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

java.lang.Object
- org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer
- - org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer<MinMaxStats>
  - - org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler

All Implemented Interfaces:

Serializable, MultiDataSetPreProcessor, MultiDataNormalization, Normalizer<MultiDataSet>
```
public class MultiNormalizerMinMaxScaler
extends AbstractMultiDataSetNormalizer<MinMaxStats>
```
See Also:

Serialized Form

Field Summary
- Fields inherited from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
  strategy

Constructor Summary

Constructors
Constructor	Description
`MultiNormalizerMinMaxScaler()`
`MultiNormalizerMinMaxScaler(double minRange, double maxRange)`	Preprocessor can take a range as minRange and maxRange

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`INDArray`	`getLabelMax(int output)`
`INDArray`	`getLabelMin(int output)`
`INDArray`	`getMax(int input)`
`INDArray`	`getMin(int input)`
`double`	`getTargetMax()`
`double`	`getTargetMin()`
`NormalizerType`	`getType()`	Get the enum opType of this normalizer
`protected NormalizerStats.Builder`	`newBuilder()`

Methods inherited from class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
fit, fit, fitLabel, getFeatureStats, getFeatureStats, getLabelStats, getLabelStats, isFit, isFitLabel, numInputs, numOutputs, preProcess, revert, revertFeatures, revertFeatures, revertFeatures, revertLabels, revertLabels, revertLabels, transform

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - MultiNormalizerMinMaxScaler
```
public MultiNormalizerMinMaxScaler()
```
  - MultiNormalizerMinMaxScaler
```
public MultiNormalizerMinMaxScaler(double minRange,
                                   double maxRange)
```
    Preprocessor can take a range as minRange and maxRange
    
    Parameters:
    
    minRange - the target range lower bound
    
    maxRange - the target range upper bound
- Method Detail
  - getTargetMin
```
public double getTargetMin()
```
  - getTargetMax
```
public double getTargetMax()
```
  - newBuilder
```
protected NormalizerStats.Builder newBuilder()
```
    Specified by:
    
    newBuilder in class AbstractMultiDataSetNormalizer<MinMaxStats>
  - getMin
```
public INDArray getMin(int input)
```
  - getMax
```
public INDArray getMax(int input)
```
  - getLabelMin
```
public INDArray getLabelMin(int output)
```
  - getLabelMax
```
public INDArray getLabelMax(int output)
```
  - getType
```
public NormalizerType getType()
```
    Description copied from interface: Normalizer
    
    Get the enum opType of this normalizer
    
    Returns:
    
    the opType
    
    See Also:
    
    NormalizerSerializerStrategy.getSupportedType()