Here is a list of all documented class members with links to the class documentation for each member:
- g -
- gamma
: Parameter
- get()
: Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, PartialResult
, Result
, Input
, Result
, Input
, Result
, DistributedInput< step2Master >
, Input
, PartialResult
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, FamilyBatchBase
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, DistributedInput< step1Local >
, Input
, PartialResult
, Result
, DistributedInput< step2Local >
, DistributedPartialResultStep2
, Input
, PartialResult
, PartialResultBase
, Result
, DistributedInput< step1Local >
, DistributedInput< step2Master >
, DistributedInput< step3Local >
, DistributedInput< step4Local >
, DistributedPartialResultStep1
, DistributedPartialResultStep2
, DistributedPartialResultStep3
, DistributedPartialResultStep4
, Input
, Result
, Argument
, OptionalArgument
, Input
, Result
, Input
, Result
, DistributedStep2LocalPlusPlusInput
, DistributedStep2LocalPlusPlusPartialResult
, DistributedStep2MasterInput
, DistributedStep3MasterPlusPlusInput
, DistributedStep3MasterPlusPlusPartialResult
, DistributedStep4LocalPlusPlusInput
, DistributedStep4LocalPlusPlusPartialResult
, DistributedStep5MasterPlusPlusInput
, DistributedStep5MasterPlusPlusPartialResult
, Input
, PartialResult
, Result
, DistributedStep2MasterInput
, Input
, PartialResult
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, DistributedInput< step2Master >
, Input
, PartialResult
, Result
, Input
, Result
, Input
, Result
, DistributedInput< step >
, Input
, PartialResult
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, DistributedInput
, PartialResult
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Topology
, DistributedInput< step1Local >
, DistributedInput< step2Master >
, DistributedPartialResult
, Input
, PartialResult
, Result
, Topology
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, DistributedInput< correlationDense >
, DistributedInput< svdDense >
, Input
, PartialResult< daal::algorithms::pca::correlationDense >
, PartialResult< daal::algorithms::pca::svdDense >
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, DistributedPartialResult
, DistributedPartialResultStep3
, DistributedStep2Input
, DistributedStep3Input
, Input
, OnlinePartialResult
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, DistributedInput< step2Master >
, Input
, PartialResult
, Result
, Input
, Result
, Input
, Result
, DistributedPartialResult
, DistributedPartialResultStep3
, DistributedStep2Input
, DistributedStep3Input
, Input
, OnlinePartialResult
, Result
, Input
, Result
, Input
, Result
, IdFactory
, DataCollection
, MemoryBlock
, Atomic< dataType >
, Collection< T >
, SharedPtr< T >
, String
- getAdditionalBufferPtr()
: BlockDescriptor< DataType >
- getAlpha()
: Model
- getArchiveAsArray()
: CompressedDataArchive
, DataArchive
, DataArchiveIface
, DecompressedDataArchive
, InputDataArchive
- getArchiveAsArraySharedPtr()
: CompressedDataArchive
, DataArchive
, DataArchiveIface
, DecompressedDataArchive
, InputDataArchive
- getArchiveAsString()
: CompressedDataArchive
, DataArchive
, DataArchiveIface
, DecompressedDataArchive
, InputDataArchive
- getArray()
: AOSNumericTable
, HomogenNumericTable< DataType >
, HomogenTensor< DataType >
, PackedSymmetricMatrix< packedLayout, DataType >
, PackedTriangularMatrix< packedLayout, DataType >
, SOANumericTable
- getArrays()
: CSRNumericTable
- getArraySharedPtr()
: AOSNumericTable
, HomogenNumericTable< DataType >
, HomogenTensor< DataType >
, PackedSymmetricMatrix< packedLayout, DataType >
, PackedTriangularMatrix< packedLayout, DataType >
