public class MultiNormalizerMinMaxScaler extends AbstractMultiDataSetNormalizer<MinMaxStats>
strategy
Constructor and Description |
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MultiNormalizerMinMaxScaler() |
MultiNormalizerMinMaxScaler(double minRange,
double maxRange)
Preprocessor can take a range as minRange and maxRange
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Modifier and Type | Method and Description |
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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 type of this normalizer
|
protected NormalizerStats.Builder |
newBuilder() |
fit, fit, fitLabel, getFeatureStats, getFeatureStats, getLabelStats, getLabelStats, isFit, isFitLabel, numInputs, numOutputs, preProcess, revert, revertFeatures, revertFeatures, revertFeatures, revertLabels, revertLabels, revertLabels, transform
public MultiNormalizerMinMaxScaler()
public MultiNormalizerMinMaxScaler(double minRange, double maxRange)
minRange
- the target range lower boundmaxRange
- the target range upper boundpublic double getTargetMin()
public double getTargetMax()
protected NormalizerStats.Builder newBuilder()
newBuilder
in class AbstractMultiDataSetNormalizer<MinMaxStats>
public INDArray getMin(int input)
public INDArray getMax(int input)
public INDArray getLabelMin(int output)
public INDArray getLabelMax(int output)
public NormalizerType getType()
Normalizer
NormalizerSerializerStrategy.getSupportedType()
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