Package | Description |
---|---|
jsat.classifiers.linear.kernelized | |
jsat.lossfunctions |
Constructor and Description |
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BOGD(KernelTrick k,
int budget,
double eta,
double reg,
double maxCoeff,
LossC lossC)
Creates a new BOGD++ learner
|
OSKL(KernelTrick k,
double eta,
double G,
double R,
LossC lossC)
Creates a new OSKL learner
|
Modifier and Type | Interface and Description |
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interface |
LossMC
Specifies a loss function for multi-class problems.
|
Modifier and Type | Class and Description |
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class |
HingeLoss
The HingeLoss loss function for classification L(x, y) = max(0, 1-y*x)
.
|
class |
LogisticLoss
The LogisticLoss loss function for classification L(x, y) =
log(1+exp(-y*x)).
|
class |
SoftmaxLoss
The Softmax loss function is a multi-class generalization of the
Logistic loss . |
Modifier and Type | Method and Description |
---|---|
LossC |
LossC.clone() |
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