public class NormalizationKernel extends KernelComposition
baseKernel
Constructor and Description |
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NormalizationKernel() |
NormalizationKernel(Kernel kernelToNormalize) |
Modifier and Type | Method and Description |
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protected float |
kernelComputation(Example exA,
Example exB)
Returns the kernel similarity between the given examples.
|
float |
squaredNorm(Example example)
Returns the squared norm of the given example in the RKHS defined by this kernel
|
getBaseKernel, setBaseKernel
disableCache, getKernelCache, getKernelComputations, getNumberOfHits, getNumberOfMisses, getSquaredNormCache, innerProduct, load, reset, save, setKernelCache, setSquaredNormCache, squaredNormOfTheDifference
public NormalizationKernel(Kernel kernelToNormalize)
public NormalizationKernel()
protected float kernelComputation(Example exA, Example exB)
Kernel
kernelComputation
in class Kernel
exA
- the first exampleexB
- the second exampleexA
and
exB
public float squaredNorm(Example example)
Kernel
squaredNorm
in class Kernel
example
- the example whose squared norm must be computedCopyright © 2018 Semantic Analytics Group @ Uniroma2. All rights reserved.