Class Distance, a base class for all the distances used in the Shogun toolbox.
The distance (or metric) is a function \( d: X \times X \to R \) satisfying (for all \( x,y,z \in X\)) conditions below:
Currently distance inherited from the CDistance class should be symmetric.
The simplest example of a distance function is the Euclidean distance:
In the means of Shogun toolbox the distance function is defined on the 'space' of CFeatures.
在文件 Distance.h 第 80 行定义.
Public 成员函数 | |
CDistance () | |
CDistance (CFeatures *lhs, CFeatures *rhs) | |
virtual | ~CDistance () |
virtual float64_t | distance (int32_t idx_a, int32_t idx_b) |
virtual float64_t | distance_upper_bounded (int32_t idx_a, int32_t idx_b, float64_t upper_bound) |
SGMatrix< float64_t > | get_distance_matrix () |
template<class T > | |
SGMatrix< T > | get_distance_matrix () |
int32_t | compute_row_start (int64_t offs, int32_t n, bool symmetric) |
virtual bool | init (CFeatures *lhs, CFeatures *rhs) |
virtual void | cleanup ()=0 |
void | load (CFile *loader) |
void | save (CFile *writer) |
CFeatures * | get_lhs () |
CFeatures * | get_rhs () |
CFeatures * | replace_rhs (CFeatures *rhs) |
CFeatures * | replace_lhs (CFeatures *lhs) |
virtual void | remove_lhs_and_rhs () |
virtual void | remove_lhs () |
takes all necessary steps if the lhs is removed from distance matrix 更多... | |
virtual void | remove_rhs () |
takes all necessary steps if the rhs is removed from distance matrix 更多... | |
virtual EDistanceType | get_distance_type ()=0 |
virtual EFeatureType | get_feature_type ()=0 |
virtual EFeatureClass | get_feature_class ()=0 |
bool | get_precompute_matrix () |
virtual void | set_precompute_matrix (bool flag) |
virtual int32_t | get_num_vec_lhs () |
virtual int32_t | get_num_vec_rhs () |
virtual bool | has_features () |
bool | lhs_equals_rhs () |
template<class T > | |
void * | get_distance_matrix_helper (void *p) |
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 () |
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 () |
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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="", int32_t param_version=Version::get_version_parameter()) |
virtual bool | load_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter()) |
DynArray< TParameter * > * | load_file_parameters (const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="") |
DynArray< TParameter * > * | load_all_file_parameters (int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="") |
void | map_parameters (DynArray< TParameter * > *param_base, int32_t &base_version, DynArray< const SGParamInfo * > *target_param_infos) |
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 () |
静态 Public 成员函数 | |
template<class T > | |
static void * | get_distance_matrix_helper (void *p) |
Public 属性 | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_gradient_parameters |
ParameterMap * | m_parameter_map |
uint32_t | m_hash |
Protected 成员函数 | |
virtual float64_t | compute (int32_t idx_a, int32_t idx_b)=0 |
void | do_precompute_matrix () |
matrix precomputation 更多... | |
virtual TParameter * | migrate (DynArray< TParameter * > *param_base, const SGParamInfo *target) |
virtual void | one_to_one_migration_prepare (DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL) |
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) |
静态 Protected 成员函数 | |
static void * | run_distance_thread (void *p) |
run distance thread 更多... | |
Protected 属性 | |
float32_t * | precomputed_matrix |
bool | precompute_matrix |
CFeatures * | lhs |
feature vectors to occur on the left hand side 更多... | |
CFeatures * | rhs |
feature vectors to occur on the right hand side 更多... | |
int32_t | num_lhs |
int32_t | num_rhs |
CDistance | ( | ) |
default constructor
在文件 Distance.cpp 第 58 行定义.
init distance
lhs | features of left-hand side |
rhs | features of right-hand side |
在文件 Distance.cpp 第 64 行定义.
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virtual |
在文件 Distance.cpp 第 70 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 1174 行定义.
