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| Interface Summary | |
|---|---|
| ContinuousModel<P> | An SVM solution which assigns a floating-point value to unknown points. |
| DiscreteModel<L,P> | An SVM solution which can classify unknown points using a set of discrete labels. |
| ExplicitSvmProblem<L extends Comparable,P,R extends SvmProblem<L,P,R>> | Deprecated. |
| LabelParser<L> | An object that can map strings to classification labels of the generic type L. |
| MutableSvmProblem<L extends Comparable,P,R extends SvmProblem<L,P,R>> | An SVM problem to which training examples may be added. |
| SvmProblem<L extends Comparable,P,R> | An SVM problem consisting of a mapping of training examples to labels. |
| Class Summary | |
|---|---|
| AbstractSvmProblem<L extends Comparable,P,R extends SvmProblem<L,P,R>> | |
| ExplicitSvmProblemImpl<L extends Comparable,P,R extends SvmProblem<L,P,R>> | |
| ImmutableSvmParameter<L extends Comparable,P> | I do not like it |
| ImmutableSvmParameter.Builder<L extends Comparable,P> | |
| ImmutableSvmParameterGrid<L extends Comparable,P> | For now this supports sweeping over C and different kernels (which may have e.g. |
| ImmutableSvmParameterGrid.Builder<L extends Comparable,P> | |
| ImmutableSvmParameterPoint<L extends Comparable,P> | |
| ImmutableSvmParameterPoint.Builder<L extends Comparable,P> | |
| SigmoidProbabilityModel | |
| SolutionModel<L extends Comparable,P> | |
| SolutionVector<P> | |
| Solver<L extends Comparable,P> | An SMO algorithm in Fan et al., JMLR 6(2005), p. |
| Solver_NU<L extends Comparable,P> | Solver for nu-svm classification and regression additional constraint: e^T \alpha = constant |
| SVM<L extends Comparable,P,R extends SvmProblem<L,P,R>> | |
| SvmContext<L extends Comparable,P> | |
| Enum Summary | |
|---|---|
| SolutionVector.Status | |
| Exception Summary | |
|---|---|
| SvmException | |
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