| Package | Description |
|---|---|
| de.jstacs.classifiers |
This package provides the framework for any classifier.
|
| de.jstacs.classifiers.assessment |
This package allows to assess classifiers.
It contains the class ClassifierAssessment that
is used as a super-class of all implemented methodologies of
an assessment to assess classifiers. |
| de.jstacs.classifiers.differentiableSequenceScoreBased |
Provides the classes for
Classifiers that are based on SequenceScores.It includes a sub-package for discriminative objective functions, namely conditional likelihood and supervised posterior, and a separate sub-package for the parameter priors, that can be used for the supervised posterior. |
| de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix |
Provides an implementation of a classifier that allows to train the parameters of a set of
DifferentiableStatisticalModels by
a unified generative-discriminative learning principle. |
| de.jstacs.classifiers.differentiableSequenceScoreBased.msp |
Provides an implementation of a classifier that allows to train the parameters of a set of
DifferentiableStatisticalModels either
by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL). |
| de.jstacs.classifiers.differentiableSequenceScoreBased.sampling |
Provides the classes for
AbstractScoreBasedClassifiers that are based on
SamplingDifferentiableStatisticalModels
and that sample parameters using the Metropolis-Hastings algorithm. |
| de.jstacs.classifiers.trainSMBased |
Provides the classes for
Classifiers that are based on TrainableStatisticalModels. |
| de.jstacs.classifiers.utils |
Provides some useful classes for working with classifiers.
|
| de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |
| Class and Description |
|---|
| 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. |
| 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.
|
| Class and Description |
|---|
| AbstractClassifier
The super class for any classifier.
|
| 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.
|
| Class and Description |
|---|
| AbstractClassifier
The super class for any classifier.
|
| AbstractScoreBasedClassifier
This class is the main class for all score based classifiers.
|
| Class and Description |
|---|
| AbstractClassifier
The super class for any classifier.
|
| AbstractScoreBasedClassifier
This class is the main class for all score based classifiers.
|
| Class and Description |
|---|
| AbstractClassifier
The super class for any classifier.
|
| AbstractScoreBasedClassifier
This class is the main class for all score based classifiers.
|
| Class and Description |
|---|
| AbstractClassifier
The super class for any classifier.
|
| AbstractScoreBasedClassifier
This class is the main class for all score based classifiers.
|
| Class and Description |
|---|
| AbstractClassifier
The super class for any classifier.
|
| AbstractScoreBasedClassifier
This class is the main class for all score based classifiers.
|
| 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.
|
| Class and Description |
|---|
| AbstractScoreBasedClassifier
This class is the main class for all score based classifiers.
|
| Class and Description |
|---|
| AbstractClassifier
The super class for any classifier.
|
| AbstractScoreBasedClassifier
This class is the main class for all score based classifiers.
|
| 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.
|