, SOANumericTable
- getAsSharedPtr()
: OutputDataArchive
- getAuxTable()
: Model
- getBackwardLayer()
: Model
- getBackwardLayers()
: Model
- getBeta()
: Model
- getBias()
: Model
- getBiasesSizes()
: Input
- getBlock()
: BufferView< T >
- getBlockOfColumnValues()
: AOSNumericTable
, CSRNumericTable
, DenseNumericTableIface
, HomogenNumericTable< DataType >
, MergedNumericTable
, PackedSymmetricMatrix< packedLayout, DataType >
, PackedTriangularMatrix< packedLayout, DataType >
, RowMergedNumericTable
, SOANumericTable
- getBlockOfRows()
: AOSNumericTable
, CSRNumericTable
, DenseNumericTableIface
, HomogenNumericTable< DataType >
, MergedNumericTable
, PackedSymmetricMatrix< packedLayout, DataType >
, PackedTriangularMatrix< packedLayout, DataType >
, RowMergedNumericTable
, SOANumericTable
- getBlockPtr()
: BlockDescriptor< DataType >
- getBlockSharedPtr()
: BlockDescriptor< DataType >
- getBlockValuesPtr()
: CSRBlockDescriptor< DataType >
- getBlockValuesSharedPtr()
: CSRBlockDescriptor< DataType >
- getCategoricalDictionary()
: DataSourceFeature
- getClassificationCoefficients()
: Model
- getCollection()
: Status
- getColumnsOffset()
: BlockDescriptor< DataType >
- getCompressedBlocksCollection()
: CompressionStream
- getCompressedDataSize()
: CompressionStream
- getCpuId()
: Environment
- getCSRIndexing()
: CSRNumericTable
- getData()
: StringDataSource< FeatureManager, SummaryStatisticsType >
- getDataArchive()
: InputDataArchive
- getDataLayout()
: NumericTable
, NumericTableIface
- getDataMemoryStatus()
: MergedNumericTable
, NumericTable
, RowMergedNumericTable
, Tensor
- getDataSize()
: CSRBlockDescriptor< DataType >
, CSRNumericTable
, CSRNumericTableIface
- getDecompressedBlocksCollection()
: DecompressionStream
- getDecompressedDataSize()
: DecompressionStream
- getDescription()
: ErrorCollection
, KernelErrorCollection
, Status
- getDictionary()
: DataSource
, DataSourceIface
, NumericTable
, NumericTableIface
- getDictionarySharedPtr()
: DataSource
, DataSourceIface
, NumericTable
, NumericTableIface
- getDimensions()
: Tensor
, TensorLayout
- getDimensionSize()
: Tensor
- getErrors()
: AlgorithmIface
, AlgorithmIfaceImpl
, Model
, Batch
, CompressedDataArchive
, DataArchive
, DataSource
, DecompressedDataArchive
, Dictionary< Feature, SerializationTag >
, InputDataArchive
, NumericTable
, OutputDataArchive
, Tensor
, ErrorCollection
- getException()
: Exception
- getFactors()
: PartialModel
- getFeatureManager()
: CsvDataSource< FeatureManager, SummaryStatisticsType >
- getFeatureName()
: DataSourceFeature
- getFeaturesEqual()
: Dictionary< Feature, SerializationTag >
- getFeatureType()
: NumericTable
, NumericTableIface
- getFirst()
: FeatureIndicesIface
- getFixedDimNums()
: SubtensorDescriptor< DataType >
- getFixedDims()
: SubtensorDescriptor< DataType >
- getForwardLayer()
: Model
- getForwardLayers()
: Model
- getGradient()
: Result
- getGradientSize()
: Input
- getIndexByKey()
: FeatureIdMappingIface
- getIndices()
: PartialModel
, TensorOffsetLayout
- getInitFlag()
: PartialResult
- getInplaceFlag()
: SubtensorDescriptor< DataType >
- getInput()
: Batch< algorithmFPType, method >
, InputDataCollection
, Batch< algorithmFPType, method >
, InputDataCollection
, Batch< algorithmFPType, method >
, Batch
, Batch< algorithmFPType, method >
, KernelIface
, Batch< algorithmFPType, method >
, InputDataCollection
, Batch< algorithmFPType, method >
, InputDataCollection
, Batch< algorithmFPType, method >
, Batch< algorithmFPType, pmethod, tmethod >
, InputDataCollection
, Batch< algorithmFPType, method >
, InputDataCollection
, Batch< algorithmFPType, method >