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pure virtual |
cleanup distance
abstract base method
在 CCustomDistance, CKernelDistance, CMahalanobisDistance, CSparseDistance< ST >, CSparseDistance< float64_t >, CStringDistance< ST >, CStringDistance< uint16_t >, CMinkowskiMetric, CEuclideanDistance, CAttenuatedEuclideanDistance, CRealDistance, CCanberraMetric, CCosineDistance, CManhattanMetric, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CChiSquareDistance, CHammingWordDistance, CBrayCurtisDistance, CChebyshewMetric, CCustomMahalanobisDistance, CCanberraWordDistance, CManhattanWordDistance , 以及 CSparseEuclideanDistance 内被实现.
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virtualinherited |
Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.
在文件 SGObject.cpp 第 1291 行定义.
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protectedpure virtual |
compute distance function for features a and b idx_{a,b} denote the index of the feature vectors in the corresponding feature object
在 CCustomDistance, CMahalanobisDistance, CEuclideanDistance, CKernelDistance, CAttenuatedEuclideanDistance, CMinkowskiMetric, CCanberraMetric, CCosineDistance, CManhattanMetric, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CChiSquareDistance, CHammingWordDistance, CRealDistance, CBrayCurtisDistance, CChebyshewMetric, CSparseEuclideanDistance, CCustomMahalanobisDistance, CCanberraWordDistance , 以及 CManhattanWordDistance 内被实现.
int32_t compute_row_start | ( | int64_t | offs, |
int32_t | n, | ||
bool | symmetric | ||
) |
compute row start offset for parallel kernel matrix computation
offs | offset |
n | number of columns |
symmetric | whether matrix is symmetric |
在文件 Distance.h 第 143 行定义.
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virtualinherited |
A deep copy. All the instance variables will also be copied.
在文件 SGObject.h 第 126 行定义.
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virtual |
get distance function for lhs feature vector a and rhs feature vector b
idx_a | feature vector a at idx_a |
idx_b | feature vector b at idx_b |
在文件 Distance.cpp 第 189 行定义.
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virtual |
get distance function for lhs feature vector a and rhs feature vector b. The computation of the distance stops if the intermediate result is larger than upper_bound. This is useful to use with John Langford's Cover Tree and it is ONLY implemented for Euclidean distance
idx_a | feature vector a at idx_a |
idx_b | feature vector b at idx_b |
upper_bound | value above which the computation halts |
被 CEuclideanDistance 重载.
在文件 Distance.h 第 117 行定义.
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protected |
matrix precomputation
在文件 Distance.cpp 第 227 行定义.
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 1195 行定义.
SGMatrix<T> get_distance_matrix | ( | ) |
get distance matrix (templated)
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static |
helper for computing the kernel matrix in a parallel way
p | thread parameters |
void* get_distance_matrix_helper | ( | void * | p | ) |
在文件 Distance.cpp 第 266 行定义.
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pure virtual |
get distance type we are
abstrace base method
在 CCustomDistance, CSparseDistance< ST >, CSparseDistance< float64_t >, CMahalanobisDistance, CStringDistance< ST >, CStringDistance< uint16_t >, CMinkowskiMetric, CEuclideanDistance, CKernelDistance, CAttenuatedEuclideanDistance, CRealDistance, CCanberraMetric, CCosineDistance, CManhattanMetric, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CDenseDistance< ST >, CDenseDistance< float64_t >, CChiSquareDistance, CHammingWordDistance, CBrayCurtisDistance, CChebyshewMetric, CCustomMahalanobisDistance, CCanberraWordDistance, CManhattanWordDistance , 以及 CSparseEuclideanDistance 内被实现.
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pure virtual |
get feature class the distance can deal with
abstract base method
在 CCustomDistance, CKernelDistance, CSparseDistance< ST >, CSparseDistance< float64_t >, CStringDistance< ST >, CStringDistance< uint16_t >, CDenseDistance< ST > , 以及 CDenseDistance< float64_t > 内被实现.
