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#include <boost/python.hpp>
#include <boost/shared_ptr.hpp>
#include <dlib/matrix.h>
#include <dlib/data_io.h>
#include <dlib/sparse_vector.h>
using namespace dlib;
using namespace std;
using namespace boost::python;
typedef std::vector<std::pair<unsigned long,double> > sparse_vect;
tuple get_training_data()
{
typedef matrix<double,0,1> sample_type;
std::vector<sample_type> samples;
std::vector<double> labels;
sample_type samp(3);
for (int i = 0; i < 10; ++i)
{
samp = 1,2,3;
samples.push_back(samp);
labels.push_back(+1);
samp = -1,-2,-3;
samples.push_back(samp);
labels.push_back(-1);
}
return make_tuple(samples, labels);
}
void _make_sparse_vector (
sparse_vect& v
)
{
make_sparse_vector_inplace(v);
}
void _make_sparse_vector2 (
std::vector<sparse_vect>& v
)
{
for (unsigned long i = 0; i < v.size(); ++i)
make_sparse_vector_inplace(v[i]);
}
tuple _load_libsvm_formatted_data (
const std::string& file_name
)
{
std::vector<sparse_vect> samples;
std::vector<double> labels;
load_libsvm_formatted_data(file_name, samples, labels);
return make_tuple(samples, labels);
}
void _save_libsvm_formatted_data (
const std::string& file_name,
const std::vector<sparse_vect>& samples,
const std::vector<double>& labels
) { save_libsvm_formatted_data(file_name, samples, labels); }
void bind_other()
{
def("get_training_data",get_training_data);
def("make_sparse_vector", _make_sparse_vector , "This function modifies its argument so that it is a properly sorted sparse vector.");
def("make_sparse_vector", _make_sparse_vector2 , "This function modifies a sparse_vectors object so that all elements it contains are properly sorted sparse vectors.");
def("load_libsvm_formatted_data",_load_libsvm_formatted_data);
def("save_libsvm_formatted_data",_save_libsvm_formatted_data);
}