, Batch
, Batch< algorithmFPType, method >
, InputDataCollection
, Batch
, Batch< algorithmFPType, method >
, InputDataCollection
, Batch< algorithmFPType, method >
- getInputDataCollection()
: Batch
- getInputFeatureDetectedType()
: ConfigIface
- getInstance()
: Environment
- getInterceptFlag()
: Model
- getItemsFactors()
: Model
- getIterations()
: Model
- getKeyByIndex()
: InputAlgorithmsCollection
, KeyValueCollection< T >
- getLast()
: FeatureIndicesIface
- getLayer()
: Model
- getLayerForPrediction()
: Batch< algorithmFPType, method >
, LayerIface
, LayerIfaceImpl
, Batch< algorithmFPType, method >
- getLayerInput()
: Batch< algorithmFPType, method >
, LayerIface
, Batch< algorithmFPType, method >
, LayerIface
, Batch< algorithmFPType, method >
- getLayerParameter()
: Batch< algorithmFPType, method >
, LayerIface
, Batch< algorithmFPType, method >
, LayerIface
, Batch< algorithmFPType, method >
- getLayerResult()
: Batch< algorithmFPType, method >
, LayerIface
, Batch< algorithmFPType, method >
, LayerIface
, Batch< algorithmFPType, method >
- getLayers()
: Model
- getLayout()
: Input
, Result
, Input
, Result
, Input
, Result
, Input
, Result
, SubtensorDescriptor< DataType >
- getLeftSubsetAverage()
: Model
- getLogP()
: Model
- getLogTheta()
: Model
- getMajorVersion()
: DataArchiveIface
, DataArchiveImpl
, OutputDataArchive
- getMaxNumberOfStreams()
: FamilyBatchBase
- getMethod()
: Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Local, algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Distributed< step4Local, algorithmFPType, method >
, AlgorithmIface
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Master, algorithmFPType, method >
, Distributed< step4Local, algorithmFPType, method >
, Distributed< step5Master, algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Batch< algorithmFPType, method >
, Batch< algorithmFPType, defaultDense >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Batch< algorithmFPType, pmethod, tmethod >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, correlationDense >
, Distributed< step2Master, algorithmFPType, svdDense >
, Online< algorithmFPType, correlationDense >
, Online< algorithmFPType, svdDense >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Batch< algorithmFPType, defaultDense >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
- getMinorVersion()
: DataArchiveIface
, DataArchiveImpl
, OutputDataArchive
- getModel()
: ModelBuilder
- getMultiClassClassifierModel()
: Model
- getNBlocks()
: DistributedStep2Input
- getNextLayers()
: ModelImpl
- getNFeatures()
: Model
, PartialModel
, DistributedInput< correlationDense >
, DistributedInput< svdDense >
, Input
, InputIface
- getNumberOfAvailableRows()
: CsvDataSource< FeatureManager, SummaryStatisticsType >
, DataSourceIface
, KDBDataSource< _featureManager, summaryStatisticsType >
, ODBCDataSource< FeatureManager, SummaryStatisticsType >
- getNumberOfBetas()
: Model
- getNumberOfBlocks()
: DistributedInput< step3Local >
- getNumberOfCategories()
: NumericTable
, NumericTableIface
- getNumberOfCoefficients()
: Input
- getNumberOfColumns()
: DistributedInput< step >
, Input
, PartialResult
, DistributedStep2Input
, OnlinePartialResult
, DistributedStep2Input
, BlockDescriptor< DataType >
, CSRBlockDescriptor< DataType >
, DataSource
, DataSourceIface
, NumericTable
, ContextIface
- getNumberOfDependentVariables()
: Input
, DistributedInput< step2Master >
, Input
, InputIface
, PartialResult
, DistributedInput< step2Master >
, Input
, InputIface
, PartialResult
- getNumberOfDimensions()
: Tensor
- getNumberOfDims()
: SubtensorDescriptor< DataType >
- getNumberOfFeatures()
