Package | Description |
---|---|
jsat.lossfunctions |
Modifier and Type | Class and Description |
---|---|
class |
AbsoluteLoss
The AbsoluteLoss loss function for regression L(x, y) = |x-y|.
|
class |
EpsilonInsensitiveLoss
The ε-insensitive loss for regression L(x, y) =
max(0, |x-y|-ε) is the common loss function used for Support
Vector Regression.
|
class |
HuberLoss
The HuberLoss loss function for regression.
|
class |
SquaredLoss
The SquaredLoss loss function for regression L(x, y) = (x-y)2.
|
Modifier and Type | Method and Description |
---|---|
LossR |
LossR.clone() |
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