Anyone knows anything about it? Or should I actually move this topic to a
MLlib specif mailing list? Any information is appreciated! Thanks!
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I'm interested in this topic too :)
Are the MLLib core devs on this list ?
E/
2014-06-24 14:19 GMT+02:00 holdingonrobin robinholdin...@gmail.com:
Anyone knows anything about it? Or should I actually move this topic to a
MLlib specif mailing list? Any information is appreciated! Thanks!
There is a method in org.apache.spark.mllib.util.MLUtils called kFold
which will automatically partition your dataset for you into k train/test
splits at which point you can build k different models and aggregate the
results.
For example (a very rough sketch - assuming I want to do 10-fold cross
Thanks Evan! I think it works!
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Hello,
I noticed there are some discussions about implementing K-fold validation to
Mllib on Spark and believe it should be in Spark-1.0 now. However there
isn't any documentation or example about how to use it in the training.
While I am reading the code to find out, does anyone use it
