Package | Description |
---|---|
de.jstacs.classifiers.differentiableSequenceScoreBased |
Provides the classes for
Classifier s that are based on SequenceScore s.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
DifferentiableStatisticalModel s 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
DifferentiableStatisticalModel s either
by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL). |
Modifier and Type | Method and Description |
---|---|
ScoreClassifier |
ScoreClassifier.clone() |
Constructor and Description |
---|
ScoreClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass,
AlphabetContainer alphabet,
int length,
byte algo,
AbstractTerminationCondition tc,
double lineps,
double startD,
boolean free,
OptimizableFunction.KindOfParameter kind)
The constructor for a simple, instantiated parameter set.
|
ScoreClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass,
AlphabetContainer alphabet,
int length,
byte algo,
double eps,
double lineps,
double startD,
boolean free,
OptimizableFunction.KindOfParameter kind)
The constructor for a simple, instantiated parameter set.
|
ScoreClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass,
boolean simple,
AlphabetContainer.AlphabetContainerType type,
boolean variableLength)
Creates a new
ScoreClassifierParameterSet with empty parameter
values. |
Modifier and Type | Class and Description |
---|---|
class |
GenDisMixClassifier
This class implements a classifier the optimizes the following function
![]() |
Constructor and Description |
---|
GenDisMixClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass,
AlphabetContainer alphabet,
int length,
byte algo,
double eps,
double lineps,
double startD,
boolean free,
OptimizableFunction.KindOfParameter kind,
boolean norm,
int threads)
The default constructor that constructs a new
GenDisMixClassifierParameterSet . |
Modifier and Type | Class and Description |
---|---|
class |
MSPClassifier
This class implements a classifier that allows the training via MCL or MSP principle.
|