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v1.0.2 source code.tar.gz (22.1 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2023-02-15 | 1.1 kB | |
| v0.7.0 source code.tar.gz | 2023-02-15 | 22.6 MB | |
| v0.7.0 source code.zip | 2023-02-15 | 22.7 MB | |
| Totals: 3 Items | 45.3 MB | 0 | |
Changes
- By default, we now add jitter to non-random initialization schemes. This has almost no effect on the resulting visualizations, but helps avoid potential problems when points are initialized at identical positions (#225)
- By default, the learning rate is now calculated as
N/exaggeration. This speeds up convergence of the resulting embedding. Note that the learning rate during the EE phase will differ from the learning rate during the standard phase. Additionally, we setmomentum=0.8in both phases. Before, it was 0.5 during EE and 0.8 during the standard phase. This, again, speeds up convergence. (#220) - Add
PrecomputedAffinitiesto wrap square affinity matrices (#217)
Build changes
- Build
universal2macos wheels enabling ARM support (#226)
Bug Fixes
- Fix BH collapse for smaller data sets (#235)
- Fix
updatesin optimizer not being stored correctly between optimization calls (#229) - Fix
inplace=Trueoptimization changing the initializations themselves in some rare use-cases (#225)
As usual, a special thanks to @dkobak for helping with practically all of these bugs/changes.