Package | Description |
---|---|
cs2.introml | |
cs2.introml.tests |
Class and Description |
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Classifier
Represents a classifier
|
DataSet
Represents a set of examples
|
DenseExample
An array-backed example, useful in situations
in which most if not all features are non-zero.
|
DistanceFunction
Represents a distance function between two
testing examples.
|
Example
Represents a fixed-size sequence of
features with an associated result.
|
FeatureEntry
Interface representing a feature
within an example.
|
HiddenPatternDataSet
A dataset based upon a set of patterns, each
a result object and a set of feature number/value pairs.
|
HiddenPatternDataSet.PatternException
Exception class for errors adding patterns
|
LibSVMDataSet.ResultInterpreter
Method by which to interpret the example result
as an object
|
ListDataSet
ArrayList-backed DataSet implementation
|
SparseExample
Implements an example by storing index/value pairs,
useful in situations where many/most of the example
features are 0
|
TestingExample
Represents a fixed-size sequence of
features without an associated result.
|
Class and Description |
---|
HiddenPatternDataSet.PatternException
Exception class for errors adding patterns
|