Public Member Functions | |
CPCACut (int32_t do_whitening=0, float64_t thresh=1e-6) | |
virtual | ~CPCACut () |
virtual bool | init (CFeatures *f) |
initialize preprocessor from features | |
virtual bool | load_init_data (FILE *src) |
initialize preprocessor from file | |
virtual bool | save_init_data (FILE *dst) |
save init-data (like transforamtion matrices etc) to file | |
virtual void | cleanup () |
cleanup | |
virtual float64_t * | apply_to_feature_matrix (CFeatures *f) |
virtual float64_t * | apply_to_feature_vector (float64_t *f, int32_t &len) |
Protected Attributes | |
double * | T |
int32_t | num_dim |
int32_t | num_old_dim |
float64_t * | mean |
bool | initialized |
true when already initialized | |
int32_t | do_whitening |
float64_t | thresh |
This is only useful if the dimensionality of the data is rather low, as the covariance matrix is of size num_feat*num_feat. Note that vectors don't have to have zero mean as it is substracted.
Definition at line 36 of file PCACut.h.
CPCACut::CPCACut | ( | int32_t | do_whitening = 0 , |
|
float64_t | thresh = 1e-6 | |||
) |
constructor
do_whitening | do whitening | |
thresh | threshold |
Definition at line 28 of file PCACut.cpp.
CPCACut::~CPCACut | ( | ) | [virtual] |
Definition at line 34 of file PCACut.cpp.
apply preproc on feature matrix result in feature matrix return pointer to feature_matrix, i.e. f->get_feature_matrix();
apply preproc on feature matrix result in feature matrix return pointer to feature_matrix, i.e. f->get_feature_matrix();
Implements CSimplePreProc< float64_t >.
Definition at line 184 of file PCACut.cpp.
apply preproc on single feature vector result in feature matrix
apply preproc on single feature vector result in feature matrix
Implements CSimplePreProc< float64_t >.
Definition at line 226 of file PCACut.cpp.
void CPCACut::cleanup | ( | ) | [virtual] |
cleanup
initialize preprocessor from features
Implements CPreProc.
Definition at line 175 of file PCACut.cpp.
bool CPCACut::init | ( | CFeatures * | f | ) | [virtual] |
initialize preprocessor from features
compute mean
A = 1.0*xy^T+A blas
Implements CPreProc.
Definition at line 41 of file PCACut.cpp.
bool CPCACut::load_init_data | ( | FILE * | src | ) | [virtual] |
bool CPCACut::save_init_data | ( | FILE * | dst | ) | [virtual] |
save init-data (like transforamtion matrices etc) to file
Implements CPreProc.
Definition at line 259 of file PCACut.cpp.
int32_t CPCACut::do_whitening [protected] |
bool CPCACut::initialized [protected] |
float64_t* CPCACut::mean [protected] |
int32_t CPCACut::num_dim [protected] |
int32_t CPCACut::num_old_dim [protected] |
double* CPCACut::T [protected] |
float64_t CPCACut::thresh [protected] |