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

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

All Implemented Interfaces:
  Strategy

    public class RegularizationStrategy

extends Object
implements Strategy

Constructor Summary
`RegularizationStrategy(double lambda)`

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`

Constructor Detail

### RegularizationStrategy

    public RegularizationStrategy(double lambda)

Method Detail

### init

    public void init(MLTrain train)

  Description copied from interface: `Strategy`
  Initialize this strategy.

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

### preIteration

    public void preIteration()

  Description copied from interface: `Strategy`
  Called just before a training iteration.

  Specified by:
    `preIteration` in interface `Strategy`

### postIteration

    public void postIteration()

  Description copied from interface: `Strategy`
  Called just after a training iteration.

  Specified by:
    `postIteration` in interface `Strategy`

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