: Model
, DistributedInput< step2Master >
, Input
, PartialResult
, Model
, Input
, Model
, DistributedStep2MasterInput
, Input
, PartialResult
, DistributedStep2MasterInput
, Input
, PartialResult
, DistributedInput< step2Master >
, Input
, InputIface
, PartialResult
, Model
, PartialModel
, PartialResult
, Model
, DistributedInput< step2Master >
, Input
, InputIface
, PartialResult
, Model
, FeatureIdMappingIface
, Dictionary< Feature, SerializationTag >
- getNumberOfInputFeatures()
: ConfigIface
- getNumberOfItems()
: DistributedInput< step1Local >
, Input
, InputIface
, Input
- getNumberOfResponses()
: Model
- getNumberOfRows()
: Input
, InputIface
, DistributedInput< step4Local >
, OnlinePartialResult
, BlockDescriptor< DataType >
, CSRBlockDescriptor< DataType >
, NumericTable
- getNumberOfStreams()
: FamilyBatchBase
- getNumberOfThreads()
: Environment
- getNumberOfTokens()
: ContextIface
- getNumberOfTrees()
: Model
- getNumberOfTwoClassClassifierModels()
: Model
- getNumberOfUsers()
: DistributedInput< step1Local >
, Input
, InputIface
, Input
- getNumberOfWeakLearners()
: Model
- getNumericTable()
: DataSource
, DataSourceIface
- getNumericTableNumberOfColumns()
: CsvDataSource< FeatureManager, SummaryStatisticsType >
, CSVFeatureManager
, DataSource
, DataSourceIface
- getOffset()
: DistributedInput< step3Local >
- getOffsets()
: TensorOffsetLayout
- getOutBlockIndices()
: DistributedInput< step3Local >
- getOutputBuffer()
: ContextIface
- getPackedArray()
: PackedArrayNumericTableIface
, PackedSymmetricMatrix< packedLayout, DataType >
, PackedTriangularMatrix< packedLayout, DataType >
- getParameter()
: KernelIface
, Batch< algorithmFPType, method >
, InitializerIface
, Batch< algorithmFPType, method >
, BatchImpl
, Batch< algorithmFPType, method >
, Batch
, Batch< algorithmFPType, method >
- getPartialResult()
: Online
, DistributedIface< step2Master >
, OnlineImpl
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Local, algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Distributed< step4Local, algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Master, algorithmFPType, method >
, Distributed< step4Local, algorithmFPType, method >
, Distributed< step5Master, algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, correlationDense >
, Distributed< step2Master, algorithmFPType, svdDense >
, DistributedInput< correlationDense >
, DistributedInput< svdDense >
, Online< algorithmFPType, correlationDense >
, Online< algorithmFPType, svdDense >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Online< algorithmFPType, method >
, Online
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Online< algorithmFPType, method >
- getPredictionModel()
: Model
- getPtr()
: DataBlock
, DataBlockIface
, SubtensorDescriptor< DataType >
- getQTYTable()
: ModelQR
- getRangeDimIdx()
: SubtensorDescriptor< DataType >
- getRangeDimNum()
: SubtensorDescriptor< DataType >
- getRawFeatureIndices()
: FeatureIndicesIface
- getRawValue()
: ContextIface
- getResult()
: ResultCollection
, Batch< algorithmFPType, method >
, ResultCollection
, Batch< algorithmFPType, method >
, Batch
, Batch< algorithmFPType, method >
, Batch
, Online
, Batch< algorithmFPType, method >
, BatchImpl
, DistributedIface< step2Master >
, OnlineImpl
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Batch< algorithmFPType, method >
, AlgorithmContainerImpl< mode >
, AlgorithmContainerImpl< batch >
, Batch< algorithmFPType, method >
, KernelIface
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step5Master, algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Batch< algorithmFPType, method >
, Batch
