On 11-10-25 01:35 PM, julien giami wrote:
> The reason i use glmnet is that it makes the handling of 400,000
> observations easier to handle in terms of memory,
>
> I am looking on sparse matrices but i dont understand how to build
> interacting using sparse matrices
>
If you're not familiar w
The reason i use glmnet is that it makes the handling of 400,000
observations easier to handle in terms of memory,
I am looking on sparse matrices but i dont understand how to build
interacting using sparse matrices
On Tue, Oct 25, 2011 at 12:34 PM, Marc Schwartz wrote:
>
> On Oct 25, 2011, at
On Oct 25, 2011, at 11:16 AM, Ben Bolker wrote:
> Bert Gunter gene.com> writes:
>
>>
>> If I understand you correctly, it sounds like you need to do some reading.
>>
>> ?lm and ?formula tell you how to specify linear models for glm or glmnet.
>> However, if you do not have sufficient statisti
Bert Gunter gene.com> writes:
>
> If I understand you correctly, it sounds like you need to do some reading.
>
> ?lm and ?formula tell you how to specify linear models for glm or glmnet.
> However, if you do not have sufficient statistical background, It probably
> will be incomprehensible, in
If I understand you correctly, it sounds like you need to do some reading.
?lm and ?formula tell you how to specify linear models for glm or glmnet.
However, if you do not have sufficient statistical background, It probably
will be incomprehensible, in which case you should consult your local
stat
We are workin on building a logistic regression using
1. We are doing a logistic regression with binary outcome variable
using a set of predictors that include 8 continuous and 8 category
predictors
2. We are trying to implement interaction between two variables
(continuous and category or just c
6 matches
Mail list logo
