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CFeatures类 参考abstract

详细描述

The class Features is the base class of all feature objects.

It can be understood as a dense real valued feature matrix (with e.g. columns as single feature vectors), a set of strings, graphs or any other arbitrary collection of objects. As a result this class is kept very general and implements only very weak interfaces to

(Multiple) Subsets (of subsets) are supported. Sub-classes may want to overwrite the subset_changed_post() method which is called automatically after each subset change. See method documentations to see how behaviour is changed when subsets are active. A subset is put onto a stack using the add_subset() method. The last added subset may be removed via remove_subset(). There is also the possibility to add subsets in place (this only stores one index vector in memory as opposed to many when add_subset() is called many times) with add_subset_in_place(). The latter does not allow to remove such modifications one-by-one.

在文件 Features.h68 行定义.

类 CFeatures 继承关系图:
Inheritance graph
[图例]

Public 成员函数

 CFeatures (int32_t size=0)
 
 CFeatures (const CFeatures &orig)
 
 CFeatures (CFile *loader)
 
virtual CFeaturesduplicate () const =0
 
virtual ~CFeatures ()
 
virtual EFeatureType get_feature_type () const =0
 
virtual EFeatureClass get_feature_class () const =0
 
virtual void add_preprocessor (CPreprocessor *p)
 
virtual void del_preprocessor (int32_t num)
 
CPreprocessorget_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 int32_t get_num_vectors () const =0
 
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 CFeaturescreate_merged_copy (CList *others)
 
virtual CFeaturescreate_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 CSubsetStackget_subset_stack ()
 
virtual void subset_changed_post ()
 
virtual CFeaturescopy_subset (SGVector< index_t > indices)
 
virtual CFeaturescopy_dimension_subset (SGVector< index_t > dims)
 
virtual bool support_compatible_class () const
 
virtual bool get_feature_class_compatibility (EFeatureClass rhs) const
 
virtual CSGObjectshallow_copy () const
 
virtual CSGObjectdeep_copy () const
 
virtual const char * get_name () const =0
 
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)
 
SGIOget_global_io ()
 
void set_global_parallel (Parallel *parallel)
 
Parallelget_global_parallel ()
 
void set_global_version (Version *version)
 
Versionget_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 CSGObjectclone ()
 

Public 属性

SGIOio
 
Parallelparallel
 
Versionversion
 
Parameterm_parameters
 
Parameterm_model_selection_parameters
 
Parameterm_gradient_parameters
 
uint32_t m_hash
 

Protected 成员函数

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 属性

CSubsetStackm_subset_stack
 

构造及析构函数说明

CFeatures ( int32_t  size = 0)

constructor

参数
sizecache size

在文件 Features.cpp23 行定义.

CFeatures ( const CFeatures orig)

copy constructor

在文件 Features.cpp30 行定义.

CFeatures ( CFile loader)

constructor

参数
loaderFile object via which data shall be loaded

在文件 Features.cpp44 行定义.

~CFeatures ( )
virtual

在文件 Features.cpp53 行定义.

成员函数说明

void add_preprocessor ( CPreprocessor p)
virtual

add preprocessor

参数
ppreprocessor to set

在文件 Features.cpp85 行定义.

void add_subset ( SGVector< index_t subset)
virtual

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

参数
subsetsubset of indices to add

CCombinedFeatures 重载.

在文件 Features.cpp310 行定义.

void add_subset_in_place ( SGVector< index_t subset)
virtual

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

参数
subsetsubset of indices to replace the latest one with.

在文件 Features.cpp316 行定义.

void build_gradient_parameter_dictionary ( CMap< TParameter *, CSGObject * > *  dict)
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.

参数
dictdictionary of parameters to be built.

在文件 SGObject.cpp597 行定义.

bool check_feature_compatibility ( CFeatures f) const

check feature compatibility

参数
ffeatures to check for compatibility
返回
if features are compatible

在文件 Features.cpp283 行定义.

void clean_preprocessors ( )

clears all preprocs

在文件 Features.cpp116 行定义.

CSGObject * clone ( )
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.

返回
an identical copy of the given object, which is disjoint in memory. NULL if the clone fails. Note that the returned object is SG_REF'ed

在文件 SGObject.cpp714 行定义.

CFeatures * copy_dimension_subset ( SGVector< index_t dims)
virtual

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!

