GaussianCriterion

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

5. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. def backward(input: Table, target: Tensor[T]): Table

   Performs a back-propagation step through the criterion, with respect to the given input.

   Performs a back-propagation step through the criterion, with respect to the given input.

   input

   input data

   target

   target

   returns

   gradient corresponding to input data

   Definition Classes

   AbstractCriterion

8. def canEqual(other: Any): Boolean

   Definition Classes

   AbstractCriterion

9. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10. def cloneCriterion(): AbstractCriterion[Table, Tensor[T], T]

    Deep copy this criterion

    Deep copy this criterion

    returns

    a deep copied criterion

    Definition Classes

    AbstractCriterion

11. final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

12. def equals(other: Any): Boolean

    Definition Classes

    AbstractCriterion → AnyRef → Any

13. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

14. def forward(input: Table, target: Tensor[T]): T

    Takes an input object, and computes the corresponding loss of the criterion, compared with target.

    Takes an input object, and computes the corresponding loss of the criterion, compared with target.

    input

    input data

    target

    target

    returns

    the loss of criterion

    Definition Classes

    AbstractCriterion

15. final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

16. var gradInput: Table

    Definition Classes

    AbstractCriterion

17. def hashCode(): Int

    Definition Classes

    AbstractCriterion → AnyRef → Any

18. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

19. final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

20. final def notify(): Unit

    Definition Classes

    AnyRef

21. final def notifyAll(): Unit

    Definition Classes

    AnyRef

22. var output: T

    Definition Classes

    AbstractCriterion

23. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

24. def toString(): String

    Definition Classes

    AnyRef → Any

25. def updateGradInput(input: Table, target: Tensor[T]): Table

    Computing the gradient of the criterion with respect to its own input.

    Computing the gradient of the criterion with respect to its own input. This is returned in gradInput. Also, the gradInput state variable is updated accordingly.

    input

    input data

    target

    target data / labels

    returns

    gradient of input

    Definition Classes

    GaussianCriterion → AbstractCriterion

26. def updateOutput(input: Table, target: Tensor[T]): T

    Computes the loss using input and objective function.

    Computes the loss using input and objective function. This function returns the result which is stored in the output field.

    input

    input of the criterion

    target

    target or labels

    returns

    the loss of the criterion

    Definition Classes

    GaussianCriterion → AbstractCriterion

27. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

28. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

29. final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )