SHOGUN
v1.1.0
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implement DotFeatures for the polynomial kernel
see DotFeatures for further discription
Definition at line 24 of file SparsePolyFeatures.h.
Public Member Functions | |
CSparsePolyFeatures () | |
CSparsePolyFeatures (CSparseFeatures< float64_t > *feat, int32_t degree, bool normalize, int32_t hash_bits) | |
virtual | ~CSparsePolyFeatures () |
CSparsePolyFeatures (const CSparsePolyFeatures &orig) | |
virtual int32_t | get_dim_feature_space () const |
virtual int32_t | get_nnz_features_for_vector (int32_t num) |
virtual EFeatureType | get_feature_type () |
virtual EFeatureClass | get_feature_class () |
virtual int32_t | get_num_vectors () const |
virtual float64_t | dot (int32_t vec_idx1, CDotFeatures *df, int32_t vec_idx2) |
virtual int32_t | get_size () |
virtual void * | get_feature_iterator (int32_t vector_index) |
bool | get_next_feature (int32_t &index, float64_t &value, void *iterator) |
void | free_feature_iterator (void *iterator) |
CFeatures * | duplicate () const |
virtual const char * | get_name () const |
virtual float64_t | dense_dot (int32_t vec_idx1, const float64_t *vec2, int32_t vec2_len) |
virtual void | add_to_dense_vec (float64_t alpha, int32_t vec_idx1, float64_t *vec2, int32_t vec2_len, bool abs_val=false) |
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CDotFeatures (int32_t size=0) | |
CDotFeatures (const CDotFeatures &orig) | |
CDotFeatures (CFile *loader) | |
virtual | ~CDotFeatures () |
virtual void | dense_dot_range (float64_t *output, int32_t start, int32_t stop, float64_t *alphas, float64_t *vec, int32_t dim, float64_t b) |
virtual void | dense_dot_range_subset (int32_t *sub_index, int32_t num, float64_t *output, float64_t *alphas, float64_t *vec, int32_t dim, float64_t b) |
float64_t | get_combined_feature_weight () |
void | set_combined_feature_weight (float64_t nw) |
SGMatrix< float64_t > | get_computed_dot_feature_matrix () |
SGVector< float64_t > | get_computed_dot_feature_vector (int32_t num) |
void | benchmark_add_to_dense_vector (int32_t repeats=5) |
void | benchmark_dense_dot_range (int32_t repeats=5) |
virtual SGVector< float64_t > | get_mean () |
virtual SGMatrix< float64_t > | get_cov () |
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CFeatures (int32_t size=0) | |
CFeatures (const CFeatures &orig) | |
CFeatures (CFile *loader) | |
virtual | ~CFeatures () |
virtual int32_t | add_preprocessor (CPreprocessor *p) |
set preprocessor | |
virtual CPreprocessor * | del_preprocessor (int32_t num) |
del current preprocessor | |
CPreprocessor * | get_preprocessor (int32_t num) |
get current preprocessor | |
void | set_preprocessed (int32_t num) |
bool | is_preprocessed (int32_t num) |
int32_t | get_num_preprocessed () |
get whether specified preprocessor (or all if num=1) was/were already applied | |
int32_t | get_num_preprocessors () const |
void | clean_preprocessors () |
int32_t | get_cache_size () |
virtual bool | reshape (int32_t num_features, int32_t num_vectors) |
void | list_feature_obj () |
virtual void | load (CFile *loader) |
virtual void | save (CFile *writer) |
bool | check_feature_compatibility (CFeatures *f) |
bool | has_property (EFeatureProperty p) |
void | set_property (EFeatureProperty p) |
void | unset_property (EFeatureProperty p) |
virtual void | set_subset (CSubset *subset) |
virtual void | remove_subset () |
virtual void | subset_changed_post () |
index_t | subset_idx_conversion (index_t idx) const |
bool | has_subset () const |
virtual CFeatures * | copy_subset (SGVector< index_t > indices) |
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CSGObject () | |
CSGObject (const CSGObject &orig) | |
virtual | ~CSGObject () |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
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 () |
SGVector< char * > | get_modelsel_names () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
Protected Member Functions | |
void | store_normalization_values () |
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void | display_progress (int32_t start, int32_t stop, int32_t v) |
Protected Attributes | |
CSparseFeatures< float64_t > * | m_feat |
int32_t | m_degree |
bool | m_normalize |
int32_t | m_input_dimensions |
int32_t | m_output_dimensions |
float64_t * | m_normalization_values |
uint32_t | mask |
int32_t | m_hash_bits |
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float64_t | combined_weight |
feature weighting in combined dot features | |
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CSubset * | m_subset |
Additional Inherited Members | |
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static void * | dense_dot_range_helper (void *p) |
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SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
default constructor
Definition at line 15 of file SparsePolyFeatures.cpp.
