Frequently Asked Questions#
Q. How do I wrap my model?#
See this guide on wrapping models.
Q. Which technique can I use for pre-existing results?#
DMIM, RBD-FAST, PAWN and HDMR methods are “given-data” approaches and can be independently applied.
Q. How do I get the sensitivity results?#
.to_df() method if you would like Pandas DataFrames.
If using the SALib Interface, see SALib Interface Basics.
Q. How can I plot my results?#
SALib provides some basic plotting functionality. See the subsection “Basic Plotting” in SALib Interface Basics
See also, these examples.
Q. Why does the Sobol’ method implemented in SALib normalize outputs?#
Estimates of Sobol’ indices can be biased in cases where model outputs are non-centered. We have opted to normalize outputs with the standard deviation.
See the discussion here.
In practice, non-normalized model outputs are still usable but requires larger sample sizes for the indices to converge.