This page lists ready to run shogun examples for the Static Command Line interface.
To run the examples issue
shogun name_of_example.sg
% GMNPSVM print GMNPSVM set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier GMNPSVM svm_epsilon 1e-5 svm_use_bias 0 c 0.017 train_classifier set_features TEST ../data/fm_test_real.dat out.txt = classify
% GPBTSVM print GPBTSVM set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier GPBTSVM svm_epsilon 1e-5 svm_use_bias 0 c 0.017 train_classifier set_features TEST ../data/fm_test_real.dat out.txt = classify
% KNN print KNN set_distance EUCLIDIAN REAL set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier KNN train_classifier 3 set_features TEST ../data/fm_test_real.dat out.txt = classify
% LDA print LDA set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LDA train_classifier set_features TEST ../data/fm_test_real.dat out.txt = classify
% LibLinear print LibLinear set_features TRAIN ../data/fm_train_sparsereal.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBLINEAR_LR svm_epsilon 1e-5 svm_use_bias 0 c 0.42 train_classifier set_features TEST ../data/fm_test_sparsereal.dat out.txt = classify
% LibSVM print LibSVM set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM c 1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt = classify
% LibSVM MultiClass print LibSVMMultiClass set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_multiclass.dat new_classifier LIBSVM_MULTICLASS svm_epsilon 1e-5 svm_use_bias 0 c 0.017 train_classifier set_features TEST ../data/fm_test_real.dat out.txt = classify
% LibSVM OneClass print LibSVMOneClass set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM_ONECLASS svm_epsilon 1e-5 svm_use_bias 0 c 0.017 train_classifier set_features TEST ../data/fm_test_real.dat out.txt = classify
% MPDSVM print MPDSVM set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier MPDSVM svm_epsilon 1e-5 svm_use_bias 0 c 0.017 train_classifier set_features TEST ../data/fm_test_real.dat out.txt = classify
% Perceptron print Perceptron %set_features TRAIN ../data/fm_train_real.dat %set_labels TRAIN ../data/label_train_twoclass.dat %new_classifier PERCEPTRON %set_perceptron_parameters 1.6 5000 %train_classifier %set_features TEST fm_test_real %out.txt = classify
%% SubgradientSVM - often does not converge %print SubGradientSVM % %set_features TRAIN ../data/fm_train_sparsereal.dat %set_labels TRAIN ../data/label_train_twoclass.dat %new_classifier SUBGRADIENTSVM %svm_epsilon 1e-3 %svm_use_bias 0 %svm_max_train_time 10 %c 0.42 %% sometimes does not terminate %train_classifier % %set_features TEST ../data/fm_test_sparsereal.dat %out.txt = classify
% SVMLight %try print SVMLight set_kernel WEIGHTEDDEGREE CHAR 10 20 set_features TRAIN ../data/fm_train_dna.dat DNA set_labels TRAIN ../data/label_train_dna.dat new_classifier LIGHT svm_epsilon 1e-5 svm_use_bias 0 c 0.017 train_classifier set_features TEST ../data/fm_test_dna.dat DNA out.txt = classify %catch % print No support for SVMLight available. %end
% SVMLin print SVMLin set_features TRAIN ../data/fm_train_sparsereal.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier SVMLIN svm_epsilon 1e-5 svm_use_bias 0 c 0.42 train_classifier set_features TEST ../data/fm_test_sparsereal.dat out.txt = classify
% SVMOcas print SVMOcas set_features TRAIN ../data/fm_train_sparsereal.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier SVMOCAS svm_epsilon 1e-5 svm_use_bias 0 c 0.42 train_classifier set_features TEST ../data/fm_test_sparsereal.dat out.txt = classify
% SVMSGD print SVMSGD % set_features TRAIN ../data/fm_train_sparsereal.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier SVMSGD svm_epsilon 1e-5 svm_use_bias 0 c 0.42 train_classifier set_features TEST ../data/fm_test_sparsereal.dat out.txt = classify
% Hierarchical print Hierarchical set_features TRAIN ../data/fm_train_real.dat set_distance EUCLIDIAN REAL new_clustering HIERARCHICAL train_clustering 3 merge_distance.txt, pairs.txt = get_clustering
% KMEANS print KMeans set_features TRAIN ../data/fm_train_real.dat set_distance EUCLIDIAN REAL new_clustering KMEANS train_clustering 3 1000 radi.txt, centers.txt = get_clustering
% BrayCurtis Distance print BrayCurtis Distance set_distance BRAYCURTIS REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% Canberra Metric print CanberraMetric set_distance CANBERRA REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% CanberraWord Distance print CanberraWordDistance set_distance CANBERRA WORD add_preproc SORTWORDSTRING set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING WORD 3 2 0 n attach_preproc TEST dm_test.txt = get_distance_matrix TEST
% Chebyshew Metric print ChebyshewMetric set_distance CHEBYSHEW REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% ChiSquare Distance print ChiSquareDistance set_distance CHISQUARE REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% Cosine Distance print CosineDistance set_distance COSINE REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% Euclidian Distance print EuclidianDistance set_distance EUCLIDIAN REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% Geodesic Metric print GeodesicMetric set_distance GEODESIC REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% HammingWord Distance print HammingWordDistance set_distance HAMMING WORD add_preproc SORTWORDSTRING set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING WORD 3 2 0 n attach_preproc TEST dm_test.txt = get_distance_matrix TEST
