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public interface MLTrain
Defines a training method for a machine learning method. Most MLMethod objects need to be trained in some way before they are ready for use.
Method Summary | |
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void |
addStrategy(Strategy strategy)
Training strategies can be added to improve the training results. |
boolean |
canContinue()
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void |
finishTraining()
Should be called once training is complete and no more iterations are needed. |
double |
getError()
|
TrainingImplementationType |
getImplementationType()
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int |
getIteration()
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MLMethod |
getMethod()
Get the current best machine learning method from the training. |
List<Strategy> |
getStrategies()
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MLDataSet |
getTraining()
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boolean |
isTrainingDone()
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void |
iteration()
Perform one iteration of training. |
void |
iteration(int count)
Perform a number of training iterations. |
TrainingContinuation |
pause()
Pause the training to continue later. |
void |
resume(TrainingContinuation state)
Resume training. |
void |
setError(double error)
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void |
setIteration(int iteration)
Set the current training iteration. |
Method Detail |
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TrainingImplementationType getImplementationType()
boolean isTrainingDone()
MLDataSet getTraining()
void iteration()
double getError()
void finishTraining()
void iteration(int count)
count
- The number of iterations to perform.int getIteration()
boolean canContinue()
TrainingContinuation pause()
void resume(TrainingContinuation state)
state
- The training continuation object to use to continue.void addStrategy(Strategy strategy)
strategy
- The strategy to add.MLMethod getMethod()
List<Strategy> getStrategies()
void setError(double error)
error
- Set the current error rate. This is usually used by training
strategies.void setIteration(int iteration)
iteration
- Iteration.
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