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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 Results given as a table of double
s. |
| ConfusionMatrix | This class holds the confusion matrix of a classifier. |
| 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. |
| MeasureParameters | This class holds the parameters for the evaluate-methods of a
classifier. |
| ScoreBasedPerformanceMeasureDefinitions | This class contains the methods that are needed to evaluate a score based 2-class-classifier. |
| ScoreBasedPerformanceMeasureDefinitions.ThresholdMeasurePair | This class is used as a container that allows to store a threshold and the result of a measure together. |
| Enum Summary | |
|---|---|
| MeasureParameters.Measure | This enum defines all measures that are currently
implemented in Jstacs. |
| Exception Summary | |
|---|---|
| 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
Samples). |
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 Models and those using ScoringFunctions.
As a sub-package this package also provides the classes for the assessment of classifiers.
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