gsa-module
Package¶
gsa-module
is a Python3 package implementing several global sensitivity
analysis methods for computer/simulation experiments.
The implementation is based on a black-box approach where the computer model
(or any generic function) is externally implemented to the module itself.
The module accepts the model outputs and the design of experiment (optional,
only for certain methods) and compute the associated sensitivity measures.
The package also includes routines to generate normalized design of experiment
file to be used in the simulation experiment based on several algorithms (such
as simple random sampling or latin hypercube) as well as simple routines to
post-processed multivariate raw code output such as its maximum, minimum, or
average.
The general calculation flow chart involved in using the gsa-module
can
be seen in the figure below.