So Spark ML is going to be the actively developed Machine Learning library
going forward, however back in Spark 1.5 it was still relatively new and an
experimental component so not all of the the save/load support implemented
for the same models. That being said for 2.0 ML doesn't have PMML export
HI,
i don't have any idea why we have to library ML and mlib
ml you can use it with data frame and mllib with rdd but ml have some lakes
like:
save model most important if you want create web api with score
my question why we don't have all features in MLlib on ML ?
( i use pyspark 1.5.0
