Package | Description |
---|---|
com.structed.models | |
com.structed.models.loss |
Modifier and Type | Field and Description |
---|---|
ITaskLoss |
ClassifierData.taskLoss |
Modifier and Type | Method and Description |
---|---|
void |
StructEDModel.setTaskLoss(ITaskLoss taskLoss) |
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 |
TaskLossDummyData
Dummy Task Loss example
|
class |
TaskLossMultiClass
MNIST Task Loss example - 0/1 implementation
|
class |
TaskLossOCR
Loss function for the OCR task
Created by yossiadi on 7/18/15.
|
class |
TaskLossRank |
class |
TaskLossVowelDuration
Vowel Duration Task Loss example
The implementation is: max{0, |ys - ys'| - epsilon} + max{0, |ye - ye'| - epsilon}
|