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1.1.0.md

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Changes in 1.1.0

Breaking changes

New features

  • Added support for new configureAutoTuning method on NC and LP pipelines.
  • Added support for providing ranges as length two tuples to addLogisticRegression and addRandomForest.
  • Added new method auto_tuning_config to NC and LP pipelines for querying a pipelines auto-tuning config.
  • 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 new function gds.database which can be used to see which database is currently being targeted.
  • Added support for new nodeRegression pipelines.
  • Added the following new convenience methods to the Graph object:
    • node_labels which returns a list of the node labels in the graph,
    • relationship_types which returns a list of the relationship types in the graph,
    • database which returns the name of the database the graph was projected onto,
    • configuration which returns the configuration used to create the graph,
    • creation_time which returns time when the graph was created,
    • modification_time which returns time when the graph was last modified.
  • Added new convenience method gds.is_licensed to check if the targeted GDS server library is licensed.

Bug fixes

Improvements

  • The functions gds.graph.streamNodeProperty, gds.graph.streamNodeProperties, gds.graph.streamRelationshipProperty and gds.graph.streamRelationshipProperties can leverage the Arrow Flight server of GDS to improve throughput.
  • The calls to gds.graph.streamNodeProperties and gds.graph.streamRelationshipProperties can now return data in an improved format.
    • By setting separate_property_columns to True the return format will be nodeId, property1, property2, ... and sourceNodeId, targetNodeId, relationshipType, property1, property2, ....
  • Improved error message of gds.graph.get to include currently targeted database if graph not found.
  • Added inline progress bar for project and algorithm procedures with adequate server logging support.
  • The drop convenience method on graph, model and pipeline objects now accepts optional parameter failIfMissing which defaults to False.
  • The drop convenience method on graph, model and pipeline objects now returns what is yielded from the underlying call to the server.
  • The arguments to the node_properties and relationship_properties convenience methods on Graph objects are now optional. If no argument is given, a pandas Series mapping labels/types to lists of properties is returned.

Other changes