Hi!
I was very interested in using these Friedman's algorithms, and was very glad of finding this wrappers and Python is my preferred language.
I found that there are new versions of the original fortran (and R) code in:
http://cran.r-project.org/src/contrib/glmnet_1.9-3.tar.gz
It would be interesting in having the wrapper updated also.
Apart from this, I noticed that not all functions are exposed through Python. For example, the logistic regression ones (those are the ones I'm particularly interested in). I was now looking into how this works, but have not experience with R nor Fortran. Do you think you could help me updating the code and adding the missing functions?
Hi!
I was very interested in using these Friedman's algorithms, and was very glad of finding this wrappers and Python is my preferred language.
I found that there are new versions of the original fortran (and R) code in:
http://cran.r-project.org/src/contrib/glmnet_1.9-3.tar.gz
It would be interesting in having the wrapper updated also.
Apart from this, I noticed that not all functions are exposed through Python. For example, the logistic regression ones (those are the ones I'm particularly interested in). I was now looking into how this works, but have not experience with R nor Fortran. Do you think you could help me updating the code and adding the missing functions?