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## org.neuroph.samples.stockmarket
Class TrainingData

    java.lang.Object
      org.neuroph.samples.stockmarket.TrainingData

    public class TrainingData

extends java.lang.Object

Creates training set from the given data. See http://neuroph.sourceforge.net/tutorials/StockMarketPredictionTutorial.html

Constructor Summary
`TrainingData()`
`TrainingData(java.lang.String[] valuesRow)`

Method Summary
`double` | `getNormalizer()`
`TrainingSet` | `getTrainingSet()`
`java.lang.String[]` | `getValuesRow()`
`void` | `setNormalizer(double normolizer)`
`void` | `setTrainingSet(TrainingSet trainingSet)`
`void` | `setValuesRow(java.lang.String[] valuesRow)`

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

Constructor Detail

### TrainingData

    public TrainingData()

### TrainingData

    public TrainingData(java.lang.String[] valuesRow)

Method Detail

### getValuesRow

    public java.lang.String[] getValuesRow()

### setValuesRow

    public void setValuesRow(java.lang.String[] valuesRow)

### getNormalizer

    public double getNormalizer()

### setNormalizer

    public void setNormalizer(double normolizer)

### getTrainingSet

    public TrainingSet getTrainingSet()

### setTrainingSet

    public void setTrainingSet(TrainingSet trainingSet)

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