org.apache.spark.mllib.optimization

Gradient

abstract class Gradient extends Serializable

Class used to compute the gradient for a loss function, given a single data point.

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Known Subclasses
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. Hide All
  2. Show all
  1. Gradient
  2. Serializable
  3. Serializable
  4. AnyRef
  5. Any
Visibility
  1. Public
  2. All

Instance Constructors

  1. new Gradient()

Abstract Value Members

  1. abstract def compute(data: DoubleMatrix, label: Double, weights: DoubleMatrix): (DoubleMatrix, Double)

    Compute the gradient and loss given features of a single data point.

    Compute the gradient and loss given features of a single data point.

    data

    - Feature values for one data point. Column matrix of size nx1 where n is the number of features.

    label

    - Label for this data item.

    weights

    - Column matrix containing weights for every feature.

    returns

    A tuple of 2 elements. The first element is a column matrix containing the computed gradient and the second element is the loss computed at this data point.

Concrete 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 clone(): AnyRef

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()
  8. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()
  11. final def getClass(): java.lang.Class[_]

    Definition Classes
    AnyRef → Any
  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  15. final def notify(): Unit

    Definition Classes
    AnyRef
  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  17. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  18. def toString(): String

    Definition Classes
    AnyRef → Any
  19. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()
  20. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()
  21. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any