Modifier and Type | Method and Description |
---|---|
PredictionFunction |
MultiEpochLearning.getPredictionFunction() |
PredictionFunction |
LearningAlgorithm.getPredictionFunction()
Returns the predictionFunction learned during the training process
|
Modifier and Type | Method and Description |
---|---|
void |
MultiEpochLearning.setPredictionFunction(PredictionFunction predictionFunction) |
void |
LearningAlgorithm.setPredictionFunction(PredictionFunction predictionFunction)
Sets the predictionFunction learned during the training process.
|
Modifier and Type | Method and Description |
---|---|
PredictionFunction |
Stoptron.getPredictionFunction() |
PredictionFunction |
RandomizedBudgetPerceptron.getPredictionFunction() |
Modifier and Type | Method and Description |
---|---|
void |
Stoptron.setPredictionFunction(PredictionFunction predictionFunction) |
void |
RandomizedBudgetPerceptron.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
DCDLearningAlgorithm.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
SequenceClassificationLearningAlgorithm.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
LibLinearLearningAlgorithm.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
BinaryNuSvmClassification.setPredictionFunction(PredictionFunction predictionFunction) |
void |
BinaryCSvmClassification.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
OneVsOneLearning.setPredictionFunction(PredictionFunction predictionFunction) |
void |
OneVsAllLearning.setPredictionFunction(PredictionFunction predictionFunction) |
void |
MultiLabelClassificationLearning.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
LinearPassiveAggressiveClassification.setPredictionFunction(PredictionFunction predictionFunction) |
void |
KernelizedPassiveAggressiveClassification.setPredictionFunction(PredictionFunction predictionFunction) |
void |
BudgetedPassiveAggressiveClassification.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
PegasosLearningAlgorithm.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
LinearPerceptron.setPredictionFunction(PredictionFunction predictionFunction) |
void |
KernelizedPerceptron.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
SoftConfidenceWeightedClassification.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
LibLinearRegression.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
EpsilonSvmRegression.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Method and Description |
---|---|
void |
LinearPassiveAggressiveRegression.setPredictionFunction(PredictionFunction predictionFunction) |
void |
KernelizedPassiveAggressiveRegression.setPredictionFunction(PredictionFunction predictionFunction) |
Modifier and Type | Class and Description |
---|---|
class |
SequencePredictionFunction
This class implements a classifier in a sequence labeling process.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Classifier
It is a generic classifier, i.e.
|
Modifier and Type | Class and Description |
---|---|
class |
BinaryClassifier
It is a generic binary classification function that can be learned with a machine learning algorithm
It learns a binary concept.
|
class |
BinaryKernelMachineClassifier
It is a kernel-base binary classifier
|
class |
BinaryLinearClassifier
It linear binary classifier operating directly on an explicit vector space
|
Modifier and Type | Class and Description |
---|---|
class |
MultiLabelClassifier
It is a multi label classifier.
|
class |
OneVsAllClassifier
It is a multiclass classifier operating in a one-vs-all schema.
|
class |
OneVsOneClassifier |
Modifier and Type | Method and Description |
---|---|
PredictionFunction |
SequenceModel.getBasePredictionFunction() |
Modifier and Type | Method and Description |
---|---|
void |
SequenceModel.setBasePredictionFunction(PredictionFunction basePredictionFunction) |
Constructor and Description |
---|
SequenceModel(PredictionFunction basePredictionFunction,
SequenceExampleGenerator sequenceExampleGenerator) |
Modifier and Type | Interface and Description |
---|---|
interface |
RegressionFunction
It is a generic regression prediction function, i.e.
|
Modifier and Type | Class and Description |
---|---|
class |
UnivariateKernelMachineRegressionFunction
It is a univariate regression prediction function consisting of an implicit
hyperplane in a Reproducing Kernel Hilbert Space.
|
class |
UnivariateLinearRegressionFunction
It is a univariate regression prediction function consisting of an explicit hyperplane.
|
class |
UnivariateRegressionFunction
It is a univariate regression prediction function.
|
Modifier and Type | Method and Description |
---|---|
static List<Prediction> |
ExperimentUtils.test(PredictionFunction predictionFunction,
Evaluator evaluator,
Dataset testset)
Evaluates a prediction function over a testset
|
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