SHOGUN
v3.0.0
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Abstract base class for all splitting types. Takes a CLabels instance and generates a desired number of subsets which are being accessed by their indices via the method generate_subset_indices(...).
When being extended, the abstract method build_subsets() has to be implemented. build_subsets implementations HAVE TO call reset_subsets before, in order to allow calling them from the outside. Also they HAVE to set the m_is_filled flag to true (otherwise there will be an error when accessing the index sets)
Implementations have to (re)fill the CDynamicArray<index_t> elements in the (inherited) m_subset_indices variable. Note that these elements are already created by the constructor of this class - they just have to be filled. Every element represents one index subset.
Calling the method agains means that the indices are rebuilt.
Definition at line 40 of file SplittingStrategy.h.
Public Attributes | |
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 Member Functions | |
void | reset_subsets () |
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) |
Protected Attributes | |
CLabels * | m_labels |
CDynamicObjectArray * | m_subset_indices |
index_t | m_num_subsets |
bool | m_is_filled |
constructor
Definition at line 16 of file SplittingStrategy.cpp.
CSplittingStrategy | ( | CLabels * | labels, |
index_t | num_subsets | ||
) |
constructor
labels | labels to be (possibly) used for splitting |
num_subsets | desired number of subsets, the labels are split into |
Definition at line 21 of file SplittingStrategy.cpp.
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virtual |
destructor
Definition at line 70 of file SplittingStrategy.cpp.
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inherited |
Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.
dict | dictionary of parameters to be built. |
Definition at line 1196 of file SGObject.cpp.
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pure virtual |
Abstract method. Has to refill the elements of the m_subset_indices variable with concrete indices. Note that CDynamicArray<index_t> instances for every subset are created in the constructor of this class - they just have to be filled.
Implemented in CStratifiedCrossValidationSplitting, and CCrossValidationSplitting.
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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.
Definition at line 1313 of file SGObject.cpp.
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virtualinherited |
A deep copy. All the instance variables will also be copied.
Definition at line 160 of file SGObject.h.
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) |
Definition at line 1217 of file SGObject.cpp.
generates a newly created SGVector<index_t> with indices of the subset with the desired index
subset_idx | subset index of the to be generated vector indices |
Error if there are no index sets
Definition at line 76 of file SplittingStrategy.cpp.
generates a newly created SGVector<index_t> with inverse indices of the subset with the desired index. inverse here means all other indices.
subset_idx | subset index of the to be generated inverse indices |
Error if there are no index sets
Definition at line 100 of file SplittingStrategy.cpp.
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inherited |
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inherited |
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inherited |
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inherited |
Definition at line 1100 of file SGObject.cpp.
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inherited |
Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
Definition at line 1124 of file SGObject.cpp.
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inherited |
Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
Definition at line 1137 of file SGObject.cpp.
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pure virtualinherited |
Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.
Implemented in 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 >, CDynamicArray< uint64_t >, CMultitaskKernelTreeNormalizer, CDynProg, CList, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CFile, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CStatistics, CSpecificityMeasure, CLibSVMFile, CPrecisionMeasure, CPlif, CRecallMeasure, CDynamicObjectArray, CCrossCorrelationMeasure, CCSVFile, CF1Measure, CLaRank, CBinaryFile, CWRACCMeasure, CTaxonomy, CStreamingSparseFeatures< T >, CBALMeasure, CBitString, CStreamingVwFeatures, CMultitaskKernelPlifNormalizer, CErrorRateMeasure, CWDSVMOcas, CMachine, CAccuracyMeasure, CStreamingFile, CRandom, CMultitaskKernelMaskNormalizer, CMemoryMappedFile< T >, CLMNNStatistics, CMemoryMappedFile< ST >, CMKL, CAlphabet, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CCombinedDotFeatures, CGUIStructure, CCache< T >, CCache< SGSparseVectorEntry< ST > >, CCache< uint32_t >, CCache< ST >, CCache< SGSparseVectorEntry< float64_t > >, CCache< float64_t >, CCache< uint8_t >, CCache< KERNELCACHE_ELEM >, CCache< char >, CCache< uint16_t >, CCache< SGSparseVectorEntry< T > >, CLinearTimeMMD, CMultitaskKernelMaskPairNormalizer, CSVM, CMultitaskKernelNormalizer, CGUIClassifier, CGUIFeatures, CHashedWDFeaturesTransposed, CSimpleFile< T >, CGMM, CParameterCombination, CBinaryStream< T >, CStructuredModel, CStreamingStringFeatures< T >, CMulticlassSVM, CStateModel, CLinearHMM, CGaussian, COnlineLinearMachine, CRandomKitchenSinksDotFeatures, CVwParser, CPluginEstimate, CVowpalWabbit, CBinnedDotFeatures, CSVMOcas, CSVRLight, CHashedWDFeatures, CPlifMatrix, CCrossValidation, CImplicitWeightedSpecFeatures, CSparseMatrixOperator< T >, CCombinedFeatures, CSNPFeatures, CIOBuffer, CWDFeatures, CCrossValidationMulticlassStorage, CHashedDenseFeatures< ST >, CLeastAngleRegression, CQuadraticTimeMMD, CTwoStateModel, CGUIKernel, CHMSVMModel, CLossFunction, CKNN, CRandomFourierGaussPreproc, CHashedSparseFeatures< ST >, CMKLMulticlass, CExplicitSpecFeatures, CLibLinearMTL, CModelSelectionParameters, CGUIHMM, CHashedDocDotFeatures, CJacobiEllipticFunctions, COnlineSVMSGD, CPositionalPWM, CZeroMeanCenterKernelNormalizer, CSparsePolyFeatures, CCplex, CSqrtDiagKernelNormalizer, CScatterKernelNormalizer, CRationalApproximation, CStochasticProximityEmbedding, CLatentModel, CGMNPLib, CDixonQTestRejectionStrategy, CLibLinear, CMulticlassMachine, CTableFactorType, CSVMSGD, CVwCacheReader, CLBPPyrDotFeatures, CRidgeKernelNormalizer, CHSIC, CLinearMachine, CTestStatistic, CTime, CSGDQN, CSNPStringKernel, CMatrixFeatures< ST >, CWeightedCommWordStringKernel, CHingeLoss, CQPBSVMLib, CSerializableAsciiFile, CSquaredLoss, CCustomKernel, CFactor, CPlifArray, CStreamingVwFile, CMulticlassLabels, CHash, CStreamingHashedDocDotFeatures, CQDA, CKernelRidgeRegression, CCustomDistance, CWeightedDegreeStringKernel, CKMeans, CBaggingMachine, CTOPFeatures, CDiceKernelNormalizer, CMultitaskKernelMklNormalizer, CTask, CVwEnvironment, CBinaryLabels, CMAPInferImpl, CDomainAdaptationSVMLinear, CLDA, CMCLDA, CWeightedDegreePositionStringKernel, CBesselKernel, CTanimotoKernelNormalizer, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CAvgDiagKernelNormalizer, CVarianceKernelNormalizer, CCircularBuffer, CKernelTwoSampleTestStatistic, COperatorFunction< T >, COperatorFunction< float64_t >, CHierarchical, CFKFeatures, CSpectrumMismatchRBFKernel, CMulticlassModel, CCombinedKernel, CSparseSpatialSampleStringKernel, CVwRegressor, CFactorGraphLabels, CDotKernel, CGaussianKernel, CCommWordStringKernel, CSet< T >, CDenseMatrixOperator< T >, CSequenceLabels, CDenseMatrixOperator< float64_t >, CTwoDistributionsTestStatistic, CNode, CContingencyTableEvaluation, CPolyFeatures, CStreamingAsciiFile, CLibSVR, COnlineLibLinear, CChi2Kernel, CPyramidChi2, CSignal, CIntegration, CLPBoost, CSalzbergWordStringKernel, CStructuredLabels, CSquaredHingeLoss, CPCA, CNewtonSVM, CHashedDocConverter, CCompressor, CIterativeLinearSolver< T, ST >, CIterativeLinearSolver< float64_t, float64_t >, CIterativeLinearSolver< complex128_t, float64_t >, CIterativeLinearSolver< T, T >, CSVMLin, CVwLearner, CLocallyLinearEmbedding, CDistanceKernel, CCommUlongStringKernel, CScatterSVM, CHomogeneousKernelMap, CVwNativeCacheReader, CHistogram, CGaussianShiftKernel, CMahalanobisDistance, CAttributeFeatures, CRandomFourierDotFeatures, CFirstElementKernelNormalizer, CGCArray< T >, CMap< K, T >, CLogLoss, CLogLossMargin, CSmoothHingeLoss, CMap< TParameter *, CSGObject * >, CMap< TParameter *, SGVector< float64_t > >, CGNPPLib, CLatentLabels, CLinearRidgeRegression, CSphericalKernel, CSpectrumRBFKernel, CIndexBlockTree, CSegmentLoss, CDomainAdaptationSVM, CKernelDistance, CEigenSolver, CMulticlassSOLabels, CLPM, CCircularKernel, CPolyMatchStringKernel, CSimpleLocalityImprovedStringKernel, CGaussianDistribution, CStreamingFileFromFeatures, CStreamingVwCacheFile, COligoStringKernel, CLanczosEigenSolver, CMultidimensionalScaling, CDataGenerator, CANOVAKernel, CConstKernel, CDiagKernel, CMulticlassMultipleOutputLabels, CKernelPCA, CMultitaskClusteredLogisticRegression, CEmbeddingConverter, CEuclideanDistance, CWeightedMajorityVote, CMulticlassOVREvaluation, CPolyKernel, CPolyMatchWordStringKernel, 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, CKernelIndependenceTestStatistic, MKLMulticlassGradient, CMinkowskiMetric, CExponentialKernel, CAttenuatedEuclideanDistance, CParser, CDistantSegmentsKernel, CKernelMachine, CInverseMultiQuadricKernel, CLocalityImprovedStringKernel, CMatchWordStringKernel, CRegulatoryModulesStringKernel, CFFDiag, CJADiag, CJADiagOrth, CAUCKernel, CHistogramIntersectionKernel, CSigmoidKernel, CJediDiag, CQDiag, CUWedge, CMMDKernelSelectionCombOpt, CMultiquadricKernel, CExactInferenceMethod, CLocalAlignmentStringKernel, CLogRationalApproximationIndividual, CICAConverter, CMulticlassAccuracy, CGaussianARDKernel, CGaussianShortRealKernel, CStructuredOutputMachine, CMatrixOperator< T >, CMMDKernelSelectionCombMaxL2, CMatrixOperator< float64_t >, CPerceptron, CSplineKernel, CLinearOperator< T >, CCGMShiftedFamilySolver, CIterativeShiftedLinearFamilySolver< T, ST >, CLogRationalApproximationCGM, CDimensionReductionPreprocessor, CLinearOperator< float64_t >, CLinearOperator< complex128_t >, CIterativeShiftedLinearFamilySolver< float64_t, complex128_t >, CGHMM, CHistogramWordStringKernel, CDelimiterTokenizer, CLogDetEstimator, CTaskTree, CProbabilityDistribution, CFITCInferenceMethod, CLaplacianInferenceMethod, CMultitaskL12LogisticRegression, CMultitaskROCEvaluation, CGUIConverter, CCanberraMetric, CCosineDistance, CManhattanMetric, CJensenShannonKernel, CLinearKernel, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CIdentityKernelNormalizer, CLinearStringKernel, CDecompressString< ST >, CDualLibQPBMSOSVM, CGUILabels, CSOBI, CKernelLocallyLinearEmbedding, CLabelsFactory, CMMDKernelSelection, CMMDKernelSelectionComb, CMMDKernelSelectionMedian, MKLMulticlassGLPK, CFFSep, CChiSquareDistance, CHammingWordDistance, CJobResultAggregator, CNGramTokenizer, CLinearStructuredOutputMachine, CRandomSearchModelSelection, CMulticlassOneVsOneStrategy, CLeastSquaresRegression, CAveragedPerceptron, CVwNativeCacheWriter, CJediSep, CUWedgeSep, CSparseDistance< ST >, CCrossValidationResult, CLatentFeatures, CDenseMatrixExactLog, CLibLinearRegression, CMMDKernelSelectionOpt, CGUIPluginEstimate, CSparseDistance< float64_t >, CVwAdaptiveLearner, CBrayCurtisDistance, CChebyshewMetric, CFactorGraphFeatures, CLineReader, CRegressionLabels, MKLMulticlassOptimizationBase, CVwNonAdaptiveLearner, CSparseEuclideanDistance, CRealFileFeatures, CLinearARDKernel, CIndependentJob, CPNorm, CStringDistance< ST >, CEPInferenceMethod, CMulticlassStrategy, CRescaleFeatures, CMAPInference, CStringDistance< uint16_t >, CWeightedDegreeRBFKernel, CDirectLinearSolverComplex, CIndividualJobResultAggregator, CECOCRandomSparseEncoder, CLogPlusOne, CGradientCriterion, CScalarResult< T >, CRationalApproximationCGMJob, CGMNPSVM, CNormOne, CMultitaskLogisticRegression, CFastICA, CFactorGraphObservation, CLinearLatentMachine, CRationalApproximationIndividualJob, CMultitaskTraceLogisticRegression, CGUIDistance, CLibSVM, CStringFileFeatures< ST >, CLatentSVM, CLinearMulticlassMachine, CConjugateOrthogonalCGSolver, CSumOne, CJade, CCanberraWordDistance, CManhattanWordDistance, CCrossValidationOutput, CGradientModelSelection, CECOCDiscriminantEncoder, CSortWordString, CTaskGroup, CGUIPreprocessor, CFeatureBlockLogisticRegression, CStudentsTLikelihood, CDenseExactLogJob, CPruneVarSubMean, CIntronList, CStructuredAccuracy, CStoreVectorAggregator< T >, CLMNN, CMulticlassLibLinear, CSortUlongString, CSequence, CResultSet, CStoreVectorAggregator< complex128_t >, CIsomap, CMeanSquaredError, CMeanSquaredLogError, CLatentSOSVM, CIndependentComputationEngine, CIndexBlock, CThresholdRejectionStrategy, CRealNumber, CSVMLightOneClass, CLinearLocalTangentSpaceAlignment, CNeighborhoodPreservingEmbedding, CMeanAbsoluteError, CDummyFeatures, CVectorResult< T >, CListElement, CCCSOSVM, CHessianLocallyLinearEmbedding, CDenseDistance< ST >, CRealDistance, CStoreScalarAggregator< T >, CIndexBlockGroup, CConjugateGradientSolver, CSparsePreprocessor< ST >, CMMDKernelSelectionMax, CMultitaskLeastSquaresRegression, CDenseDistance< float64_t >, CLocalTangentSpaceAlignment, CClusteringAccuracy, CClusteringMutualInformation, CMeanShiftDataGenerator, CGaussianLikelihood, CKernelStructuredOutputMachine, CMultitaskLinearMachine, CCustomMahalanobisDistance, CCombinationRule, CGaussianProcessMachine, CStringPreprocessor< ST >, CStringPreprocessor< uint16_t >, CStringPreprocessor< uint64_t >, CSubsetStack, CDirectEigenSolver, CLinearSolver< T, ST >, CGridSearchModelSelection, CVwConditionalProbabilityTree, CLinearSolver< float64_t, float64_t >, CLinearSolver< complex128_t, float64_t >, CLinearSolver< T, T >, CLocalityPreservingProjections, CMajorityVote, CFactorGraphModel, CMeanRule, CGradientEvaluation, CSerialComputationEngine, CKernelMulticlassMachine, CNormalSampler, CMulticlassLibSVM, CMKLRegression, CFactorDataSource, CFactorGraph, CDomainAdaptationMulticlassLibLinear, CGaussianBlobsDataGenerator, CECOCEncoder, CMulticlassTreeGuidedLogisticRegression, CKernelMeanMatching, CTaskRelation, CROCEvaluation, CSubset, CIndexBlockRelation, CDirectSparseLinearSolver, CMulticlassLogisticRegression, CBalancedConditionalProbabilityTree, CTreeMachineNode< T >, CFactorType, CTreeMachineNode< ConditionalProbabilityTreeNodeData >, CTreeMachineNode< RelaxedTreeNodeData >, CTreeMachineNode< VwConditionalProbabilityTreeNodeData >, CMKLClassification, CMKLOneClass, CGPBTSVM, CLibSVMOneClass, CGradientResult, CECOCIHDDecoder, CConditionalProbabilityTree, CRelaxedTree, CGNPPSVM, CMPDSVM, CProbitLikelihood, CECOCRandomDenseEncoder, CMulticlassOCAS, CShareBoost, CTreeMachine< T >, CTreeMachine< ConditionalProbabilityTreeNodeData >, CTreeMachine< RelaxedTreeNodeData >, CTreeMachine< VwConditionalProbabilityTreeNodeData >, 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, CECOCSimpleDecoder, SerializableAsciiReader00, CBaseMulticlassMachine, CECOCLLBDecoder, CStructuredData, CECOCHDDecoder, CECOCOVOEncoder, CECOCOVREncoder, CRandomConditionalProbabilityTree, and CRejectionStrategy.
