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Graph Data Science client 1.1.0 release candidate 1

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@adamnsch adamnsch released this 02 Jun 09:31
· 2644 commits to main since this release
1.1.0rc1
ecd13e2

The first release candidate of version 1.1.0 of graphdatascience, the GDS Python client, has been published to PyPI!

Highlights:

  • Added support for auto tuning for machine learning pipelines.
  • Added support for providing ranges as length two tuples to addLogisticRegression and addRandomForest.
  • Added support for new GDS library 2.1 signature of gds.graph.removeNodeProperties.
  • Added support for new function gds.close which calls .close() on a GraphDataScience object's underlying Neo4j driver.
  • Added new method gds.alpha.graph.construct to construct a GDS graph from pandas DataFrames. When running against a GDS library with its Apache Arrow server enabled it will be a lot faster.
  • Added support for new nodeRegression pipelines.
  • New convenience methods on the Graph object.

A full list of changes can be found in the changelog.

The release can be pip installed with pip install graphdatascience==1.1.0rc1.

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