- d -
- data
: InputId
, NumericTableInputId
, InputId
, NumericTableInputId
, InputId
, NumericTableInputId
, TrainingInputId
, InitInputId
, InputId
, NumericTableInputId
, InputId
, InitInputId
, NumericTableInputId
, InitInputId
, InputId
, PredictionInputId
, TrainingInputId
, PredictionInputId
, InputId
, ForwardInputId
, LossForwardInputId
, PredictionTensorInputId
, TrainingInputId
, InputId
, TransformInputId
, InputId
, PredictionInputId
, TrainingInputId
, InputId
- dataForPruning
: TrainingInputId
- dataForTransform
: TransformDataInputId
- defaultDense
: PredictionMethod
, TrainingMethod
, Method
, PredictionMethod
, TrainingMethod
, Method
, BinaryConfusionMatrixMethod
, MultiClassConfusionMatrixMethod
, Method
, PredictionMethod
, TrainingMethod
, PredictionMethod
, TrainingMethod
, PredictionMethod
, TrainingMethod
, PredictionMethod
, TrainingMethod
, Method
, InitMethod
, Method
, PredictionMethod
, TrainingMethod
, PredictionMethod
, TrainingMethod
, RatingsMethod
, InitMethod
, TrainingMethod
, PredictionMethod
, TrainingMethod
, Method
, InitMethod
, Method
, PredictionMethod
, GroupOfBetasMethod
, SingleBetaMethod
, TrainingMethod
, PredictionMethod
, TrainingMethod
, PredictionMethod
, Method
, PredictionMethod
, TrainingMethod
, Method
, GaussianMethod
, TruncatedGaussianMethod
, UniformMethod
, XavierMethod
, AbsMethod
, AveragePooling1dMethod
, AveragePooling2dMethod
, AveragePooling3dMethod
, BatchNormalizationMethod
, ConcatMethod
, Convolution2dMethod
, DropoutMethod
, EltwiseSumMethod
, EluMethod
, FullyConnectedMethod
, LcnMethod
, LocallyConnected2dMethod
, LogisticMethod
, LogisticCrossMethod
, LrnMethod
, MaximumPooling1dMethod
, MaximumPooling2dMethod
, MaximumPooling3dMethod
, PreluMethod
, ReluMethod
, ReshapeMethod
, SmoothreluMethod
, SoftmaxMethod
, SoftmaxCrossMethod
, SpatialAveragePooling2dMethod
, SpatialMaximumPooling2dMethod
, SpatialStochasticPooling2dMethod
, SplitMethod
, StochasticPooling2dMethod
, TanhMethod
, TransposedConv2dMethod
, PredictionMethod
, TrainingMethod
, Method
, ExplainedVarianceMethod
, TransformMethod
, Method
, PredictionMethod
, TrainingMethod
, Method
, PredictionMethod
, TrainingMethod
, Method
, PredictionMethod
- DefaultLevel
: CompressionLevel
- defaultSplit
: SplitMethod
- dependentVariable
: InputId
, TrainingInputId
- dependentVariables
: TrainingInputId
, InputId
- dependentVariablesForPruning
: TrainingInputId
- determinationCoeff
: GroupOfBetasResultId
- deterministicCSR
: InitMethod
- deterministicDense
: InitMethod
- diagonal
: CovarianceStorageId
- distributed
: ComputeMode
- DoAllocate
: NumericTable.AllocationFlag
, Tensor.AllocationFlag
- DoAllocateNumericTable
: DataSource.NumericTableAllocationFlag
- DoDictionaryFromContext
: DataSource.DictionaryCreationFlag
- DoNotAllocate
: NumericTable.AllocationFlag
, Tensor.AllocationFlag
- doNotUse
: DataUseInModelId
- doUse
: DataUseInModelId
For more complete information about compiler optimizations, see our Optimization Notice.