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## org.encog.ml.train.strategy
Class StopTrainingStrategy

    java.lang.Object
      org.encog.ml.train.strategy.StopTrainingStrategy

All Implemented Interfaces:
  EndTrainingStrategy, Strategy

    public class StopTrainingStrategy

extends Object
implements EndTrainingStrategy

This strategy will indicate once training is no longer improving the neural network by a specified amount, over a specified number of cycles. This allows the program to automatically determine when to stop training.

Author:
  jheaton

Field Summary
`static double` | `DEFAULT_MIN_IMPROVEMENT` The default minimum improvement before training stops.
`static int` | `DEFAULT_TOLERATE_CYCLES` The default number of cycles to tolerate.

Constructor Summary
`StopTrainingStrategy()` Construct the strategy with default options.
`StopTrainingStrategy(double minImprovement, int toleratedCycles)` Construct the strategy with the specified parameters.

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.
`boolean` | `shouldStop()`

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

Field Detail

### DEFAULT_MIN_IMPROVEMENT

    public static final double DEFAULT_MIN_IMPROVEMENT

  The default minimum improvement before training stops.

  See Also:
    Constant Field Values

### DEFAULT_TOLERATE_CYCLES

    public static final int DEFAULT_TOLERATE_CYCLES

  The default number of cycles to tolerate.

  See Also:
    Constant Field Values

Constructor Detail

### StopTrainingStrategy

    public StopTrainingStrategy()

  Construct the strategy with default options.

### StopTrainingStrategy

    public StopTrainingStrategy(double minImprovement,
                                int toleratedCycles)

  Construct the strategy with the specified parameters.

  Parameters:
    `minImprovement` - The minimum accepted improvement.
    `toleratedCycles` - The number of cycles to tolerate before stopping.

Method Detail

### init

    public void init(MLTrain train)

  Initialize this strategy.

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

### postIteration

    public void postIteration()

  Called just after a training iteration.

  Specified by:
    `postIteration` in interface `Strategy`

### preIteration

    public void preIteration()

  Called just before a training iteration.

  Specified by:
    `preIteration` in interface `Strategy`

### shouldStop

    public boolean shouldStop()

  Specified by:
    `shouldStop` in interface `EndTrainingStrategy`
  Returns:
    True if training should stop.

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