Normalizer (nd4j-api 1.0.0-M2.1 API)

All Known Subinterfaces:

DataNormalization, MultiDataNormalization

All Known Implementing Classes:

AbstractDataSetNormalizer, AbstractMultiDataSetNormalizer, ImageMultiPreProcessingScaler, ImagePreProcessingScaler, MultiNormalizerHybrid, MultiNormalizerMinMaxScaler, MultiNormalizerStandardize, NormalizerMinMaxScaler, NormalizerStandardize, VGG16ImagePreProcessor
```
public interface Normalizer<T>
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`fit(T dataSet)`	Fit a dataset (only compute based on the statistics from this dataset)
`NormalizerType`	`getType()`	Get the enum opType of this normalizer
`void`	`revert(T toRevert)`	Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)
`void`	`transform(T toPreProcess)`	Transform the dataset

- Method Detail
  - fit
```
void fit(T dataSet)
```
    Fit a dataset (only compute based on the statistics from this dataset)
    
    Parameters:
    
    dataSet - the dataset to compute on
  - transform
```
void transform(T toPreProcess)
```
    Transform the dataset
    
    Parameters:
    
    toPreProcess - the dataset to re process
  - revert
```
void revert(T toRevert)
```
    Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)
    
    Parameters:
    
    toRevert - DataSet to revert the normalization on
  - getType
```
NormalizerType getType()
```
    Get the enum opType of this normalizer
    
    Returns:
    
    the opType
    
    See Also:
    
    NormalizerSerializerStrategy.getSupportedType()