MiniBatchesCreateTInput, TOutput Method

public static Batches<TInput, TOutput> Create<TInput, TOutput>(
	TInput[] input,
	TOutput[] output,
	double[] weights = null,
	int batchSize = 32,
	int maxIterations = 0,
	int maxEpochs = 0,
	ShuffleMethod shuffle = ShuffleMethod.EveryEpoch
)

Public Shared Function Create(Of TInput, TOutput) ( 
	input As TInput(),
	output As TOutput(),
	Optional weights As Double() = Nothing,
	Optional batchSize As Integer = 32,
	Optional maxIterations As Integer = 0,
	Optional maxEpochs As Integer = 0,
	Optional shuffle As ShuffleMethod = ShuffleMethod.EveryEpoch
) As Batches(Of TInput, TOutput)

Parameters

input

Type: TInput
The input data to be partitioned into mini-batches.

output

Type: TOutput
The output data to be partitioned into mini-batches.

weights (Optional)

Type: SystemDouble
The weights for the data to be partitioned into mini-batches.

batchSize (Optional)

Type: SystemInt32
The size of the batch.

maxIterations (Optional)

Type: SystemInt32
The maximum number of mini-batches that should be created until the method stops.

maxEpochs (Optional)

Type: SystemInt32
The maximum number of epochs that should be run until the method stops.

shuffle (Optional)

Type: Accord.MachineLearningShuffleMethod
The data shuffling options.

Type Parameters

TInput

The type of the input data.

TOutput

The type of the output output.

Return Value

Reference