipy-based capabilities for probability distributions.
This package interfaces capabilities from the SciPy library.
Interfaced distributions#
This package implements the abstract classes BaseDistribution
and BaseJointDistribution
.
Classical distributions#
This module also implements a deliberately limited selection
of classical probability distributions
in a user-friendly way: SPExponentialDistribution
,
SPNormalDistribution
, SPTriangularDistribution
,
and SPUniformDistribution
. More precisely,
the argument whose nature is a dictionary of keyword parameters
is replaced with several user-defined keyword arguments.
In this way, the use writes SPUniformDistribution('x', -1., 3.)
or SPUniformDistribution('x', minimum=-1., maximum=3.)
instead of SPDistribution('x', 'Uniform', {"loc": -1, "scale": 4})
.
Furthermore, these classes inheriting from SPDistribution
are documented in such a way that a newbie could easily apprehend them.
Joint probability distribution#
A SPDistribution
has a SPDistribution.JOINT_DISTRIBUTION_CLASS
attribute referencing SPJointDistribution
which is a class to build a joint probability distribution
related to given random variables from a list of SPDistribution
objects
implementing the probability distributions of these variables
based on the SciPy library and from a copula name.
Note
A copula is a mathematical function used to define the dependence between random variables from their cumulative density functions. See more.
Submodules#
- gemseo.uncertainty.distributions.scipy.beta module
- gemseo.uncertainty.distributions.scipy.distribution module
- gemseo.uncertainty.distributions.scipy.exponential module
- gemseo.uncertainty.distributions.scipy.factory module
- gemseo.uncertainty.distributions.scipy.joint module
- gemseo.uncertainty.distributions.scipy.log_normal module
- gemseo.uncertainty.distributions.scipy.normal module
- gemseo.uncertainty.distributions.scipy.triangular module
- gemseo.uncertainty.distributions.scipy.uniform module
- gemseo.uncertainty.distributions.scipy.weibull module