`BatchIterators.BatchIterator`

— Type`BatchIterator(X; batchsize = nothing, limit=size(X,2))`

Wrapper allowing to iterate over batches of `batchsize`

columns of `X`

. `X`

can be of any type supporting `size`

and 2d indexing. When `limit`

is provided, iteration is restricted to the columns of `X[:, 1:limit]`

.

`BatchIterators.centered_batch_iterator`

— Method`centered_batch_iterator(X; kwargs...)`

Similar to BatchIterator, but performs first one pass over the data to compute the mean, and centers the batches.

`BatchIterators.choose_batchsize`

— Method`choose_batchsize(d, n; maxmemGB = 1.0, maxbatchsize = 2^14, sizeoneB = d*sizeof(Float64))`

Computes the size (nb. of columns) of a batch, so that each column of the batch can be converted to a vector of size `sizeoneB`

(in bytes) with a total memory constrained by `maxmemGB`

(gigabytes).