Modifier and Type | Method and Description |
---|---|
DataSetPreProcessor |
MiniBatchFileDataSetIterator.getPreProcessor() |
DataSetPreProcessor |
ExistingMiniBatchDataSetIterator.getPreProcessor() |
DataSetPreProcessor |
ViewIterator.getPreProcessor() |
Modifier and Type | Method and Description |
---|---|
void |
MiniBatchFileDataSetIterator.setPreProcessor(DataSetPreProcessor preProcessor) |
void |
ExistingMiniBatchDataSetIterator.setPreProcessor(DataSetPreProcessor preProcessor) |
void |
ViewIterator.setPreProcessor(DataSetPreProcessor preProcessor) |
Modifier and Type | Field and Description |
---|---|
protected DataSetPreProcessor |
BaseDatasetIterator.preProcessor |
protected DataSetPreProcessor |
KFoldIterator.preProcessor |
Modifier and Type | Method and Description |
---|---|
DataSetPreProcessor |
BaseDatasetIterator.getPreProcessor() |
DataSetPreProcessor |
DataSetIterator.getPreProcessor()
Returns preprocessors, if defined
|
DataSetPreProcessor |
SamplingDataSetIterator.getPreProcessor() |
DataSetPreProcessor |
KFoldIterator.getPreProcessor() |
DataSetPreProcessor |
MultipleEpochsIterator.getPreProcessor()
Deprecated.
|
DataSetPreProcessor |
TestDataSetIterator.getPreProcessor() |
DataSetPreProcessor |
CachingDataSetIterator.getPreProcessor() |
Modifier and Type | Method and Description |
---|---|
void |
BaseDatasetIterator.setPreProcessor(DataSetPreProcessor preProcessor)
Set a pre processor
|
void |
DataSetIterator.setPreProcessor(DataSetPreProcessor preProcessor)
Set a pre processor
|
void |
SamplingDataSetIterator.setPreProcessor(DataSetPreProcessor preProcessor)
Set a pre processor
|
void |
KFoldIterator.setPreProcessor(DataSetPreProcessor preProcessor) |
void |
MultipleEpochsIterator.setPreProcessor(DataSetPreProcessor preProcessor)
Deprecated.
Set a pre processor
|
void |
TestDataSetIterator.setPreProcessor(DataSetPreProcessor preProcessor) |
void |
CachingDataSetIterator.setPreProcessor(DataSetPreProcessor preProcessor) |
Modifier and Type | Interface and Description |
---|---|
interface |
DataNormalization
An interface for data normalizers.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractDataSetNormalizer<S extends NormalizerStats>
Abstract base class for normalizers
that act upon
DataSet instances
or iterators |
class |
ImageFlatteningDataSetPreProcessor
A DataSetPreProcessor used to flatten a 4d CNN features array to a flattened 2d format (for use in networks such
as a DenseLayer/multi-layer perceptron)
|
class |
ImagePreProcessingScaler
Created by susaneraly on 6/23/16.
|
class |
NormalizerMinMaxScaler
Pre processor for DataSets that normalizes feature values (and optionally label values) to lie between a minimum
and maximum value (by default between 0 and 1)
|
class |
NormalizerStandardize
Created by susaneraly, Ede Meijer
variance and mean
Pre processor for DataSet that normalizes feature values (and optionally label values) to have 0 mean and a standard
deviation of 1
|
class |
VGG16ImagePreProcessor
This is a preprocessor specifically for VGG16.
|
Modifier and Type | Class and Description |
---|---|
class |
UnderSamplingByMaskingPreProcessor
For use in time series with unbalanced binary classes trained with truncated back prop through time
Undersamples the majority class by randomly masking time steps belonging to it
Given a target distribution for the minority class and the window size (usually the value used with tbptt)
the preprocessor will approximate the given target distribution for every window of given size for every sample of the minibatch
By default '0' is considered the majority class and '1' the minorityLabel class
Default can be overriden with .overrideMinorityDefault()
|
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