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## cc.mallet.optimize
Class StochasticMetaAscent

    java.lang.Object
      cc.mallet.optimize.StochasticMetaAscent

All Implemented Interfaces:
  Optimizer.ByBatches

    public class StochasticMetaAscent

extends java.lang.Object
implements Optimizer.ByBatches

Author:
  Greg Druck, Kedar Bellare

Constructor Summary
`StochasticMetaAscent(Optimizable.ByBatchGradient maxable)`

Method Summary
`boolean` | `optimize(int numBatches, int[] batchAssignments)`
`boolean` | `optimize(int numIterations, int numBatches, int[] batchAssignments)`
`void` | `setInitialStep(double step)`
`void` | `setMu(double m)`
`void` | `setUseHessian(boolean flag)`

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

Constructor Detail

### StochasticMetaAscent

    public StochasticMetaAscent(Optimizable.ByBatchGradient maxable)

Method Detail

### setInitialStep

    public void setInitialStep(double step)

### setMu

    public void setMu(double m)

### setUseHessian

    public void setUseHessian(boolean flag)

### optimize

    public boolean optimize(int numBatches,
                            int[] batchAssignments)

  Specified by:
    `optimize` in interface `Optimizer.ByBatches`

### optimize

    public boolean optimize(int numIterations,
                            int numBatches,
                            int[] batchAssignments)

  Specified by:
    `optimize` in interface `Optimizer.ByBatches`

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