Re: liblinear in pspp?

[John Darrington]

If the liblinear developers (or anyone) is interested in writing such an 
interface, I would gladly help them.  I suspect it would have to be done
as a completely separate exercise to the GLM command.

Have you some ideas how such an interface should work?  To what kind of users
do you think this would be of interest?  What level of expertise would they
need?

J'

On Mon, Apr 22, 2013 at 06:01:52PM +0000, Jack Tanner wrote:
     From the archives, it seems like there's some ongoing work to implement 
GLMs
     in PSPP. From the peanut gallery (hi!), it'd be nice if PSPP could 
interface
     with liblinear. It implements some GLM-like algorithms, see
     
     http://www.csie.ntu.edu.tw/~cjlin/liblinear/
     
     LIBLINEAR is a linear classifier for data with millions of instances and
     features. It supports
     
         L2-regularized classifiers
         L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
         L1-regularized classifiers (after version 1.4)
         L2-loss linear SVM and logistic regression (LR)
         L2-regularized support vector regression (after version 1.9)
         L2-loss linear SVR and L1-loss linear SVR.
     
     Main features of LIBLINEAR include
     
         Same data format as LIBSVM, our general-purpose SVM solver, and also
     similar usage
         Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
         Cross validation for model selection
         Probability estimates (logistic regression only)
         Weights for unbalanced data
         MATLAB/Octave, Java, Python, Ruby interfaces
     
     
     
     _______________________________________________
     pspp-dev mailing list
     address@hidden
     https://lists.gnu.org/mailman/listinfo/pspp-dev

-- 
PGP Public key ID: 1024D/2DE827B3 
fingerprint = 8797 A26D 0854 2EAB 0285  A290 8A67 719C 2DE8 27B3
See http://keys.gnupg.net or any PGP keyserver for public key.

signature.asc
Description: Digital signature