Méthode | Description | |
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Generate ( long seed, int count, int inputCount, int idealCount, double min, double max ) : BasicMLDataSet |
Generate a random training set.
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Generate ( IMLDataSet training, long seed, int count, double min, double max ) : void |
Generate random training into a training set.
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Méthode | Description | |
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RandomTrainingFactory ( ) : Encog.MathUtil |
Private constructor.
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public static Generate ( long seed, int count, int inputCount, int idealCount, double min, double max ) : BasicMLDataSet | ||
seed | long | The seed value to use, the same seed value will always produce /// the same results. |
count | int | How many training items to generate. |
inputCount | int | How many input numbers. |
idealCount | int | How many ideal numbers. |
min | double | The minimum random number. |
max | double | The maximum random number. |
Résultat | BasicMLDataSet |
public static Generate ( IMLDataSet training, long seed, int count, double min, double max ) : void | ||
training | IMLDataSet | The training set to generate into. |
seed | long | The seed to use. |
count | int | How much data to generate. |
min | double | The low random value. |
max | double | The high random value. |
Résultat | void |