other.cpp 2.1 KB
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#include <boost/python.hpp>
#include <boost/shared_ptr.hpp>
#include <dlib/matrix.h>
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#include <dlib/data_io.h>
#include <dlib/sparse_vector.h>
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#include <boost/python/args.hpp>
#include "pyassert.h"
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using namespace dlib;
using namespace std;
using namespace boost::python;

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typedef std::vector<std::pair<unsigned long,double> > sparse_vect;

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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
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) 
{ 
    pyassert(samples.size() == labels.size(), "Invalid inputs");
    save_libsvm_formatted_data(file_name, samples, labels); 
}
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void bind_other()
{
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    using boost::python::arg;

    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, (arg("file_name")),
"ensures    \n\
    - Attempts to read a file of the given name that should contain libsvm    \n\
      formatted data.  The data is returned as a tuple where the first tuple    \n\
      element is an array of sparse vectors and the second element is an array of    \n\
      labels.    " 
    );

    def("save_libsvm_formatted_data",_save_libsvm_formatted_data, (arg("file_name"), arg("samples"), arg("labels")),
"requires    \n\
    - len(samples) == len(labels)    \n\
ensures    \n\
    - saves the data to the given file in libsvm format   " 
    );
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}