Hi Peter,
thank you very much for your feedback.
As for your observations, I do realize that I'm using 1.5 chunks for
this particular case (10e6 gives around 8 chunks on other sets).
I just noticed that I didn't add the difference in the deviances that
I observed:
m1$deviance-m2$deviance
[1
Benilton Carvalho wrote:
> Hi,
>
> Until now, I thought that the results of glm() and bigglm() would
> coincide. Probably a naive assumption?
>
> Anyways, I've been using bigglm() on some datasets I have available.
> One of the sets has >15M observations.
>
> I have 3 continuous predictors (A,
Hi,
Until now, I thought that the results of glm() and bigglm() would
coincide. Probably a naive assumption?
Anyways, I've been using bigglm() on some datasets I have available.
One of the sets has >15M observations.
I have 3 continuous predictors (A, B, C) and a binary outcome (Y).
And tr
