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## cc.mallet.fst.semi_supervised
Class GEKLCriterion

    java.lang.Object
      cc.mallet.fst.semi_supervised.GECriterion
          cc.mallet.fst.semi_supervised.GEKLCriterion

    public class GEKLCriterion

extends GECriterion

Field Summary

Fields inherited from class cc.mallet.fst.semi_supervised.GECriterion
`count, expectation, name, target, weight`

Constructor Summary
`GEKLCriterion(java.lang.String name, double[] target, double weight)`

Method Summary
`protected double` | `getGradientConstant(int labelIndex)` Returns the target/expectation ratio required in lattice computations.

Methods inherited from class cc.mallet.fst.semi_supervised.GECriterion
`getCount, getExpectation, getExpectation, getName, getTarget, getTarget, getWeight, setCount, setExpectation`

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

Constructor Detail

### GEKLCriterion

    public GEKLCriterion(java.lang.String name,
                         double[] target,
                         double weight)

Method Detail

### getGradientConstant

    protected double getGradientConstant(int labelIndex)

  Returns the target/expectation ratio required in lattice computations.

  *Note*: The ratio is divided by the feature count if the label expectations have been normalized.

  Specified by:
    `getGradientConstant` in class `GECriterion`

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