Added brief intro to NewtonSVM and added octave_modular example

shogun-toolbox · Apr 5, 2012 · 9241292 · 9241292
1 parent 874ebc5
commit 9241292
Show file tree

Hide file tree

Showing 2 changed files with 40 additions and 2 deletions.
diff --git a/examples/undocumented/octave_modular/classifier_newtonsvm_modular.m b/examples/undocumented/octave_modular/classifier_newtonsvm_modular.m
@@ -0,0 +1,34 @@
+init_shogun
+
+addpath('tools');
+label=load_matrix('../data/label_train_dna.dat');
+data=load_matrix('../data/fm_train_dna.dat');
+fm_test_real=load_matrix('../data/fm_test_dna.dat');
+
+% Newton SVM
+
+disp('NewtonSVM')
+data=double(data);
+%fm_test_real=double(fm_test_real);
+realfeat=RealFeatures(data);
+feats_train=SparseRealFeatures();
+feats_train.obtain_from_simple(realfeat);
+%realfeat=RealFeatures(fm_test_real);
+%feats_test=SparseRealFeatures();
+%feats_test.obtain_from_simple(realfeat);
+
+C=1.0;
+epsilon=1e-5;
+num_threads=1;
+label=double(label);
+labels=Labels(label);
+
+svm=NewtonSVM(C, feats_train, labels);
+svm.set_epsilon(epsilon);
+svm.parallel.set_num_threads(num_threads);
+svm.set_bias_enabled(true);
+svm.train();
+%svm.set_features(feats_test);
+svm.get_bias();
+svm.get_w();
+%svm.apply().get_labels();
diff --git a/src/shogun/classifier/svm/NewtonSVM.h b/src/shogun/classifier/svm/NewtonSVM.h
@@ -19,7 +19,11 @@
 namespace shogun
 {
 #ifdef HAVE_LAPACK
-/** @brief class NewtonSVM */
+/** @brief NewtonSVM, 
+ *  In this Implementation linear SVM is trained in its primal form using Newton-like iterations.
+ *  This Implementation is ported from the Olivier Chapelles fast newton based SVM solver, Which could be found here :http://mloss.org/software/view/30/
+ *  For further information on this implementation of SVM refer to this paper: http://www.kyb.mpg.de/publications/attachments/neco_%5B0%5D.pdf
+*/
 class CNewtonSVM : public CLinearMachine
 {
 	public:
@@ -38,7 +42,7 @@ class CNewtonSVM : public CLinearMachine
 
 		/** get classifier type
 		 *
-		 * @return classifier type NewtonSVM
+il		 * @return classifier type NewtonSVM
 		 */
 		virtual inline EClassifierType get_classifier_type() { return CT_NEWTONSVM; }