Routines and data structures for using isarn-sketches idiomatically in Apache Spark
This release is a substantial reorganization relative to previous releases, including two major changes:
Some of the object paths have changed to adapt to the Spark API. Refer to the examples on the main README page.
If you want to use the TDigest aggregations involving Data Frame schema with Array types, you will need Spark 3.0.1 or higher.
Feature Importance Pipelines
Scala UDAFs for TDigest