SHOGUN
4.1.0
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Class to generate dense features data via the streaming features interface. The core are pairs of methods to a) set the data model and parameters, and b) to generate a data vector using these model parameters Both methods are automatically called when calling get_next_example() This allows to treat generated data as a stream via the standard streaming features interface.
Streaming based data generator that samples from a distribution that is a multivariate isotropic Gaussian in a certain dimensions, where one selected dimension has its mean shifted by some value.
Definition at line 34 of file MeanShiftDataGenerator.h.
Public Member Functions | |
CMeanShiftDataGenerator () | |
CMeanShiftDataGenerator (float64_t mean_shift, index_t dimension, index_t m_dimension_shift=0) | |
virtual | ~CMeanShiftDataGenerator () |
virtual const char * | get_name () const |
void | set_mean_shift_model (float64_t mean_shift, index_t dimension, index_t m_dimension_shift=0) |
bool | get_next_example () |
void | release_example () |
virtual void | set_vector_reader () |
virtual void | set_vector_and_label_reader () |
virtual void | start_parser () |
virtual void | end_parser () |
virtual void | reset_stream () |
SGVector< float64_t > | get_vector () |
virtual float64_t | get_label () |
virtual int32_t | get_dim_feature_space () const |
virtual float32_t | dot (SGVector< float64_t > vec) |
virtual float32_t | dot (CStreamingDotFeatures *df) |
virtual float32_t | dense_dot (const float32_t *vec2, int32_t vec2_len) |
virtual float64_t | dense_dot (const float64_t *vec2, int32_t vec2_len) |
virtual void | add_to_dense_vec (float32_t alpha, float32_t *vec2, int32_t vec2_len, bool abs_val=false) |
virtual void | add_to_dense_vec (float64_t alpha, float64_t *vec2, int32_t vec2_len, bool abs_val=false) |
virtual int32_t | get_nnz_features_for_vector () |
int32_t | get_num_features () |
virtual EFeatureType | get_feature_type () const |
virtual EFeatureClass | get_feature_class () const |
virtual CFeatures * | duplicate () const |
virtual int32_t | get_num_vectors () const |
virtual CFeatures * | get_streamed_features (index_t num_elements) |
virtual void | dense_dot_range (float32_t *output, float32_t *alphas, float32_t *vec, int32_t dim, float32_t b, int32_t num_vec=0) |
virtual void | expand_if_required (float32_t *&vec, int32_t &len) |
virtual void | expand_if_required (float64_t *&vec, int32_t &len) |
virtual void * | get_feature_iterator () |
virtual bool | get_next_feature (int32_t &index, float32_t &value, void *iterator) |
virtual void | free_feature_iterator (void *iterator) |
void | set_read_functions () |
virtual bool | get_has_labels () |
virtual bool | is_seekable () |
virtual void | add_preprocessor (CPreprocessor *p) |
virtual void | del_preprocessor (int32_t num) |
CPreprocessor * | get_preprocessor (int32_t num) const |
void | set_preprocessed (int32_t num) |
bool | is_preprocessed (int32_t num) const |
int32_t | get_num_preprocessed () const |
int32_t | get_num_preprocessors () const |
void | clean_preprocessors () |
void | list_preprocessors () |
int32_t | get_cache_size () const |
virtual bool | reshape (int32_t num_features, int32_t num_vectors) |
void | list_feature_obj () const |
virtual void | load (CFile *loader) |
virtual void | save (CFile *writer) |
bool | check_feature_compatibility (CFeatures *f) const |
bool | has_property (EFeatureProperty p) const |
void | set_property (EFeatureProperty p) |
void | unset_property (EFeatureProperty p) |
virtual CFeatures * | create_merged_copy (CList *others) |
virtual CFeatures * | create_merged_copy (CFeatures *other) |
virtual void | add_subset (SGVector< index_t > subset) |
virtual void | add_subset_in_place (SGVector< index_t > subset) |
virtual void | remove_subset () |
virtual void | remove_all_subsets () |
virtual CSubsetStack * | get_subset_stack () |
virtual void | subset_changed_post () |
virtual CFeatures * | copy_subset (SGVector< index_t > indices) |
virtual CFeatures * | copy_dimension_subset (SGVector< index_t > dims) |
virtual bool | support_compatible_class () const |
virtual bool | get_feature_class_compatibility (EFeatureClass rhs) const |
virtual CSGObject * | shallow_copy () const |
virtual CSGObject * | deep_copy () const |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
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 | |
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 | |
float64_t | m_mean_shift |
index_t | m_dimension |
index_t | m_dimension_shift |
float32_t | combined_weight |
feature weighting in combined dot features More... | |
CInputParser< float64_t > | parser |
The parser object, which reads from input and returns parsed example objects. More... | |
SGVector< float64_t > | current_vector |
The current example's feature vector as an SGVector<T> More... | |
float64_t | current_label |
The current example's label. More... | |
bool | has_labels |
Whether examples are labelled or not. More... | |
CStreamingFile * | working_file |
The StreamingFile object to read from. More... | |
bool | seekable |
Whether the stream is seekable. More... | |
CSubsetStack * | m_subset_stack |
Constructor
Definition at line 15 of file MeanShiftDataGenerator.cpp.
