public class NormalizerStandardize extends Object implements DataSetPreProcessor
Constructor and Description |
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NormalizerStandardize() |
Modifier and Type | Method and Description |
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void |
fit(DataSet dataSet)
Fit the given model with dataset
to calculate mean and std dev with
|
void |
fit(DataSetIterator iterator)
Fit the given model with a given iterator
to calculate mean and std dev with
|
INDArray |
getMean() |
INDArray |
getStd() |
void |
load(File mean,
File std)
Load the given mean and std
|
void |
preProcess(DataSet toPreProcess)
Pre process a dataset
|
void |
revert(DataSet toPreProcess)
Revert the data to what it was before transform
|
void |
revert(DataSetIterator toPreProcessIter) |
void |
revertPreProcess(DataSet toPreProcess) |
void |
save(File mean,
File std)
Save the current mean and std
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void |
transform(DataSet toPreProcess)
Transform the given dataset
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void |
transform(DataSetIterator toPreProcessIter)
Transform the dataset from given iterator
Need not set preprocessor on the iterator in this case
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public void fit(DataSet dataSet)
dataset
- public void fit(DataSetIterator iterator)
iterator
- public void preProcess(DataSet toPreProcess)
DataSetPreProcessor
preProcess
in interface DataSetPreProcessor
toPreProcess
- the data set to pre processpublic void transform(DataSet toPreProcess)
toPreProcess
- public void transform(DataSetIterator toPreProcessIter)
toPreProcess
- the dataset to transformpublic void revertPreProcess(DataSet toPreProcess)
public void revert(DataSet toPreProcess)
toPreProcess
- the dataset to revert backpublic void revert(DataSetIterator toPreProcessIter)
public INDArray getMean()
public INDArray getStd()
public void load(File mean, File std) throws IOException
mean
- the mean filestd
- the std fileIOException
public void save(File mean, File std) throws IOException
mean
- the meanstd
- the stdIOException
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