errr...do you have any suggestions for me before 1.3 release?
I can't believe there's no ML model serialize method in Spark. I think
training the models are quite expensive, isn't it?
Thanks,
David
On Sun, Mar 8, 2015 at 5:14 AM Burak Yavuz brk...@gmail.com wrote:
Hi,
There is model
You dont need SparkContext to simply serialize and deserialize objects. It
is Java mechanism.
On Mar 8, 2015 10:29 AM, Xi Shen davidshe...@gmail.com wrote:
errr...do you have any suggestions for me before 1.3 release?
I can't believe there's no ML model serialize method in Spark. I think
You may also take a look at PredictionIO, which can persist and then deploy
MLlib models as web services.
Simon
On Sunday, March 8, 2015, Sean Owen so...@cloudera.com wrote:
You dont need SparkContext to simply serialize and deserialize objects. It
is Java mechanism.
On Mar 8, 2015 10:29 AM,
Ah~it is serializable. Thanks!
On Sat, Mar 7, 2015 at 10:59 PM Ekrem Aksoy ekremak...@gmail.com wrote:
You can serialize your trained model to persist somewhere.
Ekrem Aksoy
On Sat, Mar 7, 2015 at 12:10 PM, Xi Shen davidshe...@gmail.com wrote:
Hi,
I checked a few ML algorithms in
Hi,
There is model import/export for some of the ML algorithms on the current
master (and they'll be shipped with the 1.3 release).
Burak
On Mar 7, 2015 4:17 AM, Xi Shen davidshe...@gmail.com wrote:
Wait...it seem SparkContext does not provide a way to save/load object
files. It can only
You can serialize your trained model to persist somewhere.
Ekrem Aksoy
On Sat, Mar 7, 2015 at 12:10 PM, Xi Shen davidshe...@gmail.com wrote:
Hi,
I checked a few ML algorithms in MLLib.
Hi,
I checked a few ML algorithms in MLLib.
https://spark.apache.org/docs/0.8.1/api/mllib/index.html#org.apache.spark.mllib.classification.LogisticRegressionModel
I could not find a way to save the trained model. Does this means I have to
train my model every time? Is there a more economic way
Wait...it seem SparkContext does not provide a way to save/load object
files. It can only save/load RDD. What do I missed here?
Thanks,
David
On Sat, Mar 7, 2015 at 11:05 PM Xi Shen davidshe...@gmail.com wrote:
Ah~it is serializable. Thanks!
On Sat, Mar 7, 2015 at 10:59 PM Ekrem Aksoy