参数
dimsindices of feature dimensions to copy
返回
new CFeatures instance with copies of specified features

CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.

在文件 Features.cpp348 行定义.

CFeatures * copy_subset ( SGVector< index_t indices)
virtual

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!

参数
indicesindices of feature elements to copy
返回
new CFeatures instance with copies of feature data

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 > , 以及 CCombinedFeatures 重载.

在文件 Features.cpp340 行定义.

virtual CFeatures* create_merged_copy ( CList others)
virtual

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!

参数
otherslist of feature objects to append
返回
new feature object which contains copy of data of this instance and given ones

CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.

在文件 Features.h235 行定义.

virtual CFeatures* create_merged_copy ( CFeatures other)
virtual

Convenience method for method with same name and list as parameter.

NOT IMPLEMENTED!

参数
otherfeature object to append
返回
new feature object which contains copy of data of this instance and of given one

CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t > , 以及 CCombinedFeatures 重载.

在文件 Features.h249 行定义.

CSGObject * deep_copy ( ) const
virtualinherited

A deep copy. All the instance variables will also be copied.

在文件 SGObject.cpp198 行定义.

void del_preprocessor ( int32_t  num)
virtual

delete preprocessor from list

参数
numindex of preprocessor in list

在文件 Features.cpp122 行定义.

virtual CFeatures* duplicate ( ) const
pure virtual
bool equals ( CSGObject other,
float64_t  accuracy = 0.0,
bool  tolerant = false 
)
virtualinherited

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.

参数
otherobject to compare with
accuracyaccuracy to use for comparison (optional)
tolerantallows linient check on float equality (within accuracy)
返回
true if all parameters were equal, false if not

在文件 SGObject.cpp618 行定义.

int32_t get_cache_size ( ) const

get cache size

返回
cache size

在文件 Features.cpp160 行定义.

virtual EFeatureClass get_feature_class ( ) const
pure virtual
bool get_feature_class_compatibility ( EFeatureClass  rhs) const
virtual

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

参数
rhsthe class in right hand side
返回
whether this class supports compatible computation

CDenseSubSamplesFeatures< ST > 重载.

在文件 Features.cpp355 行定义.

virtual EFeatureType get_feature_type ( ) const
pure virtual

get feature type

abstract base method

返回
templated feature type

CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CStreamingVwFeatures, CStreamingSparseFeatures< T >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CBinnedDotFeatures, CStreamingStringFeatures< T >, CHashedDenseFeatures< ST >, CRandomKitchenSinksDotFeatures, CHashedSparseFeatures< ST >, CHashedDocDotFeatures, CStreamingHashedDocDotFeatures, CWDFeatures, CHashedWDFeatures, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CExplicitSpecFeatures, CCombinedDotFeatures, CHashedWDFeaturesTransposed, CSNPFeatures, CAttributeFeatures, CImplicitWeightedSpecFeatures, CIndexFeatures, CDenseSubSamplesFeatures< ST >, CMatrixFeatures< ST >, CDenseSubsetFeatures< ST >, CLBPPyrDotFeatures, CSparsePolyFeatures, CPolyFeatures, CCombinedFeatures, CDummyFeatures, CLatentFeatures , 以及 CFactorGraphFeatures 内被实现.

SGIO * get_global_io ( )
inherited

get the io object

返回
io object

在文件 SGObject.cpp235 行定义.

Parallel * get_global_parallel ( )
inherited

get the parallel object

返回
parallel object

在文件 SGObject.cpp277 行定义.

Version * get_global_version ( )
inherited

get the version object

返回
version object

在文件 SGObject.cpp290 行定义.

SGStringList< char > get_modelsel_names ( )
inherited
返回
vector of names of all parameters which are registered for model selection

在文件 SGObject.cpp498 行定义.

char * get_modsel_param_descr ( const char *  param_name)
inherited

Returns description of a given parameter string, if it exists. SG_ERROR otherwise

参数
param_namename of the parameter
返回
description of the parameter

在文件 SGObject.cpp522 行定义.

index_t get_modsel_param_index ( const char *  param_name)
inherited

Returns index of model selection parameter with provided index

参数
param_namename of model selection parameter
返回
index of model selection parameter with provided name, -1 if there is no such

在文件 SGObject.cpp535 行定义.

virtual const char* get_name ( ) const
pure virtualinherited

Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.

