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public interface Strategy
Training strategies can be added to training algorithms. Training strategies allow different additional logic to be added to an existing training algorithm. There are a number of different training strategies that can perform various tasks, such as adjusting the learning rate or momentum, or terminating training when improvement diminishes. Other strategies are provided as well.
Method Summary | |
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void |
init(MLTrain train)
Initialize this strategy. |
void |
postIteration()
Called just after a training iteration. |
void |
preIteration()
Called just before a training iteration. |
Method Detail |
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void init(MLTrain train)
train
- The training algorithm.void preIteration()
void postIteration()
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