Release Notes: GraSPy 0.1¶
We're happy to announce the release of GraSPy 0.1! GraSPy is a Python package for understanding the properties of random graphs that arise from modern datasets, such as social networks and brain networks.
This release is the result of over 2 months of work with over 18 pull requests by 3 contributors. Highlights include:
MultipleASE, which is a new method for embedding population of graphs.
pipielinemodule, which learns a feature vector for population of graphs.
- Improved contribution guidelines.
- Fixed bugs in
symmeterizefunction now uses
avgas default method.
datasetmodule loading errors.
- Improve underlying ER sampling code.