學生還是試不出來，

特別是，如果照範例打

svmStruct = svmtrain(data(train,:),groups(train),'showplot',true);

就會出現

Usage: model = svmtrain(training_label_vector, training_instance_matrix, 'libsvm_options');

libsvm_options:

-s svm_type : set type of SVM (default 0)

0 -- C-SVC

1 -- nu-SVC

2 -- one-class SVM

3 -- epsilon-SVR

4 -- nu-SVR

-t kernel_type : set type of kernel function (default 2)

0 -- linear: u'*v

1 -- polynomial: (gamma*u'*v + coef0)^degree

2 -- radial basis function: exp(-gamma*|u-v|^2)

3 -- sigmoid: tanh(gamma*u'*v + coef0)

4 -- precomputed kernel (kernel values in training_instance_matrix)

-d degree : set degree in kernel function (default 3)

-g gamma : set gamma in kernel function (default 1/k)

-r coef0 : set coef0 in kernel function (default 0)

-c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1)

-n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5)

-p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1)

-m cachesize : set cache memory size in MB (default 100)

-e epsilon : set tolerance of termination criterion (default 0.001)

-h shrinking : whether to use the shrinking heuristics, 0 or 1 (default 1)

-b probability_estimates : whether to train a SVC or SVR model for probability estimates, 0 or 1 (default 0)

-wi weight : set the parameter C of class i to weight*C, for C-SVC (default 1)

-v n : n-fold cross validation mode

-q : quiet mode (no outputs)

這樣的一串文字，那學生便在照它文字的提試，把meas 分成test 及 train，

那就只會產生一個model 在 workspace裡…並沒有產生圖形。

請問學生哪裡做錯了嗎？謝謝

[本帖最后由 f814030 于 2009-9-19 08:43 编辑]