coco
75 lines
2.6 KiB
C++
75 lines
2.6 KiB
C++
// Copyright (C) 2010 Davis E. King (davis@dlib.net)
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// License: Boost Software License See LICENSE.txt for the full license.
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#undef DLIB_SIMPLIFY_LINEAR_DECiSION_FUNCTION_ABSTRACT_Hh_
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#ifdef DLIB_SIMPLIFY_LINEAR_DECiSION_FUNCTION_ABSTRACT_Hh_
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#include "../algs.h"
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#include "function_abstract.h"
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#include "sparse_kernel_abstract.h"
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#include "kernel_abstract.h"
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namespace dlib
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{
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// ----------------------------------------------------------------------------------------
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template <
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typename T
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>
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decision_function<sparse_linear_kernel<T> > simplify_linear_decision_function (
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const decision_function<sparse_linear_kernel<T> >& df
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);
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/*!
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requires
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- T must be a sparse vector as defined in dlib/svm/sparse_vector_abstract.h
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ensures
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- returns a simplified version of df that only has one basis vector. That
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is, returns a decision function D such that:
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- D.basis_vectors.size() == 1 (or 0 if df is empty)
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- for all possible x: D(x) == df(x)
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!*/
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// ----------------------------------------------------------------------------------------
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template <
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typename T
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>
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decision_function<linear_kernel<T> > simplify_linear_decision_function (
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const decision_function<linear_kernel<T> >& df
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);
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/*!
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requires
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- T must be a dlib::matrix object
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ensures
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- returns a simplified version of df that only has one basis vector. That
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is, returns a decision function D such that:
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- D.basis_vectors.size() == 1 (or 0 if df is empty)
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- for all possible x: D(x) == df(x)
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!*/
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// ----------------------------------------------------------------------------------------
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template <
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typename T
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>
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decision_function<linear_kernel<T> > simplify_linear_decision_function (
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const normalized_function<decision_function<linear_kernel<T> >, vector_normalizer<T> >& df
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);
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/*!
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requires
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- T must be a dlib::matrix object
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ensures
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- returns a simplified version of df that only has one basis vector and
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doesn't involve an explicit vector_normalizer. That is, returns a
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decision function D such that:
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- D.basis_vectors.size() == 1 (or 0 if df is empty)
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- for all possible x: D(x) == df(x)
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!*/
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// ----------------------------------------------------------------------------------------
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}
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#endif // DLIB_SIMPLIFY_LINEAR_DECiSION_FUNCTION_ABSTRACT_Hh_
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