Class | Description |
---|---|
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.
|
DistributionStats |
Statistics about the normal distribution of values in data (means and standard deviations).
|
DistributionStats.Builder |
Builder class that can incrementally update a running mean and variance in order to create statistics for a
large set of data
|
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 |
Split test and train
|
ViewIterator |
Iterate over a dataset
with views
|
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