CSparsePolyFeatures | ( | CSparseFeatures< float64_t > * | feat, |
int32_t | degree, | ||
bool | normalize, | ||
int32_t | hash_bits | ||
) |
constructor
feat | real features |
degree | degree of the polynomial kernel (only degree 2 & 3 are supported) |
normalize | normalize kernel |
hash_bits | number of bits in hashd feature space |
Definition at line 30 of file SparsePolyFeatures.cpp.
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virtual |
Definition at line 48 of file SparsePolyFeatures.cpp.
CSparsePolyFeatures | ( | const CSparsePolyFeatures & | orig | ) |
copy constructor
not implemented!
orig | original PolyFeature |
Definition at line 54 of file SparsePolyFeatures.cpp.
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compute alpha*x+vec2
alpha | alpha |
vec_idx1 | index of first vector x |
vec2 | vec2 |
vec2_len | length of vec2 |
abs_val | if true add the absolute value |
Implements CDotFeatures.
Definition at line 186 of file SparsePolyFeatures.cpp.
compute dot product of vector with index arg1 with an given second vector
vec_idx1 | index of first vector |
vec2 | second vector |
vec2_len | length of second vector |
Implements CDotFeatures.
Definition at line 137 of file SparsePolyFeatures.cpp.
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compute dot product between vector1 and vector2, appointed by their indices
vec_idx1 | index of first vector |
df | DotFeatures (of same kind) to compute dot product with |
vec_idx2 | index of second vector |
Implements CDotFeatures.
Definition at line 115 of file SparsePolyFeatures.cpp.
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duplicate feature object
Implements CFeatures.
Definition at line 253 of file SparsePolyFeatures.cpp.
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clean up iterator call this function with the iterator returned by get_first_feature
iterator | as returned by get_first_feature |
Implements CDotFeatures.
Definition at line 110 of file SparsePolyFeatures.cpp.
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get dimensions of feature space
Implements CDotFeatures.
Definition at line 60 of file SparsePolyFeatures.cpp.
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get feature class
Implements CFeatures.
Definition at line 79 of file SparsePolyFeatures.cpp.
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iterate over the non-zero features
call get_feature_iterator first, followed by get_next_feature and free_feature_iterator to cleanup
vector_index | the index of the vector over whose components to iterate over |
Implements CDotFeatures.
Definition at line 98 of file SparsePolyFeatures.cpp.
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get feature type
Implements CFeatures.
Definition at line 74 of file SparsePolyFeatures.cpp.
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iterate over the non-zero features
call this function with the iterator returned by get_first_feature and call free_feature_iterator to cleanup
index | is returned by reference (-1 when not available) |
value | is returned by reference |
iterator | as returned by get_first_feature |
Implements CDotFeatures.
Definition at line 104 of file SparsePolyFeatures.cpp.
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get number of non-zero features in vector
num | index of vector |
Implements CDotFeatures.
Definition at line 65 of file SparsePolyFeatures.cpp.
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get number of vectors
Implements CFeatures.
Definition at line 84 of file SparsePolyFeatures.cpp.
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store the norm of each training example
Definition at line 234 of file SparsePolyFeatures.cpp.
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degree of the polynomial kernel
Definition at line 183 of file SparsePolyFeatures.h.
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features in original space
Definition at line 181 of file SparsePolyFeatures.h.
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number of bits in hash
Definition at line 195 of file SparsePolyFeatures.h.
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dimensions of the input space
Definition at line 187 of file SparsePolyFeatures.h.
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store norm of each training example
Definition at line 191 of file SparsePolyFeatures.h.
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normalize
Definition at line 185 of file SparsePolyFeatures.h.
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dimensions of the feature space of the polynomial kernel
Definition at line 189 of file SparsePolyFeatures.h.
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mask
Definition at line 193 of file SparsePolyFeatures.h.