TB_example.cpp

#include <shogun/base/init.h>
#include <shogun/base/some.h>
#include <shogun/labels/BinaryLabels.h>
#include <shogun/lib/SGVector.h>
#include <shogun/lib/Signal.h>
#include <shogun/machine/Machine.h>
#include <shogun/lib/ParameterObserverScalar.h>
#include <shogun/lib/any.h>
#include <vector>

using namespace shogun;
using namespace std;

// Mock algorithm which implements a fake train_machine method
class MockAlg : public CMachine {

	public:
	MockAlg() {}
	~MockAlg() {}

protected:
	
	// emits 10000 std::pair<std::string, Any> objects
	virtual bool train_machine(CFeatures * feat) {
		for(int32_t i=0; i<10000; i++)
		{
			observe_scalar("random", erase_type(i));
		}			
	}

};

int main() {

	init_shogun_with_defaults();

	// Set up binary labels
	int * labs = new int[2];
	labs[0] = -1;
	labs[1] = 1;
  	SGVector<int32_t> labs_v {labs, 2};
	auto train_labs = some<CBinaryLabels>(labs_v);

	// Create a list of parameter we want to observe
	auto p = std::vector<std::string>();
	p.push_back(std::string("random"));

	MockAlg a;
	a.set_labels(train_labs);
	
	//Subscribe to the parameters
	a.subscribe_to_parameters(new ParameterObserverScalar(p));	

	a.train();

	exit_shogun();

	return 0;
}