org.apache.spark.mllib.optimization

LBFGS

class LBFGS extends Optimizer with Logging

:: DeveloperApi :: Class used to solve an optimization problem using Limited-memory BFGS. Reference: http://en.wikipedia.org/wiki/Limited-memory_BFGS

Annotations
@DeveloperApi()
Linear Supertypes
Logging, Optimizer, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. LBFGS
  2. Logging
  3. Optimizer
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LBFGS(gradient: Gradient, updater: Updater)

    gradient

    Gradient function to be used.

    updater

    Updater to be used to update weights after every iteration.

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[java.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[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  14. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  15. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

  16. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  17. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  18. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  19. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  20. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  21. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  22. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

  23. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  24. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  25. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  26. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    AnyRef

  28. final def notify(): Unit

    Definition Classes
    AnyRef

  29. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  30. def optimize(data: RDD[(Double, Vector)], initialWeights: Vector): Vector

    Solve the provided convex optimization problem.

    Solve the provided convex optimization problem.

    Definition Classes
    LBFGS → Optimizer

  31. def setConvergenceTol(tolerance: Double): LBFGS.this.type

    Set the convergence tolerance of iterations for L-BFGS.

    Set the convergence tolerance of iterations for L-BFGS. Default 1E-4. Smaller value will lead to higher accuracy with the cost of more iterations. This value must be nonnegative. Lower convergence values are less tolerant and therefore generally cause more iterations to be run.

  32. def setGradient(gradient: Gradient): LBFGS.this.type

    Set the gradient function (of the loss function of one single data example) to be used for L-BFGS.

  33. def setNumCorrections(corrections: Int): LBFGS.this.type

    Set the number of corrections used in the LBFGS update.

    Set the number of corrections used in the LBFGS update. Default 10. Values of numCorrections less than 3 are not recommended; large values of numCorrections will result in excessive computing time. 3 < numCorrections < 10 is recommended. Restriction: numCorrections > 0

  34. def setNumIterations(iters: Int): LBFGS.this.type

    Set the maximal number of iterations for L-BFGS.

    Set the maximal number of iterations for L-BFGS. Default 100.

  35. def setRegParam(regParam: Double): LBFGS.this.type

    Set the regularization parameter.

    Set the regularization parameter. Default 0.0.

  36. def setUpdater(updater: Updater): LBFGS.this.type

    Set the updater function to actