cc.mallet.classify
Class MaxEntOptimizableByGE
java.lang.Object
cc.mallet.classify.MaxEntOptimizableByGE
- All Implemented Interfaces:
- Optimizable, Optimizable.ByGradientValue
public class MaxEntOptimizableByGE
- extends java.lang.Object
- implements Optimizable.ByGradientValue
- Author:
- gdruck
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
cacheStale
protected boolean cacheStale
defaultFeatureIndex
protected int defaultFeatureIndex
temperature
protected double temperature
objWeight
protected double objWeight
cachedValue
protected double cachedValue
gaussianPriorVariance
protected double gaussianPriorVariance
cachedGradient
protected double[] cachedGradient
parameters
protected double[] parameters
trainingList
protected InstanceList trainingList
classifier
protected MaxEnt classifier
constraints
protected java.util.ArrayList<MaxEntGEConstraint> constraints
MaxEntOptimizableByGE
public MaxEntOptimizableByGE(InstanceList trainingList,
java.util.ArrayList<MaxEntGEConstraint> constraints,
MaxEnt initClassifier)
- Parameters:
trainingList
- List with unlabeled training instances.constraints
- Feature expectation constraints.initClassifier
- Initial classifier.
setGaussianPriorVariance
public void setGaussianPriorVariance(double variance)
- Sets the variance for Gaussian prior or
equivalently the inverse of the weight
of the L2 regularization term.
- Parameters:
variance
- Gaussian prior variance.
setTemperature
public void setTemperature(double temp)
- Model probabilities are raised to the power 1/temperature and
renormalized. As the temperature decreases, model probabilities
approach 1 for the maximum probability class, and 0 for other classes.
DEFAULT: 1
- Parameters:
temp
- Temperature.
setWeight
public void setWeight(double weight)
- The weight of GE term in the objective function.
- Parameters:
weight
- GE term weight.
getClassifier
public MaxEnt getClassifier()
getValue
public double getValue()
- Specified by:
getValue
in interface Optimizable.ByGradientValue
getRegularization
protected double getRegularization()
getValueGradient
public void getValueGradient(double[] buffer)
- Specified by:
getValueGradient
in interface Optimizable.ByGradientValue
getNumParameters
public int getNumParameters()
- Specified by:
getNumParameters
in interface Optimizable
getParameter
public double getParameter(int index)
- Specified by:
getParameter
in interface Optimizable
getParameters
public void getParameters(double[] buffer)
- Specified by:
getParameters
in interface Optimizable
setParameter
public void setParameter(int index,
double value)
- Specified by:
setParameter
in interface Optimizable
setParameters
public void setParameters(double[] params)
- Specified by:
setParameters
in interface Optimizable