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See:
Description
Class Summary | |
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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 a table of double s. |
Classification | This class contains a main-method that allows to compute some performance measures in a very simple way. |
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 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 measure together. |
Enum Summary | |
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MeasureParameters.Measure | This Enum defines all measures that are currently implemented in Jstacs. |
Exception Summary | |
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ClassDimensionException | This class indicates that the classifier should be 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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