, Online
, Batch< algorithmFPType, defaultDense >
, Batch< algorithmFPType, method >
, ResultCollection
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, ResultCollection
, Batch< algorithmFPType, method >
, BatchImpl
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, ResultCollection
, Batch< algorithmFPType, method >
, ResultCollection
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step1Local, algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Batch< algorithmFPType, method >
, BatchImpl
, Batch
, Distributed< step2Master, algorithmFPType, correlationDense >
, Distributed< step2Master, algorithmFPType, svdDense >
, Online< algorithmFPType, correlationDense >
, Online< algorithmFPType, svdDense >
, Batch< algorithmFPType, method >
, ResultCollection
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch
, Batch< algorithmFPType, method >
, Batch
, Online
, Batch< algorithmFPType, defaultDense >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Online< algorithmFPType, method >
, Batch< algorithmFPType, method >
, Distributed< step2Master, algorithmFPType, method >
, Distributed< step3Local, algorithmFPType, method >
, Online< algorithmFPType, method >
, ResultCollection
, Batch< algorithmFPType, method >
, Batch
- getResultCollection()
: Batch
- getRightSubsetAverage()
: Model
- getRowsOffset()
: BlockDescriptor< DataType >
- getRTable()
: ModelQR
- getRWFlag()
: BlockDescriptor< DataType >
, SubtensorDescriptor< DataType >
- getSampleTensor()
: HomogenTensor< DataType >
, TensorIface
- getSerializationTag()
: Model
, PartialResult
, Result
, DataSourceFeature
, Dictionary< Feature, SerializationTag >
, NumericTableFeature
, SerializationIface
, TensorOffsetLayout
- getSharedPtr()
: DataBlock
, DataBlockIface
, SubtensorDescriptor< DataType >
- getSize()
: DataBlock
, DataBlockIface
, SubtensorDescriptor< DataType >
, Tensor
- getSizeOfArchive()
: CompressedDataArchive
, DataArchive
, DataArchiveIface
, DecompressedDataArchive
, InputDataArchive
- getSolverOptionalArgument()
: Model
- getSolverOptionalArgumentCollection()
: Model
- getSparseBlock()
: CSRNumericTable
, CSRNumericTableIface
- getSplitFeature()
: Model
- getSplitValue()
: Model
- getStartPtr()
: SharedPtr< T >
- getStatus()
: ModelBuilder
, DataSourceIface
, FileDataSource< FeatureManager, SummaryStatisticsType >
, KDBDataSource< _featureManager, summaryStatisticsType >
, ODBCDataSource< FeatureManager, SummaryStatisticsType >
, StringDataSource< FeatureManager, SummaryStatisticsType >
- getStorage()
: Argument
- getSubtensor()
: DenseTensorIface
, HomogenTensor< DataType >
- getSubtensorDimSizes()
: SubtensorDescriptor< DataType >
- getSubtensorEx()
: DenseTensorIface
, HomogenTensor< DataType >
- getSupportIndices()
: Model
- getSupportVectors()
: Model
- getTag()
: AbstractCreator
, Creator< Derived >
- getTensorLayout()
: HomogenTensor< DataType >
- getToken()
: ContextIface
- getTokenAs()
: Context
- getTwoClassClassifierModel()
: Model
- getTwoClassClassifierModels()
: Model
- getUpdateVersion()
: DataArchiveIface
, DataArchiveImpl
, OutputDataArchive
- getUsedOutputDataBlockSize()
: Compression
, CompressionIface
- getUsersFactors()
: Model
- getValue()
: Result
, NumericTable
- getValueByIndex()
: KeyValueCollection< T >
- getValueCollectionSize()
: Result
- getValueSize()
: Result
- getWeakLearnerModel()
: Model
- getWeightsAndBiases()
: ModelImpl
, Model
- getWeightsAndBiasesDerivatives()
: Model
- getWeightsAndBiasesStorageStatus()
: Model
- getWeightsSizes()
: Input
- getXTXTable()
: ModelNormEq
- getXTYTable()
: ModelNormEq
- groupDimension
: Parameter
- gzHeader
: ZlibCompressionParameter