Github user holdenk commented on the pull request: https://github.com/apache/incubator-spark/pull/572#issuecomment-34671873 Sure, I'll take a look at that tonight. From the earlier pull request that was abandoned someone had asked that its PartionedRDD (which only did it for k=2) be in the core rather than mllib. On Mon, Feb 10, 2014 at 11:04 AM, Xiangrui Meng <notificati...@github.com>wrote: > @holdenk <https://github.com/holdenk> , the PartitionwiseSampledRDD was > designed with this use case in mind. Both the folded RDD and its complement > can be represented by PartitionwiseSampledRDD with BernoulliSamplers. Do > you mind modifying your code to use it? Also, cross-validation is a machine > learning specific operation. spark.rdd.RDD may not be a good place for it. > > -- > Reply to this email directly or view it on GitHub<https://github.com/apache/incubator-spark/pull/572#issuecomment-34668194> > . > -- Cell : 425-233-8271
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