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https://issues.apache.org/jira/browse/SPARK-10915?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15586159#comment-15586159
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Tobi Bosede commented on SPARK-10915:
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Ah ok. Well maybe we can implement an interquartile (IQR) range aggregate
function specifically as another measure of spread in addition to sample and
population variance. I believe percent_rank give percentile/quantile, but the
documentation on this is not clear. It is a window function I believe. Not sure
if it can be used as an aggregate function. If so an interquartile aggregate
function would be easy.
Also, is [~mgummelt] the right Michael to comment on UDAFs in spark? He has not
responded.
> Add support for UDAFs in Python
> -------------------------------
>
> Key: SPARK-10915
> URL: https://issues.apache.org/jira/browse/SPARK-10915
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Reporter: Justin Uang
>
> This should support python defined lambdas.
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