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
obtain the number of feature "vectors"
In addition it provides helpers to check e.g. for compatibility of feature objects.
Currently there are 3 general feature classes, which are CDenseFeatures (dense matrices), CSparseFeatures (sparse matrices), CStringFeatures (a set of strings) from which all the specific features like CDenseFeatures<float64_t> (dense real valued feature matrices) are derived.
(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.h 第 68 行定义.
Public 成员函数 | |
CFeatures (int32_t size=0) | |
CFeatures (const CFeatures &orig) | |
CFeatures (CFile *loader) | |
virtual CFeatures * | duplicate () 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) |
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 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 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 const char * | get_name () const =0 |
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 () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
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void | set_generic () |
template<> | |
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 属性 | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_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 | |
CSubsetStack * | m_subset_stack |
CFeatures | ( | int32_t | size = 0 | ) |
copy constructor
在文件 Features.cpp 第 30 行定义.
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在文件 Features.cpp 第 53 行定义.
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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 |
被 CCombinedFeatures 重载.
在文件 Features.cpp 第 310 行定义.
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. |
在文件 Features.cpp 第 316 行定义.
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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. |
在文件 SGObject.cpp 第 597 行定义.
bool check_feature_compatibility | ( | CFeatures * | f | ) | const |
check feature compatibility
f | features to check for compatibility |
在文件 Features.cpp 第 283 行定义.
void clean_preprocessors | ( | ) |
clears all preprocs
在文件 Features.cpp 第 116 行定义.
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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.
在文件 SGObject.cpp 第 714 行定义.
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 |
被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.
在文件 Features.cpp 第 348 行定义.
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 |
被 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.cpp 第 340 行定义.
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 |
被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.
在文件 Features.h 第 235 行定义.
Convenience method for method with same name and list as parameter.
NOT IMPLEMENTED!
other | feature object to append |
被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t > , 以及 CCombinedFeatures 重载.
在文件 Features.h 第 249 行定义.
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A deep copy. All the instance variables will also be copied.
在文件 SGObject.cpp 第 198 行定义.
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duplicate feature object
abstract base method
在 CStreamingSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CStreamingStringFeatures< T >, CCombinedDotFeatures, CBinnedDotFeatures, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CHashedDocDotFeatures, CWDFeatures, CHashedWDFeatures, CSparsePolyFeatures, CStreamingHashedDocDotFeatures, CHashedWDFeaturesTransposed, CLBPPyrDotFeatures, CSNPFeatures, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CDenseFeatures< ST >, CSparseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CAttributeFeatures, CPolyFeatures, CStreamingVwFeatures, CRandomFourierDotFeatures, CIndexFeatures, CHashedDenseFeatures< ST >, CRandomKitchenSinksDotFeatures, CDenseSubSamplesFeatures< ST >, CHashedSparseFeatures< ST >, CMatrixFeatures< ST >, CDenseSubsetFeatures< ST >, CImplicitWeightedSpecFeatures, CExplicitSpecFeatures, CCombinedFeatures, CDummyFeatures, CLatentFeatures , 以及 CFactorGraphFeatures 内被实现.
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) |
在文件 SGObject.cpp 第 618 行定义.
int32_t get_cache_size | ( | ) | const |
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pure virtual |
get feature class
abstract base method
在 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, CHashedWDFeatures, CWDFeatures, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CExplicitSpecFeatures, CCombinedDotFeatures, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CHashedWDFeaturesTransposed, CSNPFeatures, CAttributeFeatures, CImplicitWeightedSpecFeatures, CIndexFeatures, CDenseSubSamplesFeatures< ST >, CDenseSubsetFeatures< ST >, CMatrixFeatures< ST >, CLBPPyrDotFeatures, CSparsePolyFeatures, CPolyFeatures, CCombinedFeatures, CLatentFeatures, CFactorGraphFeatures , 以及 CDummyFeatures 内被实现.
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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 |
被 CDenseSubSamplesFeatures< ST > 重载.
在文件 Features.cpp 第 355 行定义.
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pure virtual |
get feature type
abstract base method
在 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.
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在文件 SGObject.cpp 第 498 行定义.
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Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
在文件 SGObject.cpp 第 522 行定义.
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Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
在文件 SGObject.cpp 第 535 行定义.
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pure virtualinherited |
Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.
在 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 |
int32_t get_num_preprocessors | ( | ) | const |
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pure virtual |
get number of examples/vectors, possibly corresponding to the current subset
abstract base method
在 CStreamingVwFeatures, CStreamingSparseFeatures< T >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CSparseFeatures< ST >, CStreamingDenseFeatures< T >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CBinnedDotFeatures, CStreamingStringFeatures< T >, CHashedDenseFeatures< ST >, CRandomKitchenSinksDotFeatures, CHashedSparseFeatures< ST >, CHashedDocDotFeatures, CHashedWDFeatures, CWDFeatures, CExplicitSpecFeatures, CHashedWDFeaturesTransposed, CSNPFeatures, CStreamingHashedDocDotFeatures, CAttributeFeatures, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CImplicitWeightedSpecFeatures, CDenseSubSamplesFeatures< ST >, CDenseSubsetFeatures< ST >, CMatrixFeatures< ST >, CLBPPyrDotFeatures, CSparsePolyFeatures, CPolyFeatures, CIndexFeatures, CCombinedFeatures, CLatentFeatures, CCombinedDotFeatures, CFactorGraphFeatures , 以及 CDummyFeatures 内被实现.
