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## org.encog.neural.networks.training.strategy
Class SmartLearningRate

    java.lang.Object
      org.encog.neural.networks.training.strategy.SmartLearningRate

All Implemented Interfaces:
  Strategy

    public class SmartLearningRate

extends Object
implements Strategy

Attempt to automatically set the learning rate in a learning method that supports a learning rate.

Author:
  jheaton

Field Summary
`static double` | `LEARNING_DECAY` Learning decay rate.

Constructor Summary
`SmartLearningRate()`

Method Summary
`void` | `init(MLTrain train)` Initialize this strategy.
`void` | `postIteration()` Called just after a training iteration.
`void` | `preIteration()` Called just before a training iteration.

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

Field Detail

### LEARNING_DECAY

    public static final double LEARNING_DECAY

  Learning decay rate.

  See Also:
    Constant Field Values

Constructor Detail

### SmartLearningRate

    public SmartLearningRate()

Method Detail

### init

    public final void init(MLTrain train)

  Initialize this strategy.

  Specified by:
    `init` in interface `Strategy`
  Parameters:
    `train` - The training algorithm.

### postIteration

    public final void postIteration()

  Called just after a training iteration.

  Specified by:
    `postIteration` in interface `Strategy`

### preIteration

    public final void preIteration()

  Called just before a training iteration.

  Specified by:
    `preIteration` in interface `Strategy`

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