Changing iteration numbers

[mahmoodn]

Hi, How can I change the number of global iterations? I don't see any related option here

options:
-s svm_type: set type of SVM (default 0)
    0 -- C-SVC      (multi-class classification)
    1 -- nu-SVC     (multi-class classification)
    2 -- one-class SVM
    3 -- epsilon-SVR    (regression)
    4 -- nu-SVR     (regression)
-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)
-d degree: set degree in kernel function (default 3)
-g gamma: set gamma in kernel function (default 1/num_features)
-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 memory size: constrain the maximum memory size (MB) that thundersvm uses (default 8192)
-e epsilon: set tolerance of termination criterion (default 0.001)
-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
-u n: specify which gpu to use (default 0)
-o n: set the number of cpu cores to use, -1 for maximum(default -1)
-q: quiet mode

Also, is there any recommended options for data sets? For example, in breast-cancer, I get diff=nan for -c 100 -g 0.5

2019-07-30 18:41:20,852 INFO [default] global iter = 1200, total local iter = 119702395, diff = -nan

Thanks for any comment.

[zeyiwen]

There is no option for specifying the number of global iterations. The training stops either not being able to further improve the objective or reaching the maximum number of iterations.