返回
name of the SGSerializable

CMath, CHMM, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CSVMLight, CTrie< Trie >, CTrie< DNATrie >, CTrie< POIMTrie >, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CMultitaskKernelTreeNormalizer, CList, CDynProg, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CStatistics, CFile, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CSpecificityMeasure, CPrecisionMeasure, CPlif, CRecallMeasure, CDynamicObjectArray, CCrossCorrelationMeasure, CCSVFile, CF1Measure, CBinaryFile, CProtobufFile, CLaRank, CWRACCMeasure, CRBM, CTaxonomy, CBALMeasure, CBitString, CStreamingVwFeatures, CLibSVMFile, CStreamingSparseFeatures< T >, CErrorRateMeasure, CNeuralLayer, CMultitaskKernelPlifNormalizer, CWDSVMOcas, CMachine, CAccuracyMeasure, CStreamingFile, CQuadraticTimeMMD, CRandom, CStreamingMMD, CMemoryMappedFile< T >, CMultitaskKernelMaskNormalizer, CMemoryMappedFile< ST >, CAlphabet, CMKL, CLMNNStatistics, CStructuredModel, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CCombinedDotFeatures, CFeatureSelection< ST >, CFeatureSelection< float64_t >, CGUIStructure, CCache< T >, CCache< uint32_t >, CCache< ST >, CCache< float64_t >, CCache< uint8_t >, CCache< KERNELCACHE_ELEM >, CCache< char >, CCache< uint16_t >, CCache< shogun::SGSparseVectorEntry< T > >, CCache< shogun::SGSparseVectorEntry< float64_t > >, CCache< shogun::SGSparseVectorEntry< ST > >, CMultitaskKernelMaskPairNormalizer, CSVM, CNeuralNetwork, CMultitaskKernelNormalizer, CGUIClassifier, CGaussian, CGUIFeatures, CGMM, CHashedWDFeaturesTransposed, CBinaryStream< T >, CLinearHMM, CSimpleFile< T >, CDeepBeliefNetwork, CStreamingStringFeatures< T >, CParameterCombination, CNeuralLinearLayer, CStateModel, CMulticlassSVM, CNeuralConvolutionalLayer, CRandomKitchenSinksDotFeatures, COnlineLinearMachine, CVwParser, CPluginEstimate, CVowpalWabbit, CBinnedDotFeatures, CSVMOcas, CSVRLight, CPlifMatrix, CHashedWDFeatures, CCrossValidation, CImplicitWeightedSpecFeatures, CCombinedFeatures, CSparseMatrixOperator< T >, CSNPFeatures, CWDFeatures, CKMeans, CCrossValidationMulticlassStorage, CHashedDenseFeatures< ST >, CIOBuffer, CUAIFile, CTwoStateModel, CLossFunction, CPCA, CHMSVMModel, CDeepAutoencoder, CLeastAngleRegression, CGUIKernel, CKNN, CHashedSparseFeatures< ST >, CRandomFourierGaussPreproc, CMKLMulticlass, CAutoencoder, CHypothesisTest, CExplicitSpecFeatures, CLibLinearMTL, CModelSelectionParameters, CNOCCO, CPositionalPWM, CHashedDocDotFeatures, CGUIHMM, COnlineSVMSGD, CIntegration, CLibLinear, CJacobiEllipticFunctions, CLDA, CZeroMeanCenterKernelNormalizer, CSparsePolyFeatures, CHashedMultilabelModel, CSqrtDiagKernelNormalizer, CHuberLoss, CCplex, CScatterKernelNormalizer, CFisherLDA, CHSIC, CStochasticProximityEmbedding, CLatentModel, CRationalApproximation, CTableFactorType, CSVMSGD, CMulticlassMachine, CDixonQTestRejectionStrategy, CGMNPLib, CVwCacheReader, CLBPPyrDotFeatures, CRidgeKernelNormalizer, CDependenceMaximization, CLinearMachine, CMulticlassSOLabels, CGraphCut, CSerializableAsciiFile, CSGDQN, CSNPStringKernel, CTime, CMatrixFeatures< ST >, CWeightedCommWordStringKernel, CHingeLoss, CNeuralLayers, CTwoSampleTest, CSquaredLoss, CAbsoluteDeviationLoss, CExponentialLoss, CCustomKernel, CMulticlassLabels, CHash, CFactor, CPlifArray, CLinearTimeMMD, CQPBSVMLib, CStreamingHashedDocDotFeatures, CStreamingVwFile, CKernelIndependenceTest, CCustomDistance, CWeightedDegreeStringKernel, CKernelRidgeRegression, CBaggingMachine, CQDA, CNeuralLogisticLayer, CNeuralRectifiedLinearLayer, CTOPFeatures, CDiceKernelNormalizer, CHierarchicalMultilabelModel, CMultitaskKernelMklNormalizer, CTask, CGaussianProcessClassification, CVwEnvironment, CBinaryLabels, CMultilabelModel, CMultilabelSOLabels, CDomainAdaptationSVMLinear, CDotKernel, CCHAIDTree, CKernelTwoSampleTest, CMAPInferImpl, CWeightedDegreePositionStringKernel, CGaussianDistribution, CTanimotoKernelNormalizer, CCircularBuffer, CMCLDA, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CBesselKernel, CAvgDiagKernelNormalizer, CVarianceKernelNormalizer, CMulticlassModel, COnlineLibLinear, CIndexFeatures, CCARTree, CStreamingAsciiFile, CIndependenceTest, CHierarchical, CFKFeatures, CCombinedKernel, CSparseSpatialSampleStringKernel, CSpectrumMismatchRBFKernel, COperatorFunction< T >, CMultilabelCLRModel, COperatorFunction< float64_t >, CVwRegressor, CHashedDocConverter, CFactorGraphLabels, CKLInferenceMethod, CGaussianKernel, CCommWordStringKernel, CSubsequenceStringKernel, CSet< T >, CSparseInferenceBase, CDataGenerator, CNeuralInputLayer, CSequenceLabels, CPolyFeatures, CNode, CContingencyTableEvaluation, CChi2Kernel, CPyramidChi2, CSignal, CDenseMatrixOperator< T >, CLibSVR, CDenseMatrixOperator< float64_t >, CPeriodicKernel, CSalzbergWordStringKernel, CStructuredLabels, CSquaredHingeLoss, CNewtonSVM, CKLApproxDiagonalInferenceMethod, CLPBoost, CVwLearner, CIndexBlockTree, CExactInferenceMethod, CKLCholeskyInferenceMethod, CKLCovarianceInferenceMethod, CCommUlongStringKernel, CCompressor, CSingleFITCLaplacianBase, CIterativeLinearSolver< T, ST >, CIterativeLinearSolver< float64_t, float64_t >, CIterativeLinearSolver< complex128_t, float64_t >, CIterativeLinearSolver< T, T >, CSVMLin, CHistogram, CGaussianShiftKernel, CGCArray< T >, CMultiLaplacianInferenceMethod, CNeuralSoftmaxLayer, CHomogeneousKernelMap, CLocallyLinearEmbedding, CMahalanobisDistance, CAttributeFeatures, CRandomFourierDotFeatures, CFirstElementKernelNormalizer, CMap< K, T >, CLogLoss, CLogLossMargin, CSmoothHingeLoss, CSoftMaxLikelihood, CMap< shogun::TParameter *, shogun::SGVector< float64_t > >, CMap< shogun::TParameter *, shogun::CSGObject * >, CMap< std::string, int32_t >, CMap< std::string, shogun::SGVector< float64_t > >, CMap< std::string, T >, CMap< std::string, float64_t >, CVwNativeCacheReader, CDistanceKernel, CLatentLabels, CKLLowerTriangularInferenceMethod, CScatterSVM, CSpectrumRBFKernel, CMultilabelLabels, CSingleLaplacianInferenceMethodWithLBFGS, CMMDKernelSelection, CSegmentLoss, CKernelDistance, CLogDetEstimator, CLinearRidgeRegression, CGNPPLib, CStreamingFileFromFeatures, CPolyMatchStringKernel, CNeuralLeakyRectifiedLinearLayer, CDomainAdaptationSVM, COligoStringKernel, CSimpleLocalityImprovedStringKernel, CKLDualInferenceMethod, CKernelSelection, CStreamingVwCacheFile, CCircularKernel, CConstKernel, CDiagKernel, CExponentialARDKernel, CSphericalKernel, CLogitDVGLikelihood, CSingleFITCLaplacianInferenceMethod, CSingleFITCLaplacianInferenceMethodWithLBFGS, CEigenSolver, CC45ClassifierTree, CLPM, CEmbeddingConverter, CEuclideanDistance, CWeightedMajorityVote, CMulticlassOVREvaluation, CPolyKernel, CPolyMatchWordStringKernel, CID3ClassifierTree, CMultitaskClusteredLogisticRegression, CMultidimensionalScaling, CANOVAKernel, CProductKernel, CSparseKernel< ST >, CGaussianMatchStringKernel, CRandomForest, CLanczosEigenSolver, CKernelPCA, CNearestCentroid, CStreamingFileFromDenseFeatures< T >, CStreamingFileFromSparseFeatures< T >, CStreamingFileFromStringFeatures< T >, CFixedDegreeStringKernel, CStringKernel< ST >, CTensorProductPairKernel, CGaussianNaiveBayes, CStringKernel< uint16_t >, CStringKernel< char >, CStringKernel< uint64_t >, CKernelDensity, CParser, CTStudentKernel, CWaveletKernel, CTraceSampler, CMulticlassOneVsRestStrategy, CGaussianProcessRegression, CGEMPLP, CDiffusionMaps, CMinkowskiMetric, CExponentialKernel, CEPInferenceMethod, CLaplacianEigenmaps, CAttenuatedEuclideanDistance, CCauchyKernel, CLogKernel, CPowerKernel, CRationalQuadraticKernel, CWaveKernel, CLaplacianInferenceBase, CDistantSegmentsKernel, CLocalityImprovedStringKernel, CMatchWordStringKernel, CRegulatoryModulesStringKernel, CKernelMachine, CBAHSIC, MKLMulticlassGradient, CAUCKernel, CHistogramIntersectionKernel, CSigmoidKernel, CDistanceMachine, CGaussianProcessMachine, CFITCInferenceMethod, CSparseVGInferenceMethod, CStructuredOutputMachine, CKernelDependenceMaximization, CGaussianARDKernel, CInverseMultiQuadricKernel, CFFDiag, CJADiag, CJADiagOrth, CLabelsFactory, CStudentsTLikelihood, CJediDiag, CQDiag, CUWedge, CTreeMachineNode< T >, CLibLinearRegression, CMMDKernelSelectionCombOpt, CTreeMachineNode< ConditionalProbabilityTreeNodeData >, CTreeMachineNode< RelaxedTreeNodeData >, CTreeMachineNode< id3TreeNodeData >, CTreeMachineNode< VwConditionalProbabilityTreeNodeData >, CTreeMachineNode< CARTreeNodeData >, CTreeMachineNode< C45TreeNodeData >, CTreeMachineNode< CHAIDTreeNodeData >, CTreeMachineNode< NbodyTreeNodeData >, CMulticlassAccuracy, CGaussianShortRealKernel, CMultiquadricKernel, CLocalAlignmentStringKernel, CICAConverter, CSplineKernel, CDelimiterTokenizer, CDualVariationalGaussianLikelihood, CLogitVGPiecewiseBoundLikelihood, CDimensionReductionPreprocessor, CPerceptron, CHistogramWordStringKernel, CLogRationalApproximationIndividual, CMultitaskL12LogisticRegression, CTaskTree, CProbabilityDistribution, CConstMean, CGaussianLikelihood, CSingleSparseInferenceBase, CStochasticGBMachine, CMatrixOperator< T >, CTreeMachine< T >, CMultitaskROCEvaluation, CTreeMachine< ConditionalProbabilityTreeNodeData >, CTreeMachine< RelaxedTreeNodeData >, CTreeMachine< id3TreeNodeData >, CTreeMachine< VwConditionalProbabilityTreeNodeData >, CTreeMachine< CARTreeNodeData >, CTreeMachine< C45TreeNodeData >, CTreeMachine< CHAIDTreeNodeData >, CTreeMachine< NbodyTreeNodeData >, CCanberraMetric, CCosineDistance, CManhattanMetric, CJensenShannonKernel, CLinearKernel, CNumericalVGLikelihood, CCGMShiftedFamilySolver, CIterativeShiftedLinearFamilySolver< T, ST >, CLogRationalApproximationCGM, CMMDKernelSelectionCombMaxL2, CDualLibQPBMSOSVM, CIterativeShiftedLinearFamilySolver< float64_t, complex128_t >, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CLineReader, CIdentityKernelNormalizer, CLinearStringKernel, CLinearStructuredOutputMachine, CDecompressString< ST >, CGUIConverter, CIsomap, CNGramTokenizer, CStudentsTVGLikelihood, CMMDKernelSelectionMedian, CChiSquareDistance, CHammingWordDistance, CLogitVGLikelihood, CProbitVGLikelihood, CRandomSearchModelSelection, CGUILabels, MKLMulticlassGLPK, CSOBI, CKernelLocallyLinearEmbedding, CSparseDistance< ST >, CCrossValidationResult, CLatentFeatures, CBinaryTreeMachineNode< T >, CMMDKernelSelectionOpt, CSparseDistance< float64_t >, CAveragedPerceptron, CFFSep, CBrayCurtisDistance, CChebyshewMetric, CFactorGraphFeatures, CRegressionLabels, CNbodyTree, CMinimizerContext, CSparsePreprocessor< ST >, CLeastSquaresRegression, MKLMulticlassOptimizationBase, CVwNativeCacheWriter, CJediSep, CUWedgeSep, CSparseEuclideanDistance, CRealFileFeatures, CJobResultAggregator, CGaussianARDSparseKernel, CSingleLaplacianInferenceMethod, CMulticlassOneVsOneStrategy, CGUIPluginEstimate, CVwAdaptiveLearner, CStringDistance< ST >, CLinearLatentMachine, CDenseMatrixExactLog, CPNorm, CRescaleFeatures, CSparseMultilabel, CStringDistance< uint16_t >, CVwNonAdaptiveLearner, CStructuredAccuracy, CWeightedDegreeRBFKernel, CProbitLikelihood, CECOCRandomSparseEncoder, CMulticlassStrategy, CGradientCriterion, CLatentSVM, CIndependentJob, CGMNPSVM, CLogPlusOne, CMAPInference, CMixtureModel, CFactorGraphObservation, CLogitLikelihood, CNormOne, CLibSVM, CFactorAnalysis, CDenseSubSamplesFeatures< ST >, CStringFileFeatures< ST >, CScalarResult< T >, CDirectLinearSolverComplex, CIndividualJobResultAggregator, CBallTree, CKDTree, CStringPreprocessor< ST >, CMultitaskTraceLogisticRegression, CStringPreprocessor< uint16_t >, CStringPreprocessor< uint64_t >, CFastICA, CCanberraWordDistance, CManhattanWordDistance, CCrossValidationOutput, CLinearMulticlassMachine, CRationalApproximationCGMJob, CECOCDiscriminantEncoder, CRandomCARTree, CSumOne, CResultSet, CTaskGroup, CGUIDistance, CRationalApproximationIndividualJob, CSortWordString, CCCSOSVM, CIntronList, CRealNumber, CJade, CStoreVectorAggregator< T >, CIndexBlock, CIndexBlockGroup, CZeroMean, CConjugateOrthogonalCGSolver, CGradientModelSelection, CPruneVarSubMean, CSequence, CMultitaskLogisticRegression, CGUIPreprocessor, CStoreVectorAggregator< complex128_t >, CMeanSquaredError, CMeanSquaredLogError, CLatentSOSVM, CSortUlongString, CFeatureBlockLogisticRegression, CMeanAbsoluteError, CDummyFeatures, CListElement, CDenseExactLogJob, CMulticlassLibLinear, CDenseDistance< ST >, CRealDistance, CStringMap< T >, CLMNN, CMMDKernelSelectionMax, CDenseDistance< float64_t >, CStringMap< float64_t >, CStringMap< shogun::SGVector< float64_t > >, CStringMap< int32_t >, CSVMLightOneClass, CLinearLocalTangentSpaceAlignment, CNeighborhoodPreservingEmbedding, CEMBase< T >, CEMMixtureModel, CIndependentComputationEngine, CVectorResult< T >, CKernelStructuredOutputMachine, CThresholdRejectionStrategy, CVwConditionalProbabilityTree, CEMBase< MixModelData >, CHessianLocallyLinearEmbedding, CCustomMahalanobisDistance, CCombinationRule, CClusteringAccuracy, CClusteringMutualInformation, CMultilabelAccuracy, CMeanShiftDataGenerator, CMMDKernelSelectionComb, CFactorGraphModel, CLocalTangentSpaceAlignment, CSubsetStack, CStoreScalarAggregator< T >, CConjugateGradientSolver, CGridSearchModelSelection, CStochasticSOSVM, CMultitaskLeastSquaresRegression, CMajorityVote, CLinearOperator< T >, CMultitaskLinearMachine, CLinearOperator< float64_t >, CLinearOperator< complex128_t >, CMeanRule, CLocalityPreservingProjections, CGradientEvaluation, CDirectEigenSolver, CLinearSolver< T, ST >, CMulticlassLibSVM, CMKLRegression, CFactorDataSource, CFactorGraph, CTaskRelation, CLinearSolver< float64_t, float64_t >, CLinearSolver< complex128_t, float64_t >, CLinearSolver< T, T >, CSerialComputationEngine, CIndexBlockRelation, CECOCEncoder, CKernelMeanMatching, CROCEvaluation, CGaussianBlobsDataGenerator, CBalancedConditionalProbabilityTree, CFactorType, CSOSVMHelper, CMKLOneClass, CLibSVMOneClass, CMPDSVM, CGradientResult, CKernelMulticlassMachine, CNormalSampler, CECOCIHDDecoder, CConditionalProbabilityTree, CRelaxedTree, CFWSOSVM, CDomainAdaptationMulticlassLibLinear, CMKLClassification, CGPBTSVM, CSubset, CECOCRandomDenseEncoder, CMulticlassTreeGuidedLogisticRegression, CShareBoost, CGNPPSVM, CDirectSparseLinearSolver, CMulticlassLogisticRegression, CMulticlassOCAS, CFactorGraphDataGenerator, CPRCEvaluation, CStratifiedCrossValidationSplitting, CSparseInverseCovariance, CDisjointSet, CCrossValidationSplitting, CDenseSubsetFeatures< ST >, CECOCForestEncoder, CGUIMath, CGUITime, CTDistributedStochasticNeighborEmbedding, CCrossValidationPrintOutput, CManifoldSculpting, CCrossValidationMKLStorage, SerializableAsciiReader00, CJobResult, CFunction, CECOCAEDDecoder, CECOCDecoder, CECOCEDDecoder, CData, CNativeMulticlassMachine, CECOCStrategy, CConverter, CBaseMulticlassMachine, CECOCSimpleDecoder, CLOOCrossValidationSplitting, CECOCLLBDecoder, CStructuredData, CECOCHDDecoder, CRandomConditionalProbabilityTree, CECOCOVOEncoder, CECOCOVREncoder , 以及 CRejectionStrategy 内被实现.

