Package | Description |
---|---|
org.apache.ctakes.ytex.kernel.evaluator |
Modifier and Type | Class and Description |
---|---|
class |
AttributeProductKernel
Expects numeric values as input.
|
class |
CacheKernel
consolidate caching in this class.
|
class |
ConvolutionKernel
Apply the delegate kernel to the children of the given nodes.
|
class |
EqualityKernel |
class |
LinKernel |
class |
NamedEntityNegationKernel
Evaluate negation status and certainty of named entities.
|
class |
NodeAttributeKernel
Extract a node attribute and run the delegate kernel on the attribute.
|
class |
NormKernel
Return norm of delegate kernel:
k(x,y)/sqrt(k(x,x)*k(y,y) . |
class |
ProductKernel
compute the product of delegate kernels
|
class |
SemanticSimKernel |
class |
SemanticTypeKernel
Before comparing semantic distance, use this kernel to filter by semantic
type.
|
class |
SumKernel
apply all the delegate kernels to the objects, sum them up
|
class |
WeightedPolynomialMixingKernel
weighted polynomial mixing kernel:
(\sum w_i * k(x_i, y_i) \div \sum w_i ) ^ l
Apply the delegate kernel to the respective 'parts' of this node (x_i,
y_i)
Multiply the result by the weight (w_i * k(x_i,y_i))
Sum everything up, divide by the sum of the weights
take the power of everything to l
WeightedPolynomialMixingKernel.pow the power to raise things to
WeightedPolynomialMixingKernel.attributeKey the children of this node form a 'vector'. |
Modifier and Type | Method and Description |
---|---|
Kernel |
ConvolutionKernel.getDelegateKernel() |
Kernel |
NodeAttributeKernel.getDelegateKernel() |
Kernel |
NormKernel.getDelegateKernel() |
Kernel |
WeightedPolynomialMixingKernel.getDelegateKernel() |
Kernel |
CorpusKernelEvaluatorImpl.getInstanceKernel() |
Modifier and Type | Method and Description |
---|---|
List<Kernel> |
ProductKernel.getDelegateKernels() |
List<Kernel> |
SumKernel.getDelegateKernels() |
Modifier and Type | Method and Description |
---|---|
void |
ConvolutionKernel.setDelegateKernel(Kernel delegateKernel) |
void |
NodeAttributeKernel.setDelegateKernel(Kernel delegateKernel) |
void |
NormKernel.setDelegateKernel(Kernel delegateKernel) |
void |
WeightedPolynomialMixingKernel.setDelegateKernel(Kernel delegateKernel) |
void |
CorpusKernelEvaluatorImpl.setInstanceKernel(Kernel instanceKernel) |
Modifier and Type | Method and Description |
---|---|
void |
ProductKernel.setDelegateKernels(List<Kernel> delegateKernels) |
void |
SumKernel.setDelegateKernels(List<Kernel> delegateKernels) |
Constructor and Description |
---|
NormKernel(Kernel delegateKernel) |
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