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pure virtual |
get feature type the distance can deal with
abstrace base method
在 CSparseDistance< ST >, CStringDistance< ST >, CSparseDistance< ST >, CStringDistance< ST >, CSparseDistance< ST >, CStringDistance< ST >, CCustomDistance, CSparseDistance< ST >, CStringDistance< ST >, CSparseDistance< ST >, CStringDistance< ST >, CSparseDistance< ST >, CStringDistance< ST >, CSparseDistance< ST >, CMahalanobisDistance, CStringDistance< ST >, CEuclideanDistance, CKernelDistance, CAttenuatedEuclideanDistance, CDenseDistance< ST >, CSparseDistance< ST >, CSparseDistance< float64_t >, CSparseEuclideanDistance, CDenseDistance< ST >, CStringDistance< ST >, CStringDistance< uint16_t >, CDenseDistance< ST >, CDenseDistance< ST >, CRealDistance, CDenseDistance< float64_t >, CDenseDistance< ST >, CDenseDistance< ST >, CDenseDistance< ST > , 以及 CDenseDistance< ST > 内被实现.
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inherited |
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inherited |
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inherited |
CFeatures* get_lhs | ( | ) |
get left-hand side features used in distance matrix
在文件 Distance.h 第 194 行定义.
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inherited |
在文件 SGObject.cpp 第 1066 行定义.
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inherited |
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 1090 行定义.
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inherited |
Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
在文件 SGObject.cpp 第 1103 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'.
实现了 SGRefObject.
在 CMath, CHMM, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CTrie< Trie >, CTrie< DNATrie >, CTrie< POIMTrie >, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CMultitaskKernelTreeNormalizer, CDynProg, CList, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CFile, CSparseFeatures< T >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CStatistics, CSpecificityMeasure, CLibSVMFile, CPrecisionMeasure, CPlif, CRecallMeasure, CDynamicObjectArray, CCrossCorrelationMeasure, CCSVFile, CF1Measure, CLaRank, CBinaryFile, CWRACCMeasure, CProtobufFile, CTaxonomy, CBALMeasure, CBitString, CStreamingVwFeatures, CStreamingSparseFeatures< T >, CMultitaskKernelPlifNormalizer, CErrorRateMeasure, CWDSVMOcas, CMachine, CAccuracyMeasure, CStreamingFile, CRandom, CStreamingMMD, CMultitaskKernelMaskNormalizer, CMemoryMappedFile< T >, CMemoryMappedFile< ST >, CMKL, CLMNNStatistics, CAlphabet, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CCombinedDotFeatures, 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< ST > >, CMultitaskKernelMaskPairNormalizer, CSVM, CMultitaskKernelNormalizer, CGUIClassifier, CGUIFeatures, CGMM, CHashedWDFeaturesTransposed, CLinearHMM, CStructuredModel, CSimpleFile< T >, CParameterCombination, CGaussian, CBinaryStream< T >, CStreamingStringFeatures< T >, CMulticlassSVM, CStateModel, COnlineLinearMachine, CRandomKitchenSinksDotFeatures, CVwParser, CPluginEstimate, CVowpalWabbit, CBinnedDotFeatures, CSVMOcas, CQuadraticTimeMMD, CHashedWDFeatures, CPlifMatrix, CCrossValidation, CImplicitWeightedSpecFeatures, CSparseMatrixOperator< T >, CCombinedFeatures, CSNPFeatures, CIOBuffer, CWDFeatures, CCrossValidationMulticlassStorage, CHashedDenseFeatures< ST >, CPCA, CLeastAngleRegression, CTwoStateModel, CHMSVMModel, CKMeans, CLossFunction, CKNN, CRandomFourierGaussPreproc, CGUIKernel, CMKLMulticlass, CHashedSparseFeatures< ST >, CExplicitSpecFeatures, CLibLinearMTL, CModelSelectionParameters, CGUIHMM, CHashedDocDotFeatures, CJacobiEllipticFunctions, CHypothesisTest, COnlineSVMSGD, CPositionalPWM, CZeroMeanCenterKernelNormalizer, CSparsePolyFeatures, CCplex, CSqrtDiagKernelNormalizer, CScatterKernelNormalizer, CRationalApproximation, CStochasticProximityEmbedding, CHSIC, CLatentModel, CGMNPLib, CDixonQTestRejectionStrategy, CLibLinear, CMulticlassMachine, CTableFactorType, CSVMSGD, CVwCacheReader, CLBPPyrDotFeatures, CRidgeKernelNormalizer, CLinearMachine, CMulticlassSOLabels, CTime, CSGDQN, CSNPStringKernel, CMatrixFeatures< ST >, CWeightedCommWordStringKernel, CHingeLoss, CQPBSVMLib, CSerializableAsciiFile, CSquaredLoss, CTwoSampleTest, CCustomKernel, CLinearTimeMMD, CFactor, CPlifArray, CStreamingVwFile, CMulticlassLabels, CHash, CStreamingHashedDocDotFeatures, CQDA, CKernelRidgeRegression, CCustomDistance, CWeightedDegreeStringKernel, CBaggingMachine, CTOPFeatures, CDiceKernelNormalizer, CMultitaskKernelMklNormalizer, CTask, CVwEnvironment, CBinaryLabels, CMAPInferImpl, CDomainAdaptationSVMLinear, CLDA, CMCLDA, CKernelTwoSampleTest, CWeightedDegreePositionStringKernel, CBesselKernel, CTanimotoKernelNormalizer, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CAvgDiagKernelNormalizer, CVarianceKernelNormalizer, CCircularBuffer, CMulticlassModel, COperatorFunction< T >, COperatorFunction< float64_t >, CHierarchical, CIndependenceTest, CFKFeatures, CSpectrumMismatchRBFKernel, CCombinedKernel, CSparseSpatialSampleStringKernel, CVwRegressor, CHashedDocConverter, CFactorGraphLabels, CSubsequenceStringKernel, CDataGenerator, CDotKernel, CGaussianKernel, CCommWordStringKernel, CSet< T >, CDenseMatrixOperator< T >, CDenseMatrixOperator< float64_t >, CSequenceLabels, CNode, COnlineLibLinear, CContingencyTableEvaluation, CPolyFeatures, CStreamingAsciiFile, CLibSVR, CChi2Kernel, CPyramidChi2, CSignal, CIntegration, CLPBoost, CKernelIndependenceTest, CSalzbergWordStringKernel, CStructuredLabels, CSquaredHingeLoss, CNewtonSVM, CCompressor, CIterativeLinearSolver< T, ST >, CIterativeLinearSolver< float64_t, float64_t >, CIterativeLinearSolver< complex128_t, float64_t >, CIterativeLinearSolver< T, T >, CSVMLin, CVwLearner, CLocallyLinearEmbedding, CDistanceKernel, CCommUlongStringKernel, CHomogeneousKernelMap, CVwNativeCacheReader, CHistogram, CGaussianShiftKernel, CMahalanobisDistance, CAttributeFeatures, CRandomFourierDotFeatures, CFirstElementKernelNormalizer, CGCArray< T >, CMap< T, K >, CLogLoss, CLogLossMargin, CSmoothHingeLoss, CMap< shogun::TParameter *, shogun::SGVector< float64_t > >, CMap< shogun::TParameter *, shogun::CSGObject * >, CGNPPLib, CLatentLabels, CMultilabelLabels, CScatterSVM, CLinearRidgeRegression, CSpectrumRBFKernel, CIndexBlockTree, CSegmentLoss, CGaussianProcessBinaryClassification, CKernelDistance, CEigenSolver, CLPM, CCircularKernel, CSphericalKernel, CPolyMatchStringKernel, CSimpleLocalityImprovedStringKernel, CGaussianDistribution, CStreamingFileFromFeatures, CStreamingVwCacheFile, COligoStringKernel, CLanczosEigenSolver, CMultidimensionalScaling, CANOVAKernel, CConstKernel, CDiagKernel, CMulticlassMultipleOutputLabels, CKernelPCA, CMultitaskClusteredLogisticRegression, CEmbeddingConverter, CEuclideanDistance, CWeightedMajorityVote, CMulticlassOVREvaluation, CPolyKernel, CPolyMatchWordStringKernel, CLogDetEstimator, CTraceSampler, CNearestCentroid, CStreamingFileFromDenseFeatures< T >, CStreamingFileFromSparseFeatures< T >, CStreamingFileFromStringFeatures< T >, CProductKernel, CSparseKernel< ST >, CGaussianMatchStringKernel, CTStudentKernel, CGaussianProcessRegression, CDiffusionMaps, CFixedDegreeStringKernel, CStringKernel< ST >, CTensorProductPairKernel, CDistanceMachine, CGaussianNaiveBayes, CMulticlassOneVsRestStrategy, CStringKernel< uint16_t >, CStringKernel< char >, CStringKernel< uint64_t >, CLaplacianEigenmaps, CCauchyKernel, CLogKernel, CPowerKernel, CRationalQuadraticKernel, CWaveKernel, CWaveletKernel, CID3ClassifierTree, MKLMulticlassGradient, CMinkowskiMetric, CExponentialKernel, CAttenuatedEuclideanDistance, CParser, CDistantSegmentsKernel, CKernelMachine, CInverseMultiQuadricKernel, CLocalityImprovedStringKernel, CMatchWordStringKernel, CRegulatoryModulesStringKernel, CFFDiag, CJADiag, CJADiagOrth, CAUCKernel, CHistogramIntersectionKernel, CSigmoidKernel, CJediDiag, CQDiag, CUWedge, CMMDKernelSelectionCombOpt, CMultiquadricKernel, CExactInferenceMethod, CLocalAlignmentStringKernel, CLabelsFactory, CStructuredOutputMachine, CLogRationalApproximationIndividual, CTreeMachineNode< T >, CTreeMachineNode< ConditionalProbabilityTreeNodeData >, CTreeMachineNode< RelaxedTreeNodeData >, CTreeMachineNode< id3TreeNodeData >, CTreeMachineNode< VwConditionalProbabilityTreeNodeData >, CICAConverter, CMulticlassAccuracy, CGaussianARDKernel, CGaussianShortRealKernel, CMatrixOperator< T >, CMMDKernelSelectionCombMaxL2, CPerceptron, CSplineKernel, CLinearOperator< T >, CCGMShiftedFamilySolver, CIterativeShiftedLinearFamilySolver< T, ST >, CLogRationalApproximationCGM, CDimensionReductionPreprocessor, CLinearOperator< float64_t >, CLinearOperator< complex128_t >, CIterativeShiftedLinearFamilySolver< float64_t, complex128_t >, CGHMM, CHistogramWordStringKernel, CDelimiterTokenizer, CTaskTree, CProbabilityDistribution, CFITCInferenceMethod, CLaplacianInferenceMethod, CTreeMachine< T >, CMultitaskL12LogisticRegression, CMultitaskROCEvaluation, CGUIConverter, CTreeMachine< ConditionalProbabilityTreeNodeData >, CTreeMachine< RelaxedTreeNodeData >, CTreeMachine< id3TreeNodeData >, CTreeMachine< VwConditionalProbabilityTreeNodeData >, CCanberraMetric, CCosineDistance, CManhattanMetric, CJensenShannonKernel, CLinearKernel, CDualLibQPBMSOSVM, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CIdentityKernelNormalizer, CLinearStringKernel, CDecompressString< ST >, CGUILabels, CSOBI, CKernelLocallyLinearEmbedding, CLinearStructuredOutputMachine, CMMDKernelSelection, CMMDKernelSelectionComb, CMMDKernelSelectionMedian, MKLMulticlassGLPK, CFFSep, CChiSquareDistance, CHammingWordDistance, CLineReader, CJobResultAggregator, CNGramTokenizer, CRandomSearchModelSelection, CMulticlassOneVsOneStrategy, CLeastSquaresRegression, CAveragedPerceptron, CVwNativeCacheWriter, CJediSep, CUWedgeSep, CSparseDistance< ST >, CCrossValidationResult, CLatentFeatures, CDenseMatrixExactLog, CBinaryTreeMachineNode< T >, CLibLinearRegression, CMMDKernelSelectionOpt, CGUIPluginEstimate, CSparseDistance< float64_t >, CVwAdaptiveLearner, CBrayCurtisDistance, CChebyshewMetric, CFactorGraphFeatures, CRegressionLabels, MKLMulticlassOptimizationBase, CVwNonAdaptiveLearner, CSparseEuclideanDistance, CRealFileFeatures, CLinearARDKernel, CIndependentJob, CPNorm, CStringDistance< ST >, CEPInferenceMethod, CMulticlassStrategy, CRescaleFeatures, CMAPInference, CStringDistance< uint16_t >, CWeightedDegreeRBFKernel, CDirectLinearSolverComplex, CIndividualJobResultAggregator, CECOCRandomSparseEncoder, CLogPlusOne, CGradientCriterion, CStructuredAccuracy, CScalarResult< T >, CRationalApproximationCGMJob, CGMNPSVM, CNormOne, CMultitaskLogisticRegression, CFastICA, CFactorGraphObservation, CLinearLatentMachine, CRationalApproximationIndividualJob, CMultitaskTraceLogisticRegression, CGUIDistance, CLibSVM, CStringFileFeatures< ST >, CLatentSVM, CLinearMulticlassMachine, CConjugateOrthogonalCGSolver, CSumOne, CCCSOSVM, CJade, CCanberraWordDistance, CManhattanWordDistance, CCrossValidationOutput, CGradientModelSelection, CECOCDiscriminantEncoder, CSortWordString, CTaskGroup, CGUIPreprocessor, CFeatureBlockLogisticRegression, CStudentsTLikelihood, CDenseExactLogJob, CPruneVarSubMean, CIntronList, CRealNumber, CStoreVectorAggregator< T >, CMulticlassLibLinear, CSortUlongString, CSequence, CResultSet, CStoreVectorAggregator< complex128_t >, CIsomap, CMeanSquaredError, CMeanSquaredLogError, CLatentSOSVM, CIndependentComputationEngine, CIndexBlock, CLMNN, CThresholdRejectionStrategy, CLinearLocalTangentSpaceAlignment, CNeighborhoodPreservingEmbedding, CMeanAbsoluteError, CDummyFeatures, CVectorResult< T >, CListElement, CHessianLocallyLinearEmbedding, CDenseDistance< ST >, CRealDistance, CStoreScalarAggregator< T >, CIndexBlockGroup, CConjugateGradientSolver, CSparsePreprocessor< ST >, CMMDKernelSelectionMax, CMultitaskLeastSquaresRegression, CDenseDistance< float64_t >, CLocalTangentSpaceAlignment, CClusteringAccuracy, CClusteringMutualInformation, CMeanShiftDataGenerator, CGaussianLikelihood, CKernelStructuredOutputMachine, CVwConditionalProbabilityTree, CMultitaskLinearMachine, CCustomMahalanobisDistance, CCombinationRule, CGaussianProcessMachine, CStringPreprocessor< ST >, CFactorGraphModel, CStochasticSOSVM, CStringPreprocessor< uint16_t >, CStringPreprocessor< uint64_t >, CSubsetStack, CDirectEigenSolver, CLinearSolver< T, ST >, CGridSearchModelSelection, CLinearSolver< float64_t, float64_t >, CLinearSolver< complex128_t, float64_t >, CLinearSolver< T, T >, CLocalityPreservingProjections, CMajorityVote, CMeanRule, CGradientEvaluation, CSerialComputationEngine, CKernelMulticlassMachine, CNormalSampler, CMulticlassLibSVM, CMKLRegression, CFactorDataSource, CFactorGraph, CDomainAdaptationMulticlassLibLinear, CGaussianBlobsDataGenerator, CECOCEncoder, CMulticlassTreeGuidedLogisticRegression, CKernelMeanMatching, CTaskRelation, CROCEvaluation, CIndexBlockRelation, CDirectSparseLinearSolver, CMulticlassLogisticRegression, CBalancedConditionalProbabilityTree, CFactorType, CSOSVMHelper, CMKLClassification, CMKLOneClass, CGPBTSVM, CLibSVMOneClass, CGradientResult, CECOCIHDDecoder, CConditionalProbabilityTree, CRelaxedTree, CGNPPSVM, CMPDSVM, CSubset, CProbitLikelihood, CECOCRandomDenseEncoder, CMulticlassOCAS, CShareBoost, CStratifiedCrossValidationSplitting, CPRCEvaluation, CGUIMath, CGUITime, CCrossValidationSplitting, CLogitLikelihood, CSparseInverseCovariance, CDisjointSet, CTDistributedStochasticNeighborEmbedding, CDenseSubsetFeatures< ST >, CECOCForestEncoder, CFactorAnalysis, CManifoldSculpting, CJobResult, CCrossValidationPrintOutput, CECOCAEDDecoder, CECOCDecoder, CCrossValidationMKLStorage, CNativeMulticlassMachine, CFunction, CECOCEDDecoder, CECOCStrategy, CData, CZeroMean, CConverter, CLOOCrossValidationSplitting, CECOCSimpleDecoder, SerializableAsciiReader00, CBaseMulticlassMachine, CECOCLLBDecoder, CStructuredData, CECOCHDDecoder, CECOCOVOEncoder, CECOCOVREncoder, CRandomConditionalProbabilityTree , 以及 CRejectionStrategy 内被实现.
