C# Class Accord.MachineLearning.MiniBatches

Utility class for preparing mini-batches of data.
Exibir arquivo Open project: Webreaper/Damselfly

Public Methods

Method Description
Create ( Array input, Array output, Array weights = null, int batchSize = 32, int maxIterations, int maxEpochs, ShuffleMethod shuffle = ShuffleMethod.EveryEpoch ) : TOutput>.Batches

Creates a method to partition a given dataset into mini-batches of equal size.

Method Details

Create() public static method

Creates a method to partition a given dataset into mini-batches of equal size.
public static Create ( Array input, Array output, Array weights = null, int batchSize = 32, int maxIterations, int maxEpochs, ShuffleMethod shuffle = ShuffleMethod.EveryEpoch ) : TOutput>.Batches
input Array The input data to be partitioned into mini-batches.
output Array The output data to be partitioned into mini-batches.
weights Array The weights for the data to be partitioned into mini-batches.
batchSize int The size of the batch.
maxIterations int The maximum number of mini-batches that should be created until the method stops.
maxEpochs int The maximum number of epochs that should be run until the method stops.
shuffle ShuffleMethod The data shuffling options.
return TOutput>.Batches