Package | Description |
---|---|
com.structed.data.featurefunctions | |
com.structed.models | |
com.structed.models.kernels |
Modifier and Type | Method and Description |
---|---|
Example |
IFeatureFunctions.convert(Example vector,
java.lang.String label,
IKernel kernel) |
Example |
FeatureFunctionsVowelDuration.convert(Example example,
java.lang.String label,
IKernel kernel) |
Example |
FeatureFunctionsSparse.convert(Example vector,
java.lang.String label,
IKernel kernel) |
Example |
FeatureFunctionsRank.convert(Example vector,
java.lang.String label,
IKernel kernel) |
Example |
FeatureFunctionsOCR.convert(Example vector,
java.lang.String label,
IKernel kernel) |
Example |
FeatureFunctionsDummy.convert(Example vector,
java.lang.String label,
IKernel kernel) |
Modifier and Type | Field and Description |
---|---|
IKernel |
ClassifierData.kernel |
Modifier and Type | Method and Description |
---|---|
void |
StructEDModel.setKernel(IKernel kernel) |
Constructor and Description |
---|
StructEDModel(Vector init_weights,
IUpdateRule updateRule,
ITaskLoss taskLoss,
IInference inference,
IKernel kernel,
IFeatureFunctions phi,
java.util.ArrayList<java.lang.Double> args) |
StructEDModel(Vector init_weights,
IUpdateRule updateRule,
ITaskLoss taskLoss,
IInference inference,
IKernel kernel,
IFeatureFunctions phi,
java.util.ArrayList<java.lang.Double> args,
boolean isShuffle) |
Modifier and Type | Class and Description |
---|---|
class |
Poly2Kernel
Poly 2 kernel
|
class |
RBF2Kernel
RBF 2nd approximation
|
class |
RBF3Kernel
RBF 3rd approximation
|