PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
Introduces CrossPartitionCombiner for computing utility global (i.e. cross-partition) analysis metrics
All information about partitions (incl. partition selection) is now in PartitionMetrics (previously PrivatePartitionSelectionMetrics ), which addresses one of the inconsitencies previosly that Count Metrics contain information about partitions
This PR
PartitionMetrics
(previouslyPrivatePartitionSelectionMetrics
), which addresses one of the inconsitencies previosly that Count Metrics contain information about partitions