Release Notes: GraSPy 0.0.1

We’re happy to announce the release of GraSPy 0.0.1! GraSPy is a Python package for understanding the properties of random graphs that arise from modern datasets, such as social networks and brain networks.

For more information, please visit our website and our tutorials.

Highlights

This release is the result of over two years of work with 238 commits and 35 merges by 4 contributors. Highlights include: - Fast implementation of dimensionailty reduction using different implementation of SVD. - Single and multiple graph embedding methods. - Methods for preprocessing graphs for meaningful embeddings. - Hypothesis testing, specifically semiparametric testing of two graphs. - Methods for clustering vertices or population of graphs - Plotting functions for visualization of graphs and high dimensional data.

API Changes

All classes are based on scikit-learn’s API, making the use familiar.

Deprecations

None.

Contributors to this release

• Jaewon Chung

• Benjamin Pedigo

• Eric Bridgeford

• Bijan Varjavand