Wealth-Lab Framework
Backtester
BacktestSettings
BarData
BarGlyphBase
BarHistory
BarHistoryCompressor
BarHistorySynchronizer
BatchedInputsOutputs
BrokerAccount
BrokerPosition
ChartPreferences
ChartTooltip
ChildWindow
Configurable
CustomSettingsPanel
DataPanelItem
DataSet
DateRange
DateTime
DrawingObjectLine
Enums
EventDataCollection
EventDataPoint
Handle
HeikinAshi
HistoricalDataPoint
HistoryScale
IBulkUpdateHost
IChart
ICustomSettingsEditor
ICustomSettingsHost
IHost
IMetricsReportHost
IndicatorBase
IOptimizationHost
IOptimizerHost
IStrategyEvolverHost
IStrategyHost
IWLClientHost
LineUtils
ManuallyDrawnObject
MarketDetails
MarketHours
MarketManager
OptimizationResult
OptimizationResultList
OptimizationRunnerBase
OptionChain
OptionGreek
OptionsHelper
OptionSymExp
OptionSynthetic
Parameter
ParameterList
PeakTrough
PeakTroughCalculator
PenBrushFactory
PlotBase
Position
PositionList
PositionSize
PriceGrid
ResultViewerBase
SavedOptimizationResults
SettingsManager
Strategy
StrategyEvolverResult
StrategyEvolverResultList
StrategyEvolverResults
StrategyOptimizer
StrategyRunner
SymbolInfo
TabPage
Tick
TimeSeries
TimeSeriesBase
TimeSeriesCompressor
TimeSeriesSynchronizer
Transaction
TrendLine
UserStrategyBase
VolumeProfile
VolumeProfileItem
WFOOptimizer
WFOResult
WLColor
WLFont
Search Framework:
BatchedInputsOutputs
Namespace: WealthLab.DeepLearning
Parent: Object

This Deep Learning utility class accepts Model training Inputs and Outputs and returns batches of data according to the specified batch size. The batching operation occurs in the class constructors.

Constructors
BatchedInputsOutputs
public BatchedInputsOutputs(List<List<double>> inputs, List<List<double>> outputs, int batchSize, bool enforceSameDimentions = false)
public BatchedInputsOutputs(List<List<double>> inputs, int seqLength)

The first constructor accepts Model inputs and outputs and a desired batchSize. The resulting data batches are accessible via the GetInputBatch and GetOutputBatch methods. If enforceSameDimensions is true, the final batch will not be included if it has fewer than batchSize data points.

The second constructor produces batches for inputs only, with a batch size specified in the seqLength parameter. This version is used in the TorchSharp LSTM Learning Engine.


Members
Count
public int Count

Returns the number of data batches generated.

GetInputBatch
public List<List<double>> GetInputBatch(int n)

Returns the input batch number n.

GetOutputBatch
public List<List<double>> GetOutputBatch(int n)

Returns the output batch number n.