SHOGUN
4.1.0
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Preprocessor KernelPCA performs kernel principal component analysis.
Schoelkopf, B., Smola, A. J., & Mueller, K. R. (1999). Kernel Principal Component Analysis. Advances in kernel methods support vector learning, 1327(3), 327-352. MIT Press. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.8744
Definition at line 35 of file KernelPCA.h.
Public Member Functions | |
CKernelPCA () | |
CKernelPCA (CKernel *k) | |
virtual | ~CKernelPCA () |
virtual bool | init (CFeatures *features) |
initialize preprocessor from features More... | |
virtual void | cleanup () |
cleanup More... | |
virtual SGMatrix< float64_t > | apply_to_feature_matrix (CFeatures *features) |
virtual SGVector< float64_t > | apply_to_feature_vector (SGVector< float64_t > vector) |
virtual CDenseFeatures < float64_t > * | apply_to_string_features (CFeatures *features) |
SGMatrix< float64_t > | get_transformation_matrix () const |
SGVector< float64_t > | get_bias_vector () const |
virtual const char * | get_name () const |
virtual EPreprocessorType | get_type () const |
void | set_target_dim (int32_t dim) |
int32_t | get_target_dim () const |
void | set_distance (CDistance *distance) |
CDistance * | get_distance () const |
void | set_kernel (CKernel *kernel) |
CKernel * | get_kernel () const |
virtual CFeatures * | apply (CFeatures *features) |
virtual EFeatureClass | get_feature_class () |
return that we are dense features (just fixed size matrices) More... | |
virtual EFeatureType | get_feature_type () |
return feature type More... | |
virtual CSGObject * | shallow_copy () const |
virtual CSGObject * | deep_copy () const |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
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void | set_generic () |
void | unset_generic () |
virtual void | print_serializable (const char *prefix="") |
virtual bool | save_serializable (CSerializableFile *file, const char *prefix="") |
virtual bool | load_serializable (CSerializableFile *file, const char *prefix="") |
void | set_global_io (SGIO *io) |
SGIO * | get_global_io () |
void | set_global_parallel (Parallel *parallel) |
Parallel * | get_global_parallel () |
void | set_global_version (Version *version) |
Version * | get_global_version () |
SGStringList< char > | get_modelsel_names () |
void | print_modsel_params () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
void | build_gradient_parameter_dictionary (CMap< TParameter *, CSGObject * > *dict) |
virtual void | update_parameter_hash () |
virtual bool | parameter_hash_changed () |
virtual bool | equals (CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) |
virtual CSGObject * | clone () |
Public Attributes | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_gradient_parameters |
uint32_t | m_hash |
Protected Member Functions | |
void | init () |
virtual void | load_serializable_pre () throw (ShogunException) |
virtual void | load_serializable_post () throw (ShogunException) |
virtual void | save_serializable_pre () throw (ShogunException) |
virtual void | save_serializable_post () throw (ShogunException) |
Protected Attributes | |
CFeatures * | m_init_features |
SGMatrix< float64_t > | m_transformation_matrix |
SGVector< float64_t > | m_bias_vector |
bool | m_initialized |
int32_t | m_target_dim |
CDistance * | m_distance |
CKernel * | m_kernel |
CEmbeddingConverter * | m_converter |
CKernelPCA | ( | ) |
default constructor
Definition at line 28 of file KernelPCA.cpp.
CKernelPCA | ( | CKernel * | k | ) |
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virtual |
Definition at line 63 of file KernelPCA.cpp.
generic interface for applying the preprocessor. used as a wrapper for apply_to_feature_matrix() method
features | the dense input features |
Implements CPreprocessor.
apply preproc on feature matrix result in feature matrix return pointer to feature_matrix, i.e. f->get_feature_matrix();
Reimplemented from CDimensionReductionPreprocessor.
Definition at line 129 of file KernelPCA.cpp.
apply preproc on single feature vector result in feature matrix
Reimplemented from CDimensionReductionPreprocessor.
Definition at line 161 of file KernelPCA.cpp.
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Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.
dict | dictionary of parameters to be built. |
Definition at line 597 of file SGObject.cpp.
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cleanup
Reimplemented from CDimensionReductionPreprocessor.
Definition at line 52 of file KernelPCA.cpp.
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virtualinherited |
Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.
Definition at line 714 of file SGObject.cpp.
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virtualinherited |
A deep copy. All the instance variables will also be copied.
Definition at line 198 of file SGObject.cpp.
Recursively compares the current SGObject to another one. Compares all registered numerical parameters, recursion upon complex (SGObject) parameters. Does not compare pointers!
