Class and Description |
---|
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
|
MultiDataSet
Implementation of
MultiDataSet |
SplitTestAndTrain
Split test and train
|
Class and Description |
---|
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.
|
Class and Description |
---|
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.
|
Class and Description |
---|
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.
|
Class and Description |
---|
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.
|
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