v0.8.2 splink_graph update for spark 3.1.1 and graphframes 0.8.2

splink_graph updated so it works on contemporary version of Spark (3.1.1) and graphframes (0.8.2 )

Full Changelog: v0.5.0...v0.8.2

v0.5.0 documentation update and a few more metrics

What's Changed

• Create DOCUMENTATION.md by @EKenning in #81
• add num of articulation pts cluster metric by @mamonu in #79
• Create splink_graph_guide.md by @EKenning in #82
• Update splink_graph_guide.md by @EKenning in #84
• Mamonu docs patch 1 by @mamonu in #83
• Mamonu doc patch 2 by @mamonu in #85
• add graph_hashes with edge attributes by @mamonu in #86

New Contributors

• @EKenning made their first contribution in #81

Full Changelog: v0.4.21...v0.5

v0.4.21 latest version with fixes and some new cluster metrics

What's Changed

• Update TERMINOLOGY.md by @pratibha-vellanki in #66
• Assortativity cluster metric added by @mamonu in #67
• Fix problem with num_bridges issue 71 by @RobinL in #74
• remove rounding and simplify expressions by @RobinL in #75
• Degeneracy cluster metric added by @mamonu in #78

New Contributors

• @pratibha-vellanki made their first contribution in #66

Full Changelog: v0.4.19...v0.4.21

v0.4.19 latest version with small fixes

main additions from previous release:

• support for python 3.6 added and tested
• graph hash function has its own pandas_udf

version to be used in AWS Glue and ONS DAP

• small fixes

v0.4.12 added connected components

added connected components functionality

• graphframes (working in a distributed manner) version / needs jars (included) / util functions help setting up
• networkx (working on local master node) version since not every case needs scale
• nx based cc also saves optionaly each subcluster in networkx edgelist format (this is useful for embeddings ... tested and it works)

added number of bridges cluster metric

• number of bridges cluster metric is added. Useful for finding problematic clusters/subgraphs

v0.4.9 API for demos etc

Merge pull request #42 from moj-analytical-services/APIfixes

fix some default parameter nonsense i had on edge_metrics

more consistent API

From this release owardn, functions to be seperated logically in appropriate submodules:

eg

from splink_graph.cluster_metrics import x
from splink_graph.node_metrics import x
from splink_graph.edge_metrics import x

Also column names are more consistent.

splink-graph 0.3.12

• added more cluster statistics functions
• added custom fields to pandas udf functions
• added more tests

Tidy up and consolidate cluster statistics functionality

• linting
• diameter_radius_transitivity function added in order to get most important cluster statistics
  from one pandas_udf function