index_t get_num_subsets | ( | ) | const |
Definition at line 128 of file SplittingStrategy.cpp.
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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 |
Definition at line 268 of file SGObject.cpp.
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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 |
Definition at line 673 of file SGObject.cpp.
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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 |
Definition at line 514 of file SGObject.cpp.
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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) |
Definition at line 345 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.
ShogunException | Will be thrown if an error occurres. |
Reimplemented in CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel, and CExponentialKernel.
Definition at line 1029 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.
ShogunException | Will be thrown if an error occurres. |
Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CDynamicArray< uint64_t >, and CDynamicObjectArray.
Definition at line 1024 of file SGObject.cpp.
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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 |
Definition at line 711 of file SGObject.cpp.
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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 |
Definition at line 918 of file SGObject.cpp.
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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 |
Definition at line 858 of file SGObject.cpp.
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inherited |
prints all parameter registered for model selection and their type
Definition at line 1076 of file SGObject.cpp.
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virtualinherited |
prints registered parameters out
prefix | prefix for members |
Definition at line 280 of file SGObject.cpp.
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protected |
resets the current subsets, meaning that all the arrays of indices will be empty again. To be called before build_subsets.
Definition at line 40 of file SplittingStrategy.cpp.
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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) |
Definition at line 286 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.
ShogunException | Will be thrown if an error occurres. |
Reimplemented in CKernel.
Definition at line 1039 of file SGObject.cpp.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.
ShogunException | Will be thrown if an error occurres. |
Reimplemented in CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CDynamicArray< uint64_t >, and CDynamicObjectArray.
Definition at line 1034 of file SGObject.cpp.
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inherited |
set generic type to T
Definition at line 41 of file SGObject.cpp.
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inherited |
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inherited |
set the parallel object
parallel | parallel object to use |
Definition at line 220 of file SGObject.cpp.
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inherited |
set the version object
version | version object to use |
Definition at line 255 of file SGObject.cpp.
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virtualinherited |
A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
Reimplemented in CGaussianKernel.
Definition at line 151 of file SGObject.h.
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inherited |
unset generic type
this has to be called in classes specializing a template class
Definition at line 275 of file SGObject.cpp.
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virtualinherited |
Updates the hash of current parameter combination.
Definition at line 227 of file SGObject.cpp.
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inherited |
io
Definition at line 514 of file SGObject.h.
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parameters wrt which we can compute gradients
Definition at line 529 of file SGObject.h.
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inherited |
Hash of parameter values
Definition at line 535 of file SGObject.h.
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protected |
flag to check whether there is a set of index sets stored. If not, call build_subsets()
Definition at line 110 of file SplittingStrategy.h.
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protected |
labels
Definition at line 100 of file SplittingStrategy.h.
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inherited |
model selection parameters
Definition at line 526 of file SGObject.h.
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protected |
additional variable to store number of index subsets
Definition at line 106 of file SplittingStrategy.h.
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inherited |
map for different parameter versions
Definition at line 532 of file SGObject.h.
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inherited |
parameters
Definition at line 523 of file SGObject.h.
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protected |
subset indices
Definition at line 103 of file SplittingStrategy.h.
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inherited |
parallel
Definition at line 517 of file SGObject.h.
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inherited |
version
Definition at line 520 of file SGObject.h.