5.2.2. Version 2.5.0 (December 31, 2020)
Extend the uq module to support: - More efficient sampling, especially when most of the random variables in the model are either independent or perfectly correlated. - More accurate and more efficient fitting of multivariate probability distributions to raw EDP data. - Arbitrary marginals (beyond the basic Normal and Lognormal) for joint distributions. - Latin Hypercube Sampling
Introduce external auto-population scripts and provide an example for hurricane assessments.
Add a script to help users convert HDF files to CSV (HDF_to_CSV.py under tools)
Use unique and standardized attribute names in the input files
Migrate to the latest version of Python, numpy, scipy, and pandas (see setup.py for required minimum versions of those tools).
Bug fixes and minor improvements to support user needs: - Add 1.2 scale factor for EDPs controlling non-directional Fragility Groups. - Remove dependency on scipy’s truncnorm function to avoid long computation times due to a bug in recent scipy versions.