| Modifier and Type | Class and Description |
|---|---|
class |
PassiveAggressive
It is an online learning algorithms that implements the Passive Aggressive algorithms described in
[Crammer, JMLR2006] K.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BudgetedLearningAlgorithm
It is binary kernel-based online learning method that binds the number of support vector to a fix number (i.e.
|
class |
RandomizedBudgetPerceptron
It is a variation of the Randomized Budget Perceptron proposed in
|
class |
Stoptron
It is a variation of the Stoptron proposed in
|
| Modifier and Type | Class and Description |
|---|---|
class |
DCDLearningAlgorithm
Implements Dual Coordinate Descent (DCD) training algorithms for a Linear
L1 or L2 Support Vector Machine for binary
classification.
|
| Constructor and Description |
|---|
SequenceClassificationKernelBasedLearningAlgorithm(BinaryLearningAlgorithm baseLearningAlgorithm,
int transitionsOrder,
float transitionWeight) |
SequenceClassificationLinearLearningAlgorithm(BinaryLearningAlgorithm baseLearningAlgorithm,
int transitionsOrder,
float transitionWeight) |
| Modifier and Type | Class and Description |
|---|---|
class |
LibLinearLearningAlgorithm
This class implements linear SVMs models trained using a coordinate descent
algorithm [Fan et al, 2008].
|
| Modifier and Type | Class and Description |
|---|---|
class |
BinaryCSvmClassification
It implements the C-SVM learning algorithm discussed in [CC Chang & CJ Lin,
2011].
|
class |
BinaryNuSvmClassification
It implements the \(\nu\)-SVM learning algorithm discussed in [CC Chang & CJ
Lin, 2011].
|
class |
OneClassSvmClassification
It implements the One class SVM learning algorithm discussed in [CC Chang &
CJ Lin, 2011].
|
| Modifier and Type | Class and Description |
|---|---|
class |
LibCSvmSolver
This class implements the solver of the C-SVM quadratic problem described in
[CC Chang & CJ Lin, 2011].
|
class |
LibNuSvmSolver
It is the instance of a solution provided the \(\nu\)-SVM solver of the
optimization problem.
|
class |
LibSvmSolver
This class implements the solver of the SVM quadratic problem described in
[CC Chang & CJ Lin, 2011].
|
| Modifier and Type | Class and Description |
|---|---|
class |
BudgetedPassiveAggressiveClassification
Online Passive-Aggressive on a budget
reference: Zhuang Wang and Slobodan Vucetic
Online Passive-Aggressive Algorithms on a Budget
|
class |
KernelizedPassiveAggressiveClassification
Online Passive-Aggressive Learning Algorithm for classification tasks (Kernel Machine version) .
|
class |
LinearPassiveAggressiveClassification
Online Passive-Aggressive Learning Algorithm for classification tasks (linear version) .
|
class |
PassiveAggressiveClassification
Online Passive-Aggressive Learning Algorithm for classification tasks.
|
| Modifier and Type | Class and Description |
|---|---|
class |
PegasosLearningAlgorithm
It implements the Primal Estimated sub-GrAdient SOlver (PEGASOS) for SVM.
|
| Modifier and Type | Class and Description |
|---|---|
class |
KernelizedPerceptron
The perceptron learning algorithm algorithm for classification tasks (Kernel machine version).
|
class |
LinearPerceptron
The perceptron learning algorithm algorithm for classification tasks (linear version).
|
class |
Perceptron
The perceptron learning algorithm algorithm for classification tasks.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SoftConfidenceWeightedClassification
Implements Exact Soft Confidence-Weighted (SCW) algorithms, an on-line
learning algorithm for binary classification.
|
| Modifier and Type | Class and Description |
|---|---|
class |
LibLinearRegression
This class implements linear SVM regression trained using a coordinate descent
algorithm [Fan et al, 2008].
|
| Modifier and Type | Class and Description |
|---|---|
class |
EpsilonSvmRegression
It implements the \(\epsilon\)-SVR learning algorithm discussed in [CC Chang
& CJ Lin, 2011].
|
| Modifier and Type | Class and Description |
|---|---|
class |
KernelizedPassiveAggressiveRegression
Online Passive-Aggressive Learning Algorithm for regression tasks (kernel machine version).
|
class |
LinearPassiveAggressiveRegression
Online Passive-Aggressive Learning Algorithm for regression tasks (linear version).
|
class |
PassiveAggressiveRegression
Online Passive-Aggressive Learning Algorithm for regression tasks.
|
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