edu.stanford.nlp.classify
Class GeneralizedExpectationObjectiveFunction<L,F>
java.lang.Object
edu.stanford.nlp.optimization.AbstractCachingDiffFunction
edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction<L,F>
- All Implemented Interfaces:
- DiffFunction, Function, HasInitial
public class GeneralizedExpectationObjectiveFunction<L,F>
- extends AbstractCachingDiffFunction
Implementation of Generalized Expectation Objective function for
an I.I.D. log-linear model. See Mann and McCallum, ACL 2008.
IMPORTANT: the current implementation is only correct as long as
the labeled features passed to GE are binary.
However, other features are allowed to be real valued.
The original paper also discusses GE only for binary features.
- Author:
- Ramesh Nallapati (nmramesh@cs.stanford.edu)
Method Summary |
protected void |
calculate(double[] x)
Calculate the value at x and the derivative
and save them in the respective fields. |
int |
domainDimension()
Returns the number of dimensions in the function's domain |
protected int |
indexOf(int f,
int c)
|
double[][] |
to2D(double[] x)
|
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
GeneralizedExpectationObjectiveFunction
public GeneralizedExpectationObjectiveFunction(GeneralDataset<L,F> labeledDataset,
java.util.List<? extends Datum<L,F>> unlabeledDataList,
java.util.List<F> geFeatures)
domainDimension
public int domainDimension()
- Description copied from interface:
Function
- Returns the number of dimensions in the function's domain
- Returns:
- the number of domain dimensions
indexOf
protected int indexOf(int f,
int c)
to2D
public double[][] to2D(double[] x)
calculate
protected void calculate(double[] x)
- Description copied from class:
AbstractCachingDiffFunction
- Calculate the value at x and the derivative
and save them in the respective fields.
- Specified by:
calculate
in class AbstractCachingDiffFunction
- Parameters:
x
- The point at which to calculate the function
Stanford NLP Group