GraSPy v0.0.1

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.