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

    Constructors
    Constructor and Description
    `RegularizationStrategy(double lambda)`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `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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