CMeanShiftDataGenerator | ( | float64_t | mean_shift, |
index_t | dimension, | ||
index_t | m_dimension_shift = 0 |
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Constructor
mean_shift | Selected dimension is shifted by this amount |
dimension | Number of dimensions |
m_dimension_shift | Dimension that gets shifted |
Definition at line 21 of file MeanShiftDataGenerator.cpp.
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virtual |
Destructor
Definition at line 29 of file MeanShiftDataGenerator.cpp.
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Adds a subset of indices on top of the current subsets (possibly subset of subset). Every call causes a new active index vector to be stored. Added subsets can be removed one-by-one. If this is not needed, add_subset_in_place() should be used (does not store intermediate index vectors)
Calls subset_changed_post() afterwards
subset | subset of indices to add |
Reimplemented in CCombinedFeatures.
Definition at line 310 of file Features.cpp.
Sets/changes latest added subset. This allows to add multiple subsets with in-place memory requirements. They cannot be removed one-by-one afterwards, only the latest active can. If this is needed, use add_subset(). If no subset is active, this just adds.
Calls subset_changed_post() afterwards
subset | subset of indices to replace the latest one with. |
Definition at line 316 of file Features.cpp.
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virtualinherited |
Add alpha*current_vector to another dense vector. Takes the absolute value of current_vector if specified.
alpha | alpha |
vec2 | vector to add to |
vec2_len | length of vector |
abs_val | true if abs of current_vector should be taken |
Implements CStreamingDotFeatures.
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virtualinherited |
Add alpha*current_vector to another float64_t type dense vector. Takes the absolute value of current_vector if specified.
alpha | alpha |
vec2 | vector to add to |
vec2_len | length of vector |
abs_val | true if abs of current_vector should be taken |
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inherited |
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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check feature compatibility
f | features to check for compatibility |
Definition at line 283 of file Features.cpp.
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clears all preprocs
Definition at line 116 of file Features.cpp.
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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.
Creates a new CFeatures instance containing only the dimensions of the feature vector which are specified by the provided indices.
This method is needed for feature selection tasks NOT IMPLEMENTED!
dims | indices of feature dimensions to copy |
Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, and CDenseFeatures< uint16_t >.
Definition at line 348 of file Features.cpp.
Creates a new CFeatures instance containing copies of the elements which are specified by the provided indices.
This method is needed for a KernelMachine to store its model data. NOT IMPLEMENTED!
indices | indices of feature elements to copy |
Reimplemented in CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, and CCombinedFeatures.
Definition at line 340 of file Features.cpp.
Takes a list of feature instances and returns a new instance being a concatenation of a copy of this instace's data and the given instancess data. Note that the feature types have to be equal.
NOT IMPLEMENTED!
others | list of feature objects to append |
Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, and CDenseFeatures< uint16_t >.
Definition at line 235 of file Features.h.
Convenience method for method with same name and list as parameter.
NOT IMPLEMENTED!
other | feature object to append |
Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, and CCombinedFeatures.
Definition at line 249 of file Features.h.
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A deep copy. All the instance variables will also be copied.
Definition at line 198 of file SGObject.cpp.
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delete preprocessor from list
num | index of preprocessor in list |
Definition at line 122 of file Features.cpp.
Dot product with another dense vector.
vec2 | The dense vector with which to take the dot product. |
vec2_len | length of vector |
Implements CStreamingDotFeatures.
