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
> wrote:
labels
-- The Open University is incorporated by Royal Charter (RC 000391), an exempt
;user@spark.apache.org" <user@spark.apache.org>
Date : 2016-11-08 11:02
Objet : Re: LinearRegressionWithSGD and Rank Features By Importance
Hi Masood,
Thank you again for your suggestion.
I have got a question about the following:
For prediction on new samples, you need t
gt;>,
"user@spark.apache.org<mailto:user@spark.apache.org>"
<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 v
<carlo.allo...@open.ac.uk<mailto:carlo.allo...@open.ac.uk>>, Mohit Jaggi
<mohitja...@gmail.com<mailto:mohitja...@gmail.com>>,
"user@spark.apache.org<mailto:user@spark.apache.org>"
<user@spark.apache.org<mailto:user@spark.apache.org>
"
<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 good point as I am
; Cc :Carlo.Allocca <carlo.allo...@open.ac.uk
>> <mailto:carlo.allo...@open.ac.uk>>, "user@spark.apache.org
>> <mailto:user@spark.apache.org>" <user@spark.apache.org
>> <mailto:user@spark.apache.org>>
>> Date :2016-11
t;mohitja...@gmail.com>
Cc :Carlo.Allocca <carlo.allo...@open.ac.uk>, "user@spark.apache.org"
<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
Hi Robin,
On 4 Nov 2016, at 09:19, Robin East
> 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
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
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.
>
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