Releases: djgagne/hagelslag
Releases · djgagne/hagelslag
v0.6
Hagelslag 0.6 features a significantly sped-up hysteresis segmentation algorithm using numba and sped-up tracking by making the cross-correlation step optional. Backend changes have been made to update dependencies and make installation easier.
What's Changed
- Updated setup.py to not depend on external files by @djgagne in #42
- Documentation updates by @djgagne in #43
- Mpas by @charlie-becker in #44
- Update environment.yml by @ThomasMGeo in #46
- Speedups to segmentation by @djgagne in #47
New Contributors
- @ThomasMGeo made their first contribution in #46
Full Changelog: v0.5...v0.6
v0.5
What's Changed
- HRRR-Zarr Streaming by @charlie-becker in #36
- Hrrr zarr by @charlie-becker in #37
- Updating environment, grib2 writing support, version by @djgagne in #38
- Updated documentation and code by @djgagne in #41
- Updated setup.py to not depend on external files by @djgagne in #42
New Contributors
- @charlie-becker made their first contribution in #36
Full Changelog: v0.4.0b1...v0.5b1
v0.4.0b1
v0.2-Sprinkles
Hagelslag v0.2-Sprinkles
New Features
Hagelslag comes with a full suite of distributed probabilistic verification classes. You can generate ROC and reliability scores and easily combine and bootstrap them to understand the uncertainty in your forecast evaluation process.