Hi Reynold,
I was wondering if you meant cross language or cross platform? Thanks
On 12.07.2016 19:57, Reynold Xin wrote:
Also Java serialization isn't great for cross platform compatibility.
On Tuesday, July 12, 2016, aka.fe2s <aka.f...@gmail.com
<mailto:aka.f...@gmail.com>> wrote:
Okay, I think I found an answer on my question. Some models (for
instance
org.apache.spark.mllib.recommendation.MatrixFactorizationModel)
hold RDDs, so just serializing these objects will not work.
--
Oleksiy Dyagilev
On Tue, Jul 12, 2016 at 5:40 PM, aka.fe2s <aka.f...@gmail.com
<javascript:_e(%7B%7D,'cvml','aka.f...@gmail.com');>> wrote:
What is the reason Spark has an individual implementations of
read/write routines for every model in mllib and ml? (Saveable
and MLWritable trait impls)
Wouldn't a generic implementation via Java serialization
mechanism work? I would like to use it to store the models to
a custom storage.
--
Oleksiy
--
Salih Gedik
