Hi Masood,
Thanks for the answer.
Sure. I will do as suggested.
Many Thanks,
Best Regards,
Carlo
On 8 Nov 2016, at 17:19, Masood Krohy
mailto:masood.kr...@intact.net>> wrote:
labels
-- The Open University is incorporated by Royal Charter (RC 000391), an exempt
charity in England & Wales and a
d Krohy, Ph.D.
Data Scientist, Intact Lab-R&D
Intact Financial Corporation
http://ca.linkedin.com/in/masoodkh
De :Carlo.Allocca
A : Masood Krohy
Cc :Carlo.Allocca , Mohit Jaggi
, "user@spark.apache.org"
Date : 2016-11-08 11:02
Objet : Re: LinearRegressionWithSGD and
Carlo.Allocca
mailto:carlo.allo...@open.ac.uk>>, Mohit Jaggi
mailto:mohitja...@gmail.com>>,
"user@spark.apache.org<mailto:user@spark.apache.org>"
mailto:user@spark.apache.org>>
Date : 2016-11-07 10:50
Objet :Re: LinearRegressionWithSGD and Rank Fe
user@spark.apache.org<mailto:user@spark.apache.org>"
mailto:user@spark.apache.org>>
Date : 2016-11-07 10:50
Objet :Re: LinearRegressionWithSGD and Rank Features By Importance
Hi Masood,
thank you very much for the reply. It is very a
o.Allocca
mailto:carlo.allo...@open.ac.uk>>, Mohit Jaggi
mailto:mohitja...@gmail.com>>,
"user@spark.apache.org<mailto:user@spark.apache.org>"
mailto:user@spark.apache.org>>
Date : 2016-11-07 10:50
Objet :Re: LinearRegressionWithSGD and Rank Features B
odkh>
>>
>>
>>
>> De :Carlo.Allocca > <mailto:carlo.allo...@open.ac.uk>>
>> A :Mohit Jaggi mailto:mohitja...@gmail.com>>
>> Cc : Carlo.Allocca > <mailto:carlo.allo...@open.ac.uk>>, "user@spark.apache.org
>>
a , "user@spark.apache.org"
Date : 2016-11-04 03:39
Objet : Re: LinearRegressionWithSGD and Rank Features By Importance
Hi Mohit,
Thank you for your reply.
OK. it means coefficient with high score are more important that other
with low score…
Many Thanks,
Best Regards,
Carlo
> On 3 Nov
Hi Robin,
On 4 Nov 2016, at 09:19, Robin East
mailto:robin.e...@xense.co.uk>> wrote:
Hi
Do you mean the test of significance that you usually get with R output?
Yes, exactly.
I don’t think there is anything implemented in the standard MLLib libraries
however I believe that the sparkR version
Hi
Do you mean the test of significance that you usually get with R output? I
don’t think there is anything implemented in the standard MLLib libraries
however I believe that the sparkR version provides that. See
http://spark.apache.org/docs/1.6.2/sparkr.html#gaussian-glm-model
--
Hi Mohit,
Thank you for your reply.
OK. it means coefficient with high score are more important that other with low
score…
Many Thanks,
Best Regards,
Carlo
> On 3 Nov 2016, at 20:41, Mohit Jaggi wrote:
>
> For linear regression, it should be fairly easy. Just sort the co-efficients
> :)
>
For linear regression, it should be fairly easy. Just sort the co-efficients :)
Mohit Jaggi
Founder,
Data Orchard LLC
www.dataorchardllc.com
> On Nov 3, 2016, at 3:35 AM, Carlo.Allocca wrote:
>
> Hi All,
>
> I am using SPARK and in particular the MLib library.
>
> import org.apache.spark.m
Hi All,
I am using SPARK and in particular the MLib library.
import org.apache.spark.mllib.regression.LabeledPoint;
import org.apache.spark.mllib.regression.LinearRegressionModel;
import org.apache.spark.mllib.regression.LinearRegressionWithSGD;
For my problem I am using the LinearRegressionWith
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