Dot product with another float64_t type dense vector.
vec2 | The dense vector with which to take the dot product. |
vec2_len | length of vector |
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virtualinherited |
Compute the dot product for all vectors. This function makes use of dense_dot alphas[i] * sparse[i]^T * w + b
output | result for the given vector range |
alphas | scalars to multiply with, may be NULL |
vec | dense vector to compute dot product with |
dim | length of the dense vector |
b | bias |
num_vec | number of vectors to operate on (indices 0 to num_vec-1) |
If num_vec == 0 or left to its default value, the function attempts to return dot product for all vectors. However, the given output vector must be preallocated!
note that the result will be written to output[0...(num_vec-1)] except when num_vec = 0
Definition at line 30 of file StreamingDotFeatures.cpp.
Dot product using the current vector and another vector, passed as arg.
vec | The vector with which to calculate the dot product. |
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virtualinherited |
Dot product taken with another StreamingDotFeatures object.
Currently only works if it is a CStreamingDenseFeatures object. It takes the dot product of the current_vectors of both objects.
df | CStreamingDotFeatures object. |
Implements CStreamingDotFeatures.
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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.
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virtualinherited |
Expand the vector passed so that it its length is equal to the dimensionality of the features. The previous values are kept intact through realloc, and the new ones are set to zero.
vec | float32_t* vector |
len | length of the vector |
Reimplemented in CStreamingVwFeatures.
Definition at line 53 of file StreamingDotFeatures.cpp.
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virtualinherited |
Expand the vector passed so that it its length is equal to the dimensionality of the features. The previous values are kept intact through realloc, and the new ones are set to zero.
vec | float64_t* vector |
len | length of the vector |
Reimplemented in CStreamingVwFeatures.
Definition at line 64 of file StreamingDotFeatures.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 |
Definition at line 93 of file StreamingDotFeatures.cpp.
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obtain the dimensionality of the feature space
(not mix this up with the dimensionality of the input space, usually obtained via get_num_features())
Implements CStreamingDotFeatures.
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Given a class in right hand side, does this class support compatible computation?
for example, is this->dot(rhs_prt) valid, where rhs_prt is the class in right hand side
rhs | the class in right hand side |
Reimplemented in CDenseSubSamplesFeatures< ST >.
Definition at line 355 of file Features.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
Definition at line 75 of file StreamingDotFeatures.cpp.
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Return whether the examples are labelled or not.
Definition at line 35 of file StreamingFeatures.cpp.
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Return the label of the current example as a float.
Examples must be labelled, otherwise an error occurs.
Implements CStreamingFeatures.
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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 CStreamingDenseFeatures< float64_t >.
Definition at line 53 of file MeanShiftDataGenerator.h.
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virtual |
get the next example from stream
Reimplemented from CStreamingDenseFeatures< float64_t >.
Definition at line 60 of file MeanShiftDataGenerator.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 |
Definition at line 87 of file StreamingDotFeatures.cpp.
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get number of non-zero features in vector
Reimplemented from CStreamingDotFeatures.
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Return the number of features in the current example.
Implements CStreamingFeatures.
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get the number of applied preprocs
Definition at line 103 of file Features.cpp.
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get number of preprocessors
Definition at line 155 of file Features.cpp.
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Return the number of vectors stored in this object.
Implements CFeatures.
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get specified preprocessor
num | index of preprocessor in list |
Definition at line 93 of file Features.cpp.
Returns a new CDebseFeatures instance which contains num_elements elements from the underlying stream. The object is not SG_REF'ed.
num_elements | num elements to save from stream |
Reimplemented from CStreamingFeatures.
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Return the current feature vector as an SGVector<T>.
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check if features have given property
p | feature property |
Definition at line 295 of file Features.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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get whether specified preprocessor was already applied
num | index of preprocessor in list |
Definition at line 149 of file Features.cpp.
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Whether the stream is seekable (to check if multiple epochs are possible), i.e., whether we can process examples in a batch fashion.
A stream can usually seekable when it comes from a file or when it comes from another conventional CFeatures object.
Definition at line 40 of file StreamingFeatures.cpp.
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list feature object
Definition at line 171 of file Features.cpp.
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print preprocessors
Definition at line 131 of file Features.cpp.
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load features from file
loader | File object via which data shall be loaded |
Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, and CStringFeatures< uint16_t >.
