org.encog.util.normalize.target
public class NormalizationStorageNeuralDataSet extends Object implements NormalizationStorage
Constructor and Description |
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NormalizationStorageNeuralDataSet() |
NormalizationStorageNeuralDataSet(int inputCount,
int idealCount)
Construct a new NeuralDataSet based on the parameters specified.
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NormalizationStorageNeuralDataSet(MLDataSet dataset)
Construct a normalized neural storage class to hold data.
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Modifier and Type | Method and Description |
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void |
close()
Not needed for this storage type.
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MLDataSet |
getDataset() |
void |
open(DataNormalization norm)
Not needed for this storage type.
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void |
write(double[] data,
int inputCount)
Write an array.
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public NormalizationStorageNeuralDataSet()
public NormalizationStorageNeuralDataSet(int inputCount, int idealCount)
inputCount
- The input count.idealCount
- The output count.public NormalizationStorageNeuralDataSet(MLDataSet dataset)
dataset
- The data set to store to. This uses an existing data set.public void close()
close
in interface NormalizationStorage
public void open(DataNormalization norm)
open
in interface NormalizationStorage
public void write(double[] data, int inputCount)
write
in interface NormalizationStorage
data
- The data to write.inputCount
- How much of the data is input.public MLDataSet getDataset()
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