int32_t get_num_preprocessed ( ) const

get the number of applied preprocs

返回
number of applied preprocessors

在文件 Features.cpp103 行定义.

int32_t get_num_preprocessors ( ) const

get number of preprocessors

返回
number of preprocessors

在文件 Features.cpp155 行定义.

virtual int32_t get_num_vectors ( ) const
pure virtual
CPreprocessor * get_preprocessor ( int32_t  num) const

get specified preprocessor

参数
numindex of preprocessor in list

在文件 Features.cpp93 行定义.

CSubsetStack * get_subset_stack ( )
virtual

returns subset stack

返回
subset stack

在文件 Features.cpp334 行定义.

bool has_property ( EFeatureProperty  p) const

check if features have given property

参数
pfeature property
返回
if features have given property

在文件 Features.cpp295 行定义.

bool is_generic ( EPrimitiveType *  generic) const
virtualinherited

If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.

参数
genericset to the type of the generic if returning TRUE
返回
TRUE if a class template.

在文件 SGObject.cpp296 行定义.

bool is_preprocessed ( int32_t  num) const

get whether specified preprocessor was already applied

参数
numindex of preprocessor in list

在文件 Features.cpp149 行定义.

void list_feature_obj ( ) const

list feature object

在文件 Features.cpp171 行定义.

void list_preprocessors ( )

print preprocessors

在文件 Features.cpp131 行定义.

void load ( CFile loader)
virtual
bool load_serializable ( CSerializableFile file,
const char *  prefix = "" 
)
virtualinherited

Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!

参数
filewhere to load from
prefixprefix for members
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp369 行定义.

void load_serializable_post ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill be thrown if an error occurs.

CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.

在文件 SGObject.cpp426 行定义.

void load_serializable_pre ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill be thrown if an error occurs.

CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.

在文件 SGObject.cpp421 行定义.

bool parameter_hash_changed ( )
virtualinherited
返回
whether parameter combination has changed since last update

在文件 SGObject.cpp262 行定义.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

在文件 SGObject.cpp474 行定义.

void print_serializable ( const char *  prefix = "")
virtualinherited

prints registered parameters out

参数
prefixprefix for members

在文件 SGObject.cpp308 行定义.

void remove_all_subsets ( )
virtual

removes all subsets Calls subset_changed_post() afterwards

CCombinedFeatures 重载.

在文件 Features.cpp328 行定义.

void remove_subset ( )
virtual

removes that last added subset from subset stack, if existing Calls subset_changed_post() afterwards

CCombinedFeatures 重载.

在文件 Features.cpp322 行定义.

bool reshape ( int32_t  num_features,
int32_t  num_vectors 
)
virtual

in case there is a feature matrix allow for reshaping

NOT IMPLEMENTED!

参数
num_featuresnew number of features
num_vectorsnew number of vectors
返回
if reshaping was successful

CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.

在文件 Features.cpp165 行定义.

void save ( CFile writer)
virtual
bool save_serializable ( CSerializableFile file,
const char *  prefix = "" 
)
virtualinherited

Save this object to file.

参数
filewhere to save the object; will be closed during returning if PREFIX is an empty string.
prefixprefix for members
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp314 行定义.

void save_serializable_post ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill be thrown if an error occurs.

CKernel 重载.

在文件 SGObject.cpp436 行定义.

void save_serializable_pre ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill be thrown if an error occurs.

CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.

在文件 SGObject.cpp431 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp41 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp46 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp51 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp56 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp61 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp66 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp71 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp76 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp81 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp86 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp91 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp96 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp101 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp106 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp111 行定义.

void set_generic ( )
inherited

set generic type to T

void set_global_io ( SGIO io)
inherited

set the io object

参数
ioio object to use

在文件 SGObject.cpp228 行定义.

void set_global_parallel ( Parallel parallel)
inherited

set the parallel object

参数
parallelparallel object to use

在文件 SGObject.cpp241 行定义.

void set_global_version ( Version version)
inherited

set the version object

参数
versionversion object to use

在文件 SGObject.cpp283 行定义.

void set_preprocessed ( int32_t  num)

set applied flag for preprocessor

参数
numindex of preprocessor in list

在文件 Features.cpp143 行定义.

void set_property ( EFeatureProperty  p)

set property

参数
pkernel property to set

在文件 Features.cpp300 行定义.

CSGObject * shallow_copy ( ) const
virtualinherited

A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.

CGaussianKernel 重载.

在文件 SGObject.cpp192 行定义.

virtual void subset_changed_post ( )
virtual

method may be overwritten to update things that depend on subset

CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char > , 以及 CStringFeatures< uint16_t > 重载.

在文件 Features.h293 行定义.

virtual bool support_compatible_class ( ) const
virtual

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?

返回
whether this class supports compatible computation

CDenseSubSamplesFeatures< ST > 重载.

在文件 Features.h323 行定义.

void unset_generic ( )
inherited

unset generic type

this has to be called in classes specializing a template class

在文件 SGObject.cpp303 行定义.

void unset_property ( EFeatureProperty  p)

unset property

参数
pkernel property to unset

在文件 Features.cpp305 行定义.

void update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination

在文件 SGObject.cpp248 行定义.

类成员变量说明

SGIO* io
inherited

io

在文件 SGObject.h369 行定义.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

在文件 SGObject.h384 行定义.

uint32_t m_hash
inherited

Hash of parameter values

在文件 SGObject.h387 行定义.

Parameter* m_model_selection_parameters
inherited

model selection parameters

在文件 SGObject.h381 行定义.

Parameter* m_parameters
inherited

parameters

在文件 SGObject.h378 行定义.

CSubsetStack* m_subset_stack
protected

subset used for index transformations

在文件 Features.h352 行定义.

Parallel* parallel
inherited

parallel

在文件 SGObject.h372 行定义.

Version* version
inherited

version

在文件 SGObject.h375 行定义.


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SHOGUN 机器学习工具包 - 项目文档