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| Class Summary | |
|---|---|
| FeatureNode | |
| Linear | Java port of liblinear 1.51 The usage should be pretty similar to the C version of liblinear. |
| Model | Model stores the model obtained from the training procedure
use Linear#loadModel(String) and Linear#saveModel(String, Model) to load/save it |
| Parameter | |
| Predict | |
| Problem | Problem describes the problem For example, if we have the following training data: LABEL ATTR1 ATTR2 ATTR3 ATTR4 ATTR5 ----- ----- ----- ----- ----- ----- 1 0 0.1 0.2 0 0 2 0 0.1 0.3 -1.2 0 1 0.4 0 0 0 0 2 0 0.1 0 1.4 0.5 3 -0.1 -0.2 0.1 1.1 0.1 and bias = 1, then the components of problem are: l = 5 n = 6 y -> 1 2 1 2 3 x -> [ ] -> (2,0.1) (3,0.2) (6,1) (-1,?) |
| Train | |
| Enum Summary | |
|---|---|
| SolverType | |
| Exception Summary | |
|---|---|
| InvalidInputDataException | |
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