GeistHaus
log in · sign up

LIBSVM Tools

csie.ntu.edu.tw
2 pages link to this URL
memory efficient bindigs for libsvm

scikits.learn.svm now uses LibSVM-dense instead of LibSVM for some support vector machine related algorithms when input is a dense matrix. As a result most of the copies associated with argument passing are avoided, giving 50% less memory footprint and several times less than the python bindings that ship …

0 inbound links article en Generalscikit-learn
Weighted samples for SVMs

Based on the work of libsvm-dense by Ming-Wei Chang, Hsuan-Tien Lin, Ming-Hen Tsai, Chia-Hua Ho and Hsiang-Fu Yu I patched the libsvm distribution shipped with scikits.learn to allow setting weights for individual instances. The motivation behind this is to be able force a classifier to focus its attention in …

0 inbound links article en sklearnpython