% Jensen Metric print JensenMetric set_distance JENSEN REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% Manhattan Metric print ManhattanMetric set_distance MANHATTAN REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% ManhattanWord Distance print ManhattanWordDistance set_distance MANHATTAN WORD add_preproc SORTWORDSTRING set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING WORD 3 2 0 n attach_preproc TEST dm_test.txt = get_distance_matrix TEST
% Minkowski Metric print MinkowskiMetric set_distance MINKOWSKI REAL 3 set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% Tanimoto Distance print TanimotoDistance set_distance TANIMOTO REAL set_features TRAIN ../data/fm_train_real.dat dm_train.txt = get_distance_matrix TRAIN set_features TEST ../data/fm_test_real.dat dm_test.txt = get_distance_matrix TEST
% Histogram print Histogram - not yet supported %new_distribution HISTOGRAM add_preproc SORTWORDSTRING set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN %train_distribution %histo.txt = get_histogram %get_log_likelihood %get_log_likelihood_sample
% HMM print HMM new_hmm 3 6 set_features TRAIN ../data/fm_train_cube.dat CUBE convert TRAIN STRING CHAR STRING WORD 1 bw p.txt, q.txt, a.txt, b.txt = get_hmm %new_hmm 3 6 %set_hmm p.txt q.txt a.txt b.txt %likelihood.txt = hmm_likelihood
% LinearHMM print LinearHMM - not yet supported %new_distribution LinearHMM add_preproc SORTWORDSTRING set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN %train_distribution %histo.txt = get_histogram %get_log_likelihood %get_log_likelihood_sample
% CHI2 print Chi2 set_kernel CHI2 REAL 10 1.4 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% Combined print Combined clean_features TRAIN clean_features TEST set_kernel COMBINED 10 add_kernel 1 LINEAR REAL 10 add_features TRAIN ../data/fm_train_real.dat add_features TEST ../data/fm_test_real.dat add_kernel 1 GAUSSIAN REAL 10 1. add_features TRAIN ../data/fm_train_real.dat add_features TEST ../data/fm_test_real.dat add_kernel 1 POLY REAL 10 3 0 add_features TRAIN ../data/fm_train_real.dat add_features TEST ../data/fm_test_real.dat km_train.txt = get_kernel_matrix TRAIN km_test.txt = get_kernel_matrix TEST
% Comm Ulong String print CommUlongString add_preproc SORTULONGSTRING set_kernel COMMSTRING ULONG 10 0 FULL set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING ULONG 3 2 0 n attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING ULONG 3 2 0 n attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% Comm Word String print CommWordString add_preproc SORTWORDSTRING set_kernel COMMSTRING WORD 10 0 FULL set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING WORD 3 2 0 n attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% Const print Const set_kernel CONST REAL 10 23 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% Diag print Diag set_kernel DIAG REAL 10 23. set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% Distance print Distance set_distance EUCLIDIAN REAL set_kernel DISTANCE 10 1.7 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% Fixed Degree String print FixedDegreeString set_kernel FIXEDDEGREE CHAR 10 3 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% Gaussian print Gaussian set_kernel GAUSSIAN REAL 10 1.4 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% GaussianShift print GaussianShift set_kernel GAUSSIANSHIFT REAL 10 1.4 2 1 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% Linear print Linear set_kernel LINEAR REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% LinearByte is b0rked print LinearByte %set_kernel LINEAR BYTE size_cache %set_features TRAIN ../data/fm_train_byte.dat RAWBYTE %km_train.txt = get_kernel_matrix TRAIN %set_features TEST ../data/fm_test_byte.dat RAWBYTE %km_test.txt = get_kernel_matrix TEST
% Linear String print LinearString set_kernel LINEAR CHAR 10 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% LinearWord %print LinearWord %set_kernel LINEAR WORD 10 1.4 %set_features TRAIN ../data/fm_train_word.dat %km_train.txt = get_kernel_matrix TRAIN %set_features TEST ../data/fm_test_word.dat %km_test.txt = get_kernel_matrix TEST
% Local Alignment String %print LocalAlignmentString %set_kernel LOACALALIGNMENT CHAR 10 %set_features TRAIN ../data/fm_train_dna.dat DNA %km_train.txt = get_kernel_matrix TRAIN %set_features TEST ../data/fm_test_dna.dat DNA %km_test.txt = get_kernel_matrix TEST
% Locality Improved String print LocalityImprovedString set_kernel LIK CHAR 10 5 5 7 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% Oligo String print Oligo set_kernel OLIGO CHAR 10 3 1.2 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% Poly print Poly set_kernel POLY REAL 10 4 0 1 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% Poly Match String print PolyMatchString set_kernel POLYMATCH CHAR 10 3 0 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% Poly Match Word %print PolyMatchWord %set_kernel POLYMATCH WORD 10 2 1 1 %set_features TRAIN ../data/fm_train_word.dat %km_train.txt = get_kernel_matrix TRAIN %set_features TEST ../data/fm_test_word.dat %km_test.txt = get_kernel_matrix TEST
