Class | Description |
---|---|
AsyncDataSetIterator |
Async prefetching iterator wrapper for DataSetIterator implementations.
|
AsyncMultiDataSetIterator |
Async prefetching iterator wrapper for MultiDataSetIterator implementations
This will asynchronously prefetch the specified number of minibatches from the underlying iterator.
Also has the option (enabled by default for most constructors) to use a cyclical workspace to avoid creating INDArrays with off-heap memory that needs to be cleaned up by the JVM garbage collector. Note that appropriate DL4J fit methods automatically utilize this iterator, so users don't need to manually wrap their iterators when fitting a network |
BalanceMinibatches |
Auto balance mini batches by label.
|
DataSet |
A data transform (example/outcome pairs)
The outcomes are specifically for neural network encoding such that
any labels that are considered true are 1s.
|
ExistingMiniBatchDataSetIterator |
Read in existing mini batches created
by the mini batch file datasetiterator.
|
MiniBatchFileDataSetIterator |
Mini batch file datasetiterator
auto partitions a dataset in to mini batches
|
MultiDataSet |
Implementation of
MultiDataSet |
SplitTestAndTrain |
SplitV test and train
|
ViewIterator |
Iterate over a dataset
with views
|
Copyright © 2020. All rights reserved.