v3.3.0

Resolved merge conflicts

v3.2.0

add release note entry (#1040)

v3.1.0

3.1.0 release (#1033)

* add release notes

* bump version

v3.0.0

Update release.rst (#1022)

v2.0.1

Added release notes for 2.0.1 (#1003)

v2.0.0

Fix seaborn syntax

v1.0.0

bump hyppo again

v0.3.1

Fixing formatting from trying to do this using the github editor

GraSPy 0.3

Announcement: GraSPy 0.3

We're happy to announce the release of GraSPy 0.3! 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 5 months of work with over 11 pull requests by
7 contributors. Highlights include:

• Added seeded graph matching as a capability for graph matching, renamed graph matching class to GraphMatch
• Added functions for simulating a pair of correlated RDPG graphs.
• Deprecated Python 3.5
• Added different backend hypothesis tests for the LatentDistributionTest from Hyppo
• Added a correction to make LatentDistributionTest valid for differently sized graphs

Improvements

• Updated default value of rescale in RDPG simulation
• Updated default value of scaled in MASE estimation
• Improved error throwing in AutoGMM
• Clarified the API for inference submodule

API Changes

• FastApproximateQAP was renamed to GraphMatch
• fit method of LatentDistributionTest and LatentPositionTest now returns self instead of a p-value

Deprecations

• Python 3.5

Contributors to this release

• Jaewon Chung
• Benjamin Pedigo
• Ali Saad-Eldin
• Shan Qiu
• Bijan Varjavand
• Anton Alyakin (new contributor!)
• Casey Weiner (new contributor!)

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 in cluster submodule. AutoGMMCluster is Python equivalent to mclust 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 for heatmap.