OrgLion-ML
/
dlib
mirror of https://github.com/davisking/dlib.git
1
0
Fork 0
Code Issues Releases Wiki Activity

Added missing asserts

This commit is contained in:
Davis King 2013-01-14 19:33:43 -05:00
parent f422124938
commit 38ed409ed9
1 changed files with 30 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

30
dlib/statistics/cca.h
View File

@ -20,6 +20,15 @@ namespace dlib
const matrix<T>& R const matrix<T>& R
) )
{ {
DLIB_ASSERT( L.size() > 0 && R.size() > 0 && L.nr() == R.nr(),
"\t matrix compute_correlations()"
<< "\n\t Invalid inputs were given to this function."
<< "\n\t L.size(): " << L.size()
<< "\n\t R.size(): " << R.size()
<< "\n\t L.nr(): " << L.nr()
<< "\n\t R.nr(): " << R.nr()
);
matrix<T> A, B, C; matrix<T> A, B, C;
A = diag(trans(R)*L); A = diag(trans(R)*L);
B = sqrt(diag(trans(L)*L)); B = sqrt(diag(trans(L)*L));
@ -89,6 +98,16 @@ namespace dlib
unsigned long q = 2 unsigned long q = 2
) )
{ {
DLIB_ASSERT( num_correlations > 0 && L.size() > 0 && R.size() > 0 && L.nr() == R.nr(),
"\t matrix cca()"
<< "\n\t Invalid inputs were given to this function."
<< "\n\t num_correlations: " << num_correlations
<< "\n\t L.size(): " << L.size()
<< "\n\t R.size(): " << R.size()
<< "\n\t L.nr(): " << L.nr()
<< "\n\t R.nr(): " << R.nr()
);
using std::min; using std::min;
const unsigned long n = min(num_correlations, (unsigned long)min(R.nr(),min(L.nc(), R.nc()))); const unsigned long n = min(num_correlations, (unsigned long)min(R.nr(),min(L.nc(), R.nc())));
return impl_cca(L,R,Ltrans, Rtrans, num_correlations, extra_rank, q, n); return impl_cca(L,R,Ltrans, Rtrans, num_correlations, extra_rank, q, n);
@ -107,6 +126,17 @@ namespace dlib
unsigned long q = 2 unsigned long q = 2
) )
{ {
DLIB_ASSERT( num_correlations > 0 && L.size() == R.size() &&
max_index_plus_one(L) > 0 && max_index_plus_one(R) > 0,
"\t matrix cca()"
<< "\n\t Invalid inputs were given to this function."
<< "\n\t num_correlations: " << num_correlations
<< "\n\t L.size(): " << L.size()
<< "\n\t R.size(): " << R.size()
<< "\n\t max_index_plus_one(L): " << max_index_plus_one(L)
<< "\n\t max_index_plus_one(R): " << max_index_plus_one(R)
);
using std::min; using std::min;
const unsigned long n = min(max_index_plus_one(L), max_index_plus_one(R)); const unsigned long n = min(max_index_plus_one(L), max_index_plus_one(R));
const unsigned long num_output_correlations = min(num_correlations, min(R.size(),n)); const unsigned long num_output_correlations = min(num_correlations, min(R.size(),n));