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## org.encog.neural.networks.training
Interface LearningRate

All Known Implementing Classes:
  Backpropagation, BasicTrainSOM, ManhattanPropagation, QuickPropagation, TrainAdaline, TrainInstar, TrainOutstar

    public interface LearningRate

Specifies that a training algorithm has the concept of a learning rate. This allows it to be used with strategies that automatically adjust the learning rate.

Author:
  jheaton

Method Summary
`double` | `getLearningRate()`
`void` | `setLearningRate(double rate)` Set the learning rate.

Method Detail

### setLearningRate

    void setLearningRate(double rate)

  Set the learning rate.

  Parameters:
    `rate` - The new learning rate

### getLearningRate

    double getLearningRate()

  Returns:
    The learning rate.

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