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## org.encog.neural.rbf.training
Class SVDTraining

    java.lang.Object
      org.encog.ml.train.BasicTraining
          org.encog.neural.rbf.training.SVDTraining

All Implemented Interfaces:
  MLTrain

    public class SVDTraining

extends BasicTraining

Train a RBF neural network using a SVD. Contributed to Encog By M.Fletcher and M.Dean University of Cambridge, Dept. of Physics, UK

Constructor Summary
`SVDTraining(RBFNetwork network, MLDataSet training)` Construct the training object.

Method Summary
`boolean` | `canContinue()`
`void` | `flatToMatrix(double[] flat, int start, double[][] matrix)`
`RBFNetwork` | `getMethod()` Get the current best machine learning method from the training.
`void` | `iteration()` Perform one iteration.
`void` | `matrixToFlat(double[][] matrix, double[] flat, int start)` Convert the matrix to flat.
`TrainingContinuation` | `pause()` Pause the training to continue later.
`void` | `resume(TrainingContinuation state)` Resume training.

Methods inherited from class org.encog.ml.train.BasicTraining
`addStrategy, finishTraining, getError, getImplementationType, getIteration, getStrategies, getTraining, isTrainingDone, iteration, postIteration, preIteration, setError, setIteration, setTraining`

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

Constructor Detail

### SVDTraining

    public SVDTraining(RBFNetwork network,
                       MLDataSet training)

  Construct the training object.

  Parameters:
    `network` - The network to train. Must have a single output neuron.
    `training` - The training data to use. Must be indexable.

Method Detail

### canContinue

    public boolean canContinue()

  Returns:
    True if the training can be paused, and later continued.

### flatToMatrix

    public void flatToMatrix(double[] flat,
                             int start,
                             double[][] matrix)

### getMethod

    public final RBFNetwork getMethod()

  Get the current best machine learning method from the training.

  Returns:
    The best machine learningm method.

### iteration

    public final void iteration()

  Perform one iteration.

### matrixToFlat

    public void matrixToFlat(double[][] matrix,
                             double[] flat,
                             int start)

  Convert the matrix to flat.

  Parameters:
    `matrix` - The matrix.
    `flat` - Flat array.
    `start` - WHere to start.

### pause

    public TrainingContinuation pause()

  Pause the training to continue later.

  Returns:
    A training continuation object.

### resume

    public void resume(TrainingContinuation state)

  Resume training.

  Parameters:
    `state` - The training continuation object to use to continue.

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