    // Copyright (C) 2010  Davis E. King (davis@dlib.net)
    // License: Boost Software License   See LICENSE.txt for the full license.
    #undef DLIB_SIMPLIFY_LINEAR_DECiSION_FUNCTION_ABSTRACT_Hh_
    #ifdef DLIB_SIMPLIFY_LINEAR_DECiSION_FUNCTION_ABSTRACT_Hh_

    #include "../algs.h"
    #include "function_abstract.h"
    #include "sparse_kernel_abstract.h"
    #include "kernel_abstract.h"

    namespace dlib
    {

    // ----------------------------------------------------------------------------------------

        template <
            typename T
            >
        decision_function<sparse_linear_kernel<T> > simplify_linear_decision_function (
            const decision_function<sparse_linear_kernel<T> >& df
        );
        /*!
            requires
                - T must be a sparse vector as defined in dlib/svm/sparse_vector_abstract.h
            ensures
                - returns a simplified version of df that only has one basis vector.  That
                  is, returns a decision function D such that:
                    - D.basis_vectors.size() == 1 (or 0 if df is empty)
                    - for all possible x: D(x) == df(x)
        !*/

    // ----------------------------------------------------------------------------------------

        template <
            typename T
            >
        decision_function<linear_kernel<T> > simplify_linear_decision_function (
            const decision_function<linear_kernel<T> >& df
        );
        /*!
            requires
                - T must be a dlib::matrix object
            ensures
                - returns a simplified version of df that only has one basis vector.  That
                  is, returns a decision function D such that:
                    - D.basis_vectors.size() == 1 (or 0 if df is empty)
                    - for all possible x: D(x) == df(x)
        !*/

    // ----------------------------------------------------------------------------------------

        template <
            typename T
            >
        decision_function<linear_kernel<T> > simplify_linear_decision_function (
            const normalized_function<decision_function<linear_kernel<T> >, vector_normalizer<T> >& df
        );
        /*!
            requires
                - T must be a dlib::matrix object
            ensures
                - returns a simplified version of df that only has one basis vector and
                  doesn't involve an explicit vector_normalizer.  That is, returns a
                  decision function D such that:
                    - D.basis_vectors.size() == 1 (or 0 if df is empty)
                    - for all possible x: D(x) == df(x)
        !*/

    // ----------------------------------------------------------------------------------------

    }

    #endif // DLIB_SIMPLIFY_LINEAR_DECiSION_FUNCTION_ABSTRACT_Hh_