GraSPy 0.2
Highlights
This release is the result of over 8 months of work with over 25 pull requests by
10 contributors. Highlights include:
- Added
AutoGMMCluster
incluster
submodule.AutoGMMCluster
is Python equivalent tomclust
in R. - Added
subgraph
submodule, which detects vertices that maximally correlates to given features. - Added
match
submodule. Used for matching vertices from a pair of graphs with unknown vertex correspondence. - Added functions for simulating a pair of correlated ER and SBM graphs.
Improvements
- Diagonal augmentation is default behavior in AdjacencySpectralEmbed.
- Added functionality in
to_laplace
to allow for directed graphs. - Updated docstrings.
- Updated documentation website.
- Various bug fixes.
API Changes
- Added
**kwargs
argument forheatmap
.