May be overwritten but please do with care! Should not be necessary in most cases.
other | object to compare with |
accuracy | accuracy to use for comparison (optional) |
tolerant | allows linient check on float equality (within accuracy) |
Definition at line 618 of file SGObject.cpp.
get bias of KPCA
Definition at line 79 of file KernelPCA.h.
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getter for distance
Definition at line 88 of file DimensionReductionPreprocessor.cpp.
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return that we are dense features (just fixed size matrices)
Implements CPreprocessor.
Reimplemented in CRandomFourierGaussPreproc.
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Definition at line 498 of file SGObject.cpp.
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Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
Definition at line 522 of file SGObject.cpp.
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Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
Definition at line 535 of file SGObject.cpp.
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Reimplemented from CDimensionReductionPreprocessor.
Definition at line 85 of file KernelPCA.h.
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getter for target dimension
Definition at line 76 of file DimensionReductionPreprocessor.cpp.
get transformation matrix, i.e. eigenvectors
Definition at line 71 of file KernelPCA.h.
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Reimplemented from CDimensionReductionPreprocessor.
Definition at line 88 of file KernelPCA.h.
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initialize preprocessor from features
Reimplemented from CDimensionReductionPreprocessor.
Definition at line 69 of file KernelPCA.cpp.
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default init
Definition at line 39 of file KernelPCA.cpp.
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If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.
generic | set to the type of the generic if returning TRUE |
Definition at line 296 of file SGObject.cpp.
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Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!
file | where to load from |
prefix | prefix for members |
Definition at line 369 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel, and CExponentialKernel.
Definition at line 426 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.
Definition at line 421 of file SGObject.cpp.
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Definition at line 262 of file SGObject.cpp.
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prints all parameter registered for model selection and their type
Definition at line 474 of file SGObject.cpp.
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prints registered parameters out
prefix | prefix for members |
Definition at line 308 of file SGObject.cpp.
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Save this object to file.
file | where to save the object; will be closed during returning if PREFIX is an empty string. |
prefix | prefix for members |
Definition at line 314 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CKernel.
Definition at line 436 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.
Definition at line 431 of file SGObject.cpp.
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setter for distance
distance | distance to set |
Definition at line 81 of file DimensionReductionPreprocessor.cpp.
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Definition at line 41 of file SGObject.cpp.
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Definition at line 46 of file SGObject.cpp.
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Definition at line 51 of file SGObject.cpp.
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Definition at line 56 of file SGObject.cpp.
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Definition at line 61 of file SGObject.cpp.
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Definition at line 66 of file SGObject.cpp.
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Definition at line 71 of file SGObject.cpp.
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Definition at line 76 of file SGObject.cpp.
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Definition at line 81 of file SGObject.cpp.
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Definition at line 86 of file SGObject.cpp.
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Definition at line 91 of file SGObject.cpp.
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Definition at line 96 of file SGObject.cpp.
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Definition at line 101 of file SGObject.cpp.
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Definition at line 106 of file SGObject.cpp.
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Definition at line 111 of file SGObject.cpp.
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set generic type to T
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set the parallel object
parallel | parallel object to use |
Definition at line 241 of file SGObject.cpp.
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set the version object
version | version object to use |
Definition at line 283 of file SGObject.cpp.
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setter for kernel
kernel | kernel to set |
Definition at line 94 of file DimensionReductionPreprocessor.cpp.
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setter for target dimension
dim | target dimension |
Definition at line 70 of file DimensionReductionPreprocessor.cpp.
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A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
Reimplemented in CGaussianKernel.
Definition at line 192 of file SGObject.cpp.
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unset generic type
this has to be called in classes specializing a template class
Definition at line 303 of file SGObject.cpp.
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Updates the hash of current parameter combination
Definition at line 248 of file SGObject.cpp.
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io
Definition at line 369 of file SGObject.h.
bias vector
Definition at line 104 of file KernelPCA.h.
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protectedinherited |
embedding converter to be used
Definition at line 127 of file DimensionReductionPreprocessor.h.
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distance to be used
Definition at line 121 of file DimensionReductionPreprocessor.h.
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parameters wrt which we can compute gradients
Definition at line 384 of file SGObject.h.
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Hash of parameter values
Definition at line 387 of file SGObject.h.
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features used by init. needed for apply
Definition at line 98 of file KernelPCA.h.
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true when already initialized
Definition at line 107 of file KernelPCA.h.
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kernel to be used
Definition at line 124 of file DimensionReductionPreprocessor.h.
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model selection parameters
Definition at line 381 of file SGObject.h.
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parameters
Definition at line 378 of file SGObject.h.
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target dim of dimensionality reduction preprocessor
Definition at line 118 of file DimensionReductionPreprocessor.h.
transformation matrix
Definition at line 101 of file KernelPCA.h.
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parallel
Definition at line 372 of file SGObject.h.
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version
Definition at line 375 of file SGObject.h.