| Class and Description |
|---|
| Classifier
Objects of this class represent functions that make some multi-valued decision about an object.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| Class and Description |
|---|
| Classifier
Objects of this class represent functions that make some multi-valued decision about an object.
|
| 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.
|
| 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. |
| Class and Description |
|---|
| Classifier
Objects of this class represent functions that make some multi-valued decision about an object.
|
| DiscreteConjunctiveFeature
Represents the conjunction of two discrete features.
|
| DiscreteReferrer
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.
|
| RealConjunctiveFeature
Represents the conjunction of two features.
|
| RealReferrer
A referring real feature is one that has its own identifier, but whose value comes from a
separate feature that it refers to.
|
| ScoreSet
A score set is simply a set of
Scores. |
| Class and Description |
|---|
| Classifier
Objects of this class represent functions that make some multi-valued decision about an object.
|
| Feature
Objects of this class represent the value of a
Classifier's decision. |
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