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.
This PR fixes the description of how to use public partititions. The code has been updated to pass public_partitions to dp_enging.aggregate, but the description still referred to the Params class.
Affected Dependencies
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Description
This PR fixes the description of how to use public partititions. The code has been updated to pass public_partitions to dp_enging.aggregate, but the description still referred to the Params class.
Affected Dependencies
List any dependencies that are required for this change.
How has this been tested?
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