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Published May 2, 2025 | Version v2.4.2
Software Open

CliMA/EnsembleKalmanProcesses.jl: v2.4.2

Authors/Creators

  • 1. Caltech
  • 2. University of Melbourne @unimelb
  • 3. Google Research
  • 4. BBVA
  • 5. University of Reading
  • 6. Massachusetts Institute of Technology, @CliMA
  • 7. Istanbul University
  • 8. CliMA/Caltech
  • 9. University of Trento
  • 10. Scripps Institution of Oceanography
  • 11. DevTech Compute @NVIDIA
  • 12. University of Maryland

Description

EnsembleKalmanProcesses v2.4.2

Diff since v2.4.1

Changes

  • new error metrics, retrievable with get_error_metrics(ekp) and get_error(ekp) computed from compute_error! (see docstrings for more information)
  • new quick-plot tools with Makie (and docs) see Visualizations
  • new getters for get_obs(ekp, iteration) and get_obs_noise_cov(ekp,iteration) to help with getting stuff from minibatched observation series

Merged pull requests:

  • Add Makie extension for plotting (#482) (@ph-kev)
  • compute_error! bugfix, and add some more error metrics (#484) (@odunbar)
  • Update Project.toml to v2.4.2 (#490) (@odunbar)

Closed issues:

  • with NaNs, the error is computed is NaN (#483)
  • Improve getters for learning rate and observation (#487)
  • TransformUnscented throws error for large ensemble size (#488)

Files

CliMA/EnsembleKalmanProcesses.jl-v2.4.2.zip

Files (2.5 MB)

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md5:5e3cbbc498d27430f6aac658e54ab019
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Additional details

Related works

Is supplement to
Software: https://github.com/CliMA/EnsembleKalmanProcesses.jl/tree/v2.4.2 (URL)

Software

Repository URL
https://github.com/CliMA/EnsembleKalmanProcesses.jl