org.encog.util.normalize.target
Class NormalizationStorageNeuralDataSet
- java.lang.Object
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- org.encog.util.normalize.target.NormalizationStorageNeuralDataSet
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- All Implemented Interfaces:
- java.io.Serializable, NormalizationStorage
public class NormalizationStorageNeuralDataSet extends java.lang.Object implements NormalizationStorage
Store the normalized data to a neural data set.- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor and Description NormalizationStorageNeuralDataSet()NormalizationStorageNeuralDataSet(int inputCount, int idealCount)Construct a new NeuralDataSet based on the parameters specified.NormalizationStorageNeuralDataSet(MLDataSet dataset)Construct a normalized neural storage class to hold data.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description voidclose()Not needed for this storage type.MLDataSetgetDataset()voidopen(DataNormalization norm)Not needed for this storage type.voidwrite(double[] data, int inputCount)Write an array.
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Constructor Detail
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NormalizationStorageNeuralDataSet
public NormalizationStorageNeuralDataSet()
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NormalizationStorageNeuralDataSet
public NormalizationStorageNeuralDataSet(int inputCount, int idealCount)Construct a new NeuralDataSet based on the parameters specified.- Parameters:
inputCount- The input count.idealCount- The output count.
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NormalizationStorageNeuralDataSet
public NormalizationStorageNeuralDataSet(MLDataSet dataset)
Construct a normalized neural storage class to hold data.- Parameters:
dataset- The data set to store to. This uses an existing data set.
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Method Detail
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close
public void close()
Not needed for this storage type.- Specified by:
closein interfaceNormalizationStorage
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open
public void open(DataNormalization norm)
Not needed for this storage type.- Specified by:
openin interfaceNormalizationStorage- Parameters:
norm- The data normalization.
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write
public void write(double[] data, int inputCount)Write an array.- Specified by:
writein interfaceNormalizationStorage- Parameters:
data- The data to write.inputCount- How much of the data is input.
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getDataset
public MLDataSet getDataset()
- Returns:
- The dataset used.
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