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pelicun v2.5
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@zsarnoczay zsarnoczay released this 01 Jan 04:38
· 1313 commits to master since this release
v2.5
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Learn about vigilant mode.
  • 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.
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