BM Almaden Research Center
> E-mail: npansar At us.ibm.com
> http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar
>
> [image: Inactive hide details for Sourav Mazumder ---12/10/2015 08:00:51
> AM---Hi Niketan, Thanks for the exaplana
on.ibm.com/researcher/view.php?person=us-npansar
From: Sourav Mazumder
To: [email protected]
Date: 12/10/2015 08:00 AM
Subject:Re: Using GLM-predict
Hi Niketan,
Thanks for the exaplanation.
While trying out the new build from github I'm facing issue.
I downloa
p?person=us-npansar
>
> [image: Inactive hide details for Sourav Mazumder ---12/09/2015 06:20:24
> PM---Hi Niketan, Thanks again for such a detailed explanation.]Sourav
> Mazumder ---12/09/2015 06:20:24 PM---Hi Niketan, Thanks again for such a
> detailed explanation. I see your last poi
pecify this ordering.
Thanks,
Niketan Pansare
IBM Almaden Research Center
E-mail: npansar At us.ibm.com
http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar
From: Sourav Mazumder
To: [email protected]
Date: 12/09/2015 06:20 PM
Subject:Re: Using GLM-predict
H
> This also shows the usefulness of "Declarative Machine Learning" :)
>
> Thanks,
>
> Niketan Pansare
> IBM Almaden Research Center
> E-mail: npansar At us.ibm.com
> http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar
>
> [image: Inactiv
hanks,
Niketan Pansare
IBM Almaden Research Center
E-mail: npansar At us.ibm.com
http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar
From: Sourav Mazumder
To: [email protected]
Date: 12/09/2015 01:15 PM
Subject:Re: Using GLM-predict
Hi Niketan,
use of]Sourav
> Mazumder ---12/09/2015 11:15:19 AM---Hi Niketan, The code you provided
> works fine. The use of getMatrixCharacteristics
>
> From: Sourav Mazumder
> To: [email protected]
> Date: 12/09/2015 11:15 AM
> Subject: Re: Using GLM-predict
> -
bm.com
http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar
From: Sourav Mazumder
To: [email protected]
Date: 12/09/2015 11:15 AM
Subject:Re: Using GLM-predict
Hi Niketan,
The code you provided works fine. The use of getMatrixCharacteristics
solves
s,
>
> Niketan Pansare
> IBM Almaden Research Center
> E-mail: npansar At us.ibm.com
> http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar
>
> [image: Inactive hide details for Sourav Mazumder ---12/08/2015 10:53:40
> PM---Hi Niketan, Thanks again for the de
h key for the feature vector and the predicted value remain
same ? If not how to achieve the same ?
In above example 'pred' is a DataFrame with column 'ID' which provides the
row ID.
Thanks,
Niketan Pansare
IBM Almaden Research Center
E-mail: npansar At us.ibm.com
http://resea
[image: Inactive hide details for Shirish Tatikonda ---12/08/2015 12:49:47
> PM---Hi Sourav, Yes, GLM-predict.dml gives out only the prob]Shirish
> Tatikonda ---12/08/2015 12:49:47 PM---Hi Sourav, Yes, GLM-predict.dml gives
> out only the probabilities. You can put a
>
> From: Shirish Tati
aden Research Center
E-mail: npansar At us.ibm.com
http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar
From: Shirish Tatikonda
To: [email protected]
Date: 12/08/2015 12:49 PM
Subject: Re: Using GLM-predict
Hi Sourav,
Yes, GLM-predict.dml gives out
Hi Shirish,
Thanks for your clarification.
Not sure how exactly I can modify the GLM-predict.dml to get some
prediction to start with. Ideally I would like the probability threshold to
be parameterized.
If I check the script at line 135-136 I can see the code which returns
means and vars -
[mean
Hi Sourav,
Yes, GLM-predict.dml gives out only the probabilities. You can put a
threshold on the resulting probabilities to get the actual class labels --
for example, prob > 0.5 is positive and <=0.5 as negative.
The exact value of threshold typically depends on the data and the
application. Dif
Hi,
I have used GLM.dml to create a model using some sample data. It returns to
me the matrix of Beta, B.
Now I want to use this matrix of Beta on a new set of data points and
generate predicted value of the dependent variable/observation.
When I checked GLM-predict, I could see that one can pas
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