Releases: rmcar17/SpectralClusterSupertree
Releases · rmcar17/SpectralClusterSupertree
2024.5.6
Summary
Fixes numerous typos in docs, and updates packages to latest.
What's Changed
- Bump mypy from 1.8.0 to 1.9.0 by @dependabot in #36
- Bump mypy from 1.8.0 to 1.9.0 by @rmcar17 in #37
- Bump black from 24.2.0 to 24.3.0 by @dependabot in #38
- Bump black from 24.3.0 to 24.4.0 by @dependabot in #39
- Bump scikit-learn from 1.4.1.post1 to 1.4.2 by @dependabot in #40
- Update develop by @rmcar17 in #42
- Fix Typos by @rmcar17 in #43
- Update to post2 by @rmcar17 in #44
- Update version number by @rmcar17 in #45
- Update version number to post2 by @rmcar17 in #46
- Update version number to post2 by @rmcar17 in #47
- Bump mypy from 1.9.0 to 1.10.0 by @dependabot in #50
- Bump black from 24.4.0 to 24.4.2 by @dependabot in #51
- update version number by @rmcar17 in #52
Full Changelog: 2024.2.29.post1...2024.5.6
2024.2.29.post1
Changelog
Update README to include PyPI version badge and installation instructions.
2024.2.29
Spectral Cluster Supertree Release Notes
First release of sc-supertree
, the package has now been published on PyPI!
Line-separated Newick formatted source trees can be loaded from file with this package's load_trees
function, or constructed using cogent3's make_tree
.
The Spectral Cluster Supertree algorithm can be run in Python with the construct_tree
function.
Alternatively, the scs
CLI can be used to construct supertrees from the terminal.
See the documentation for further specifics on usage.