Package edu.illinois.cs.cogcomp.lbjava.classify

Class Summary

Class	Description
Classifier	Objects of this class represent functions that make some multi-valued decision about an object.
DiscreteArrayFeature	A discrete array feature keeps track of its index in the classifier's returned array as well as the total number of features in that array.
DiscreteArrayStringFeature	A discrete array feature keeps track of its index in the classifier's returned array as well as the total number of features in that array.
DiscreteConjunctiveFeature	Represents the conjunction of two discrete features.
DiscreteFeature	A discrete feature takes on one value from a set of discontinuous values.
DiscretePrimitiveFeature	A primitive discrete feature is a discrete feature with a string value.
DiscretePrimitiveStringFeature	This feature is functionally equivalent to DiscretePrimitiveFeature, however its DiscretePrimitiveStringFeature.value is stored as a String instead of a ByteString.
DiscreteReferrer	A referring discrete feature is one that has its own identifier, but whose value comes from a separate feature that it refers to.
DiscreteReferringFeature	A referring discrete feature is one that has its own identifier, but whose value comes from a separate feature that it refers to.
DiscreteReferringStringFeature	A referring discrete feature is one that has its own identifier, but whose value comes from a separate feature that it refers to.
Feature	Objects of this class represent the value of a Classifier's decision.
FeatureVector	Objects of this class are returned by classifiers that have been applied to an object.
FeatureVectorReturner	This classifier expects FeatureVectors as input, and it simply returns them as output.
LabelVectorReturner	This classifier expects a FeatureVector as input, and it returns the contents of its labels list in a new FeatureVector as output.
MultiValueComparer	This classifier applies another classifier to the example object and returns a Boolean feature (with value "true" or "false") indicating whether a given feature value appeared in the output of the classifier.
RealArrayFeature	A real array feature keeps track of its index in the classifier's returned array.
RealArrayStringFeature	A real array feature keeps track of its index in the classifier's returned array.
RealConjunctiveFeature	Represents the conjunction of two features.
RealFeature	A real feature takes on any value representable by a double.
RealPrimitiveFeature	A real feature takes on any value representable by a double.
RealPrimitiveStringFeature	A real feature takes on any value representable by a double.
RealReferrer	A referring real feature is one that has its own identifier, but whose value comes from a separate feature that it refers to.
RealReferringFeature	A referring real feature is one that has its own identifier, but whose value comes from a separate feature that it refers to.
RealReferringStringFeature	A referring real feature is one that has its own identifier, but whose value comes from a separate feature that it refers to.
Score	A score is a number produced by a learner that indicates the degree to which a particular discrete classification is appropriate for a given object.
ScoreSet	A score set is simply a set of Scores.
TestDiscrete	This class is a program that can evaluate any Classifier against an oracle Classifier on the objects returned from a Parser.
TestReal	This class is a program that can evaluate any Classifier against an oracle Classifier on the objects returned from a Parser, with different statistical metrics.
ValueComparer	This classifier applies another classifier to the example object and returns a Boolean feature (with value "true" or "false") representing the equality of the argument classifier's feature value to a given value.