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Diffstat (limited to 'ml/dlib/dlib/svm/simplify_linear_decision_function_abstract.h')
| -rw-r--r-- | ml/dlib/dlib/svm/simplify_linear_decision_function_abstract.h | 74 |
1 files changed, 74 insertions, 0 deletions
diff --git a/ml/dlib/dlib/svm/simplify_linear_decision_function_abstract.h b/ml/dlib/dlib/svm/simplify_linear_decision_function_abstract.h new file mode 100644 index 000000000..cff8ae11f --- /dev/null +++ b/ml/dlib/dlib/svm/simplify_linear_decision_function_abstract.h @@ -0,0 +1,74 @@ +// 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_ + |