Flux re-exports the DataLoader type and utility functions for working with
data from MLUtils.
The DataLoader can be used to create mini-batches of data, in the format [train!](@ref Flux.train!) expects.
MLUtils.DataLoader
The utility functions are meant to be used while working with data; these functions help create inputs for your models or batch your dataset.
MLUtils.batch
MLUtils.batchsize
MLUtils.batchseq
MLUtils.BatchView
MLUtils.chunk
MLUtils.eachobs
MLUtils.fill_like
MLUtils.filterobs
MLUtils.flatten
MLUtils.getobs
MLUtils.getobs!
MLUtils.joinobs
MLUtils.group_counts
MLUtils.group_indices
MLUtils.groupobs
MLUtils.kfolds
MLUtils.leavepout
MLUtils.mapobs
MLUtils.numobs
MLUtils.normalise
MLUtils.obsview
MLUtils.ObsView
MLUtils.ones_like
MLUtils.oversample
MLUtils.randobs
MLUtils.rand_like
MLUtils.randn_like
MLUtils.rpad_constant
MLUtils.shuffleobs
MLUtils.splitobs
MLUtils.unbatch
MLUtils.undersample
MLUtils.unsqueeze
MLUtils.unstack
MLUtils.zeros_like