% sigmoid print Sigmoid set_kernel SIGMOID REAL 10 1.2 1.3 set_features TRAIN ../data/fm_train_real.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat km_test.txt = get_kernel_matrix TEST
% Simple Locality Improved String print SimpleLocalityImprovedString set_kernel SLIK CHAR 10 5 5 7 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% Sparse Linear print SparseLinear set_kernel LINEAR SPARSEREAL 10 1.3 set_features TRAIN ../data/fm_train_sparsereal.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_sparsereal.dat km_test.txt = get_kernel_matrix TEST
% Sparse Gaussian print SparseGaussian set_kernel GAUSSIAN SPARSEREAL 10 1.4 set_features TRAIN ../data/fm_train_sparsereal.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_sparsereal.dat km_test.txt = get_kernel_matrix TEST
% Sparse Poly print SparsePoly set_kernel POLY SPARSEREAL 10 3 1 1 set_features TRAIN ../data/fm_train_sparsereal.dat km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_sparsereal.dat km_test.txt = get_kernel_matrix TEST
% Plugin Estimate print PluginEstimate w/ HistogramWord set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING WORD 3 2 0 n new_plugin_estimator 1e-1 1e-1 set_labels TRAIN ../data/label_train_dna.dat train_estimator set_kernel HISTOGRAM WORD 10 km_train.txt = get_kernel_matrix TRAIN % not supported yet; % lab.txt = plugin_estimate_classify km_text.txt = get_kernel_matrix TEST
% Weighted Comm Word String print WeightedCommWordString add_preproc SORTWORDSTRING set_kernel WEIGHTEDCOMMSTRING WORD 10 0 FULL set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING WORD 3 2 0 n attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% Weighted Degree Position String print WeightedDegreePositionString set_kernel WEIGHTEDDEGREEPOS CHAR 10 20 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% Weighted Degree String print WeightedDegreeString set_kernel WEIGHTEDDEGREE CHAR 10 20 set_features TRAIN ../data/fm_train_dna.dat DNA km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA km_test.txt = get_kernel_matrix TEST
% GMNPSVM print MKL_MultiClass set_labels TRAIN ../data/label_train_multiclass.dat clean_features TRAIN clean_features TEST set_kernel COMBINED 10 add_kernel 1 LINEAR REAL 10 add_features TRAIN ../data/fm_train_real.dat add_features TEST ../data/fm_test_real.dat add_kernel 1 GAUSSIAN REAL 10 1.2 add_features TRAIN ../data/fm_train_real.dat add_features TEST ../data/fm_test_real.dat add_kernel 1 POLY REAL 10 2 0 add_features TRAIN ../data/fm_train_real.dat add_features TEST ../data/fm_test_real.dat new_classifier MKL_MULTICLASS mkl_parameters 0.001 1 1 svm_epsilon 1e-5 c 1.2 train_classifier out.txt = classify
% LogPlusOne print LogPlusOne add_preproc LOGPLUSONE set_kernel CHI2 REAL 10 1.4 set_features TRAIN ../data/fm_train_real.dat attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% NormOne print NormOne add_preproc NORMONE set_kernel CHI2 REAL 10 1.4 set_features TRAIN ../data/fm_train_real.dat attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% PruneVarSubMean print PruneVarSubMean add_preproc PRUNEVARSUBMEAN 1 set_kernel CHI2 REAL 10 1.4 set_features TRAIN ../data/fm_train_real.dat attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_real.dat attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% SortUlongString print CommUlongString add_preproc SORTULONGSTRING set_kernel COMMSTRING ULONG 10 0 FULL set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING ULONG 3 2 0 n attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING ULONG 3 2 0 n attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% SortWordString print CommWordString add_preproc SORTWORDSTRING set_kernel COMMSTRING WORD 10 0 FULL set_features TRAIN ../data/fm_train_dna.dat DNA convert TRAIN STRING CHAR STRING WORD 3 2 0 n attach_preproc TRAIN km_train.txt = get_kernel_matrix TRAIN set_features TEST ../data/fm_test_dna.dat DNA convert TEST STRING CHAR STRING WORD 3 2 0 n attach_preproc TEST km_test.txt = get_kernel_matrix TEST
% kernel ridge regression print KRR set_kernel GAUSSIAN REAL 10 2.1 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_regression KRR krr_tau 1.2 c 0.017 train_regression set_features TEST ../data/fm_test_real.dat out.txt = classify
% LibSVR print LibSVR set_kernel GAUSSIAN REAL 10 2.1 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_regression LIBSVR svr_tube_epsilon 1e-2 c 0.017 train_regression set_features TEST ../data/fm_test_real.dat out.txt = classify
% SVR Light %try print SVRLight set_kernel GAUSSIAN REAL 10 2.1 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_regression SVRLIGHT svr_tube_epsilon 1e-2 c 0.017 train_regression set_features TEST ../data/fm_test_real.dat out.txt = classify %catch % disp('No support for SVRLight available.') %end