Definition at line 269 of file Features.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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release the example when done w/ processing
Reimplemented from CStreamingDenseFeatures< float64_t >.
Definition at line 81 of file MeanShiftDataGenerator.cpp.
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removes all subsets Calls subset_changed_post() afterwards
Reimplemented in CCombinedFeatures.
Definition at line 328 of file Features.cpp.
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removes that last added subset from subset stack, if existing Calls subset_changed_post() afterwards
Reimplemented in CCombinedFeatures.
Definition at line 322 of file Features.cpp.
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Reset a file back to the first example if possible.
Reimplemented from CStreamingFeatures.
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in case there is a feature matrix allow for reshaping
NOT IMPLEMENTED!
num_features | new number of features |
num_vectors | new number of vectors |
Reimplemented in CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, and CDenseFeatures< uint16_t >.
Definition at line 165 of file Features.cpp.
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save features to file
writer | File object via which data shall be saved |
Reimplemented in CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, and CSparseFeatures< T >.
Definition at line 276 of file Features.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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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.
void set_mean_shift_model | ( | float64_t | mean_shift, |
index_t | dimension, | ||
index_t | m_dimension_shift = 0 |
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) |
Set the mean shift model
mean_shift | Selected dimension is shifted by this amount |
dimension | Number of dimensions |
m_dimension_shift | Dimension that gets shifted |
Definition at line 33 of file MeanShiftDataGenerator.cpp.
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set applied flag for preprocessor
num | index of preprocessor in list |
Definition at line 143 of file Features.cpp.
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Set the vector reading functions.
The functions are implemented specific to the type in the derived class.
Definition at line 29 of file StreamingFeatures.cpp.
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Sets the read function (in case the examples are labelled) to get_*_vector_and_label from CStreamingFile.
The exact function depends on type T.
The parser uses the function set by this while reading labelled examples.
Implements CStreamingFeatures.
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Sets the read function (in case the examples are unlabelled) to get_*_vector() from CStreamingFile.
The exact function depends on type T.
The parser uses the function set by this while reading unlabelled examples.
Implements CStreamingFeatures.
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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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Starts the parsing thread.
To be called before trying to use any feature vectors from this object.
Implements CStreamingFeatures.
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method may be overwritten to update things that depend on subset
Reimplemented in CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, and CStringFeatures< uint16_t >.
Definition at line 293 of file Features.h.
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virtualinherited |
does this class support compatible computation bewteen difference classes? for example, this->dot(rhs_prt), can rhs_prt be an instance of a difference class?
Reimplemented in CDenseSubSamplesFeatures< ST >.
Definition at line 323 of file Features.h.
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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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protectedinherited |
feature weighting in combined dot features
Definition at line 299 of file StreamingDenseFeatures.h.
|
protectedinherited |
The current example's label.
Definition at line 308 of file StreamingDenseFeatures.h.
The current example's feature vector as an SGVector<T>
Definition at line 305 of file StreamingDenseFeatures.h.
|
protectedinherited |
Whether examples are labelled or not.
Definition at line 201 of file StreamingFeatures.h.
|
inherited |
io
Definition at line 369 of file SGObject.h.
|
protected |
dimension
Definition at line 82 of file MeanShiftDataGenerator.h.
|
protected |
Dimension that is shifted
Definition at line 85 of file MeanShiftDataGenerator.h.
|
inherited |
parameters wrt which we can compute gradients
Definition at line 384 of file SGObject.h.
|
inherited |
Hash of parameter values
Definition at line 387 of file SGObject.h.
|
protected |
model of data to generate
Definition at line 79 of file MeanShiftDataGenerator.h.
|
inherited |
model selection parameters
Definition at line 381 of file SGObject.h.
|
inherited |
parameters
Definition at line 378 of file SGObject.h.
|
protectedinherited |
subset used for index transformations
Definition at line 352 of file Features.h.
|
inherited |
parallel
Definition at line 372 of file SGObject.h.
|
protectedinherited |
The parser object, which reads from input and returns parsed example objects.
Definition at line 302 of file StreamingDenseFeatures.h.
|
protectedinherited |
Whether the stream is seekable.
Definition at line 207 of file StreamingFeatures.h.
|
inherited |
version
Definition at line 375 of file SGObject.h.
|
protectedinherited |
The StreamingFile object to read from.
Definition at line 204 of file StreamingFeatures.h.