gistfile1.txt

# Tag public

template <typename T>
class Tag 
{
public:
    // registers tag in object
    Tag(SGObject* object, const char* name);
};

# public

class SVM : public SGObject
{
public:
    void train();

    Tag<int> max_iterations;
};


# private

SVM::SVM() : max_iterations(this, "max_iterations")
{
}

void SVM::train() 
{
    for (auto i : xrange(get(max_iterations))) 
    {
          ... do shit
    }
}

# python code

svm = SVM()
svm.set(svm.max_iterations, 100)
assert svm.get(svm.max_iterations) is 100

# java code

SVM svm = new SVM();
svm.set(svm.max_iterations, 100);
int max_iterations = svm.get(svm.max_iterations);

# java with plugins 

Machine svm = shogun.load_machine("libsvm");
IntTag max_iterations = shogun.int_tag("max_iterations");
svm.set(max_iterations, 100);
int actual_max_iterations = svm.get(max_iterations);

// i don't care about type
Parameter max_iterations_generic = svm.get("max_iterations");
System.out.println("Using max iterations: " + max_iterations_generic + "\n");

# model selection

svm.select()
   .parameter(max_iterations, shogun.range(1, 200, 50))
   .parameter(threshold, shogun.exponential_range(0.1, 0.2, 0.5))
   .over(shogun.StratifiedSplit(data))
   .with(shogun.ROCEvaluation());