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https://issues.apache.org/jira/browse/SPARK-3278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14355119#comment-14355119
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Vladimir Vladimirov commented on SPARK-3278:
--------------------------------------------
Martin.
This would be really nice.
Is it possible to run isotonic regression on the data I'll provide? (~150-200M
records).
The answers I'm looking for - how long it would take to train the model on this
data set, how much resources it would take on a cluster and confirm that it
won't blow spark.
I'll export values in format <float1>, <float2> per line - similar to how it is
described in the doc
http://people.apache.org/~pwendell/spark-1.3.0-rc1-docs/mllib-isotonic-regression.html
?
Where float1 - is between 0 and 1. And float2 - is 0 or 1
> Isotonic regression
> -------------------
>
> Key: SPARK-3278
> URL: https://issues.apache.org/jira/browse/SPARK-3278
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Xiangrui Meng
> Assignee: Martin Zapletal
> Fix For: 1.3.0
>
>
> Add isotonic regression for score calibration.
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