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See:
Description
Class Summary | |
---|---|
AbstractClassifier | The super class for any classifier. |
AbstractScoreBasedClassifier | This class is the main class for all score based classifiers. |
AbstractScoreBasedClassifier.DoubleTableResult | This class is for Result s given as a table of double
s. |
MappingClassifier | This class allows the user to train the classifier on a given number of classes and to evaluate the classifier on a smaller number of classes by mapping classes together. |
Exception Summary | |
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ClassDimensionException | This class indicates that a classifier is defined for less than 2 classes or
is defined over a different number of classes than given (e.g. by an array of
DataSet s). |
This package provides the framework for any classifier. The base class in this package is the class AbstractClassifier
.
All classifiers divide into two regimes: Those using TrainableStatisticalModel
s and those using DifferentiableStatisticalModel
s.
As a sub-package this package also provides the classes for the assessment of classifiers.
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