Stratified Cross Validator for Spark
Spark Stratifier is a tool with a class extension of the current Spark CrossValidator class. It is aimed to stratify datasets in order to eliminate inconsistent cross validations when working with datasets containing unbalanced classes. It is currently built on numpy and Spark, and provides efficient dataset stratifications.
To learn more, please follow this link to our Github repo_.
.. _Github repo: https://github.com/interviewstreet/spark-stratifier
FAQs
Stratified Cross Validator for Spark
We found that spark-stratifier demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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