CPreprocessor * get_preprocessor | ( | int32_t | num | ) | const |
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virtual |
bool has_property | ( | EFeatureProperty | p | ) | const |
check if features have given property
p | feature property |
在文件 Features.cpp 第 295 行定义.
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virtualinherited |
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 |
在文件 SGObject.cpp 第 296 行定义.
bool is_preprocessed | ( | int32_t | num | ) | const |
get whether specified preprocessor was already applied
num | index of preprocessor in list |
在文件 Features.cpp 第 149 行定义.
void list_feature_obj | ( | ) | const |
list feature object
在文件 Features.cpp 第 171 行定义.
void list_preprocessors | ( | ) |
print preprocessors
在文件 Features.cpp 第 131 行定义.
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virtual |
load features from file
loader | File object via which data shall be loaded |
被 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 > , 以及 CStringFeatures< uint16_t > 重载.
在文件 Features.cpp 第 269 行定义.
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virtualinherited |
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 |
在文件 SGObject.cpp 第 369 行定义.
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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. |
被 CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.
在文件 SGObject.cpp 第 426 行定义.
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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. |
被 CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.
在文件 SGObject.cpp 第 421 行定义.
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virtualinherited |
在文件 SGObject.cpp 第 262 行定义.
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inherited |
prints all parameter registered for model selection and their type
在文件 SGObject.cpp 第 474 行定义.
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virtualinherited |
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virtual |
removes all subsets Calls subset_changed_post() afterwards
被 CCombinedFeatures 重载.
在文件 Features.cpp 第 328 行定义.
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virtual |
removes that last added subset from subset stack, if existing Calls subset_changed_post() afterwards
被 CCombinedFeatures 重载.
在文件 Features.cpp 第 322 行定义.
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virtual |
in case there is a feature matrix allow for reshaping
NOT IMPLEMENTED!
num_features | new number of features |
num_vectors | new number of vectors |
被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.
在文件 Features.cpp 第 165 行定义.
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virtual |
save features to file
writer | File object via which data shall be saved |
被 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 > , 以及 CSparseFeatures< T > 重载.
在文件 Features.cpp 第 276 行定义.
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virtualinherited |
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 |
在文件 SGObject.cpp 第 314 行定义.
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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. |
被 CKernel 重载.
在文件 SGObject.cpp 第 436 行定义.
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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. |
被 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.cpp 第 431 行定义.
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inherited |
在文件 SGObject.cpp 第 41 行定义.
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inherited |
在文件 SGObject.cpp 第 46 行定义.
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inherited |
在文件 SGObject.cpp 第 51 行定义.
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inherited |
在文件 SGObject.cpp 第 56 行定义.
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inherited |
在文件 SGObject.cpp 第 61 行定义.
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inherited |
在文件 SGObject.cpp 第 66 行定义.
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inherited |
在文件 SGObject.cpp 第 71 行定义.
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inherited |
在文件 SGObject.cpp 第 76 行定义.
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inherited |
在文件 SGObject.cpp 第 81 行定义.
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inherited |
在文件 SGObject.cpp 第 86 行定义.
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inherited |
在文件 SGObject.cpp 第 91 行定义.
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inherited |
在文件 SGObject.cpp 第 96 行定义.
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inherited |
在文件 SGObject.cpp 第 101 行定义.
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inherited |
在文件 SGObject.cpp 第 106 行定义.
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inherited |
在文件 SGObject.cpp 第 111 行定义.
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inherited |
set generic type to T
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inherited |
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inherited |
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inherited |
void set_preprocessed | ( | int32_t | num | ) |
void set_property | ( | EFeatureProperty | p | ) |
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virtualinherited |
A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
被 CGaussianKernel 重载.
在文件 SGObject.cpp 第 192 行定义.
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virtual |
method may be overwritten to update things that depend on subset
被 CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char > , 以及 CStringFeatures< uint16_t > 重载.
在文件 Features.h 第 293 行定义.
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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?
被 CDenseSubSamplesFeatures< ST > 重载.
在文件 Features.h 第 323 行定义.
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inherited |
unset generic type
this has to be called in classes specializing a template class
在文件 SGObject.cpp 第 303 行定义.
void unset_property | ( | EFeatureProperty | p | ) |
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virtualinherited |
Updates the hash of current parameter combination
在文件 SGObject.cpp 第 248 行定义.
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inherited |
io
在文件 SGObject.h 第 369 行定义.
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inherited |
parameters wrt which we can compute gradients
在文件 SGObject.h 第 384 行定义.
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inherited |
Hash of parameter values
在文件 SGObject.h 第 387 行定义.
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inherited |
model selection parameters
在文件 SGObject.h 第 381 行定义.
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inherited |
parameters
在文件 SGObject.h 第 378 行定义.
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protected |
subset used for index transformations
在文件 Features.h 第 352 行定义.
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inherited |
parallel
在文件 SGObject.h 第 372 行定义.
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inherited |
version
在文件 SGObject.h 第 375 行定义.