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virtual |
get number of vectors of lhs features
被 CCustomDistance 重载.
在文件 Distance.h 第 282 行定义.
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virtual |
get number of vectors of rhs features
被 CCustomDistance 重载.
在文件 Distance.h 第 291 行定义.
bool get_precompute_matrix | ( | ) |
FIXME: precompute matrix should be dropped, handling should be via customdistance
在文件 Distance.h 第 260 行定义.
CFeatures* get_rhs | ( | ) |
get right-hand side features used in distance matrix
在文件 Distance.h 第 200 行定义.
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virtual |
test whether features have been assigned to lhs and rhs
被 CCustomDistance 重载.
在文件 Distance.h 第 300 行定义.
init distance
make sure to check that your distance can deal with the supplied features (!)
lhs | features of left-hand side |
rhs | features of right-hand side |
被 CCustomDistance, CMahalanobisDistance, CKernelDistance, CMinkowskiMetric, CEuclideanDistance, CAttenuatedEuclideanDistance, CCanberraMetric, CCosineDistance, CManhattanMetric, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CChiSquareDistance, CHammingWordDistance, CBrayCurtisDistance, CChebyshewMetric, CCanberraWordDistance, CManhattanWordDistance, CSparseEuclideanDistance, CStringDistance< ST >, CStringDistance< uint16_t >, CDenseDistance< ST >, CDenseDistance< float64_t >, CRealDistance, CSparseDistance< ST > , 以及 CSparseDistance< float64_t > 重载.
在文件 Distance.cpp 第 78 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 234 行定义.
bool lhs_equals_rhs | ( | ) |
test whether features on lhs and rhs are the same
在文件 Distance.h 第 309 行定义.
void load | ( | CFile * | loader | ) |
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inherited |
maps all parameters of this instance to the provided file version and loads all parameter data from the file into an array, which is sorted (basically calls load_file_parameter(...) for all parameters and puts all results into a sorted array)
file_version | parameter version of the file |
current_version | version from which mapping begins (you want to use Version::get_version_parameter() for this in most cases) |
file | file to load from |
prefix | prefix for members |
在文件 SGObject.cpp 第 639 行定义.
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inherited |
loads some specified parameters from a file with a specified version The provided parameter info has a version which is recursively mapped until the file parameter version is reached. Note that there may be possibly multiple parameters in the mapping, therefore, a set of TParameter instances is returned
param_info | information of parameter |
file_version | parameter version of the file, must be <= provided parameter version |
file | file to load from |
prefix | prefix for members |
在文件 SGObject.cpp 第 480 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 |
param_version | (optional) a parameter version different to (this is mainly for testing, better do not use) |
在文件 SGObject.cpp 第 311 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 occurres. |
被 CWeightedDegreePositionStringKernel, CKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.
在文件 SGObject.cpp 第 995 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 occurres. |
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 990 行定义.
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inherited |
Takes a set of TParameter instances (base) with a certain version and a set of target parameter infos and recursively maps the base level wise to the current version using CSGObject::migrate(...). The base is replaced. After this call, the base version containing parameters should be of same version/type as the initial target parameter infos. Note for this to work, the migrate methods and all the internal parameter mappings have to match
param_base | set of TParameter instances that are mapped to the provided target parameter infos |
base_version | version of the parameter base |
target_param_infos | set of SGParamInfo instances that specify the target parameter base |
在文件 SGObject.cpp 第 677 行定义.
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protectedvirtualinherited |
creates a new TParameter instance, which contains migrated data from the version that is provided. The provided parameter data base is used for migration, this base is a collection of all parameter data of the previous version. Migration is done FROM the data in param_base TO the provided param info Migration is always one version step. Method has to be implemented in subclasses, if no match is found, base method has to be called.
