If you used RandomForestClassifier from mllib you can use the save method described in http://spark.apache.org/docs/1.5.0/api/python/pyspark.mllib.html#module-pyspark.mllib.classification which will write out some JSON metadata as well as parquet for the actual model. For the newer ml pipeline one it seems that the writable traits were added on April 8th to master - so it isn't available yet.
On Mon, Jul 18, 2016 at 2:58 AM, pseudo oduesp <pseudo20...@gmail.com> wrote: > Hi, > how i can save model under pyspakr 1.5.0 ? > i use RandomForestClassifier() > thanks in advance. > -- Cell : 425-233-8271 Twitter: https://twitter.com/holdenkarau
