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Added an overload of cca() that can take random_subset_selector objects.

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This commit is contained in:
Davis King 2013-03-02 11:46:30 -05:00
parent 0a9411bf34
commit d69a1c9533
2 changed files with 49 additions and 0 deletions
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17
dlib/statistics/cca.h
View File

@ -7,6 +7,7 @@
#include "../algs.h"
#include "../matrix.h"
#include "../sparse_vector.h"
#include "random_subset_selector.h"
namespace dlib
{
@ -152,6 +153,22 @@ namespace dlib
return impl_cca(L,R,Ltrans, Rtrans, num_correlations, extra_rank, q, num_output_correlations);
}
// ----------------------------------------------------------------------------------------
template <typename sparse_vector_type, typename Rand_type, typename T>
matrix<T,0,1> cca (
const random_subset_selector<sparse_vector_type,Rand_type>& L,
const random_subset_selector<sparse_vector_type,Rand_type>& R,
matrix<T>& Ltrans,
matrix<T>& Rtrans,
unsigned long num_correlations,
unsigned long extra_rank = 5,
unsigned long q = 2
)
{
return cca(L.to_std_vector(), R.to_std_vector(), Ltrans, Rtrans, num_correlations, extra_rank, q);
}
// ----------------------------------------------------------------------------------------
}

32
dlib/statistics/cca_abstract.h
View File

@ -4,6 +4,7 @@
#ifdef DLIB_CCA_AbSTRACT_H__
#include "../matrix/matrix_la_abstract.h"
#include "random_subset_selector_abstract.h"
namespace dlib
{
@ -129,6 +130,37 @@ namespace dlib
sparse_matrix_vector_multiply(trans(Ltrans), your_sparse_vector)
!*/
// ----------------------------------------------------------------------------------------
template <
typename sparse_vector_type,
typename Rand_type,
typename T
>
matrix<T,0,1> cca (
const random_subset_selector<sparse_vector_type,Rand_type>& L,
const random_subset_selector<sparse_vector_type,Rand_type>& R,
matrix<T>& Ltrans,
matrix<T>& Rtrans,
unsigned long num_correlations,
unsigned long extra_rank = 5,
unsigned long q = 2
);
/*!
requires
- num_correlations > 0
- L.size() == R.size()
- max_index_plus_one(L) > 0 && max_index_plus_one(R) > 0
(i.e. L and R can't represent empty matrices)
- L and R must contain sparse vectors (see the top of dlib/svm/sparse_vector_abstract.h
for a definition of sparse vector)
ensures
- returns cca(L.to_std_vector(), R.to_std_vector(), Ltrans, Rtrans, num_correlations, extra_rank, q)
(i.e. this is just a convenience function for calling the cca() routine when
your sparse vectors are contained inside a random_subset_selector rather than
a std::vector)
!*/
// ----------------------------------------------------------------------------------------
}