If there is an element in the param_base which equals the target, a copy of the element is returned. This represents the case when nothing has changed and therefore, the migrate method is not overloaded in a subclass
param_base | set of TParameter instances to use for migration |
target | parameter info for the resulting TParameter |
在文件 SGObject.cpp 第 884 行定义.
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protectedvirtualinherited |
This method prepares everything for a one-to-one parameter migration. One to one here means that only ONE element of the parameter base is needed for the migration (the one with the same name as the target). Data is allocated for the target (in the type as provided in the target SGParamInfo), and a corresponding new TParameter instance is written to replacement. The to_migrate pointer points to the single needed TParameter instance needed for migration. If a name change happened, the old name may be specified by old_name. In addition, the m_delete_data flag of to_migrate is set to true. So if you want to migrate data, the only thing to do after this call is converting the data in the m_parameter fields. If unsure how to use - have a look into an example for this. (base_migration_type_conversion.cpp for example)
param_base | set of TParameter instances to use for migration |
target | parameter info for the resulting TParameter |
replacement | (used as output) here the TParameter instance which is returned by migration is created into |
to_migrate | the only source that is used for migration |
old_name | with this parameter, a name change may be specified |
在文件 SGObject.cpp 第 824 行定义.
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virtualinherited |
在文件 SGObject.cpp 第 200 行定义.
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inherited |
prints all parameter registered for model selection and their type
在文件 SGObject.cpp 第 1042 行定义.
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virtualinherited |
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virtual |
takes all necessary steps if the lhs is removed from distance matrix
在文件 Distance.cpp 第 130 行定义.
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virtual |
remove lhs and rhs from distance
在文件 Distance.cpp 第 119 行定义.
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virtual |
takes all necessary steps if the rhs is removed from distance matrix
takes all necessary steps if the rhs is removed from distance
在文件 Distance.cpp 第 138 行定义.
replace left-hand side features used in distance matrix
make sure to check that your distance can deal with the supplied features (!)
lhs | features of right-hand side |
在文件 Distance.cpp 第 167 行定义.
replace right-hand side features used in distance matrix
make sure to check that your distance can deal with the supplied features (!)
rhs | features of right-hand side |
在文件 Distance.cpp 第 145 行定义.
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staticprotected |
run distance thread
void save | ( | CFile * | writer | ) |
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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 |
param_version | (optional) a parameter version different to (this is mainly for testing, better do not use) |
在文件 SGObject.cpp 第 252 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 occurres. |
被 CKernel 重载.
在文件 SGObject.cpp 第 1005 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 occurres. |
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 1000 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 |
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virtual |
FIXME: precompute matrix should be dropped, handling should be via customdistance
flag | if precompute_matrix |
在文件 Distance.h 第 267 行定义.
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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.h 第 117 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 241 行定义.
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virtualinherited |
Updates the hash of current parameter combination
在文件 SGObject.cpp 第 187 行定义.
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inherited |
io
在文件 SGObject.h 第 473 行定义.
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protected |
feature vectors to occur on the left hand side
在文件 Distance.h 第 342 行定义.
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inherited |
parameters wrt which we can compute gradients
在文件 SGObject.h 第 488 行定义.
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inherited |
Hash of parameter values
在文件 SGObject.h 第 494 行定义.
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inherited |
model selection parameters
在文件 SGObject.h 第 485 行定义.
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inherited |
map for different parameter versions
在文件 SGObject.h 第 491 行定义.
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inherited |
parameters
在文件 SGObject.h 第 482 行定义.
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protected |
number of feature vectors on the left hand side
在文件 Distance.h 第 347 行定义.
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protected |
number of feature vectors on the right hand side
在文件 Distance.h 第 349 行定义.
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inherited |
parallel
在文件 SGObject.h 第 476 行定义.
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protected |
FIXME: precompute matrix should be dropped, handling should be via customdistance
在文件 Distance.h 第 339 行定义.
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protected |
FIXME: precompute matrix should be dropped, handling should be via customdistance
在文件 Distance.h 第 334 行定义.
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protected |
feature vectors to occur on the right hand side
在文件 Distance.h 第 344 行定义.
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inherited |
version
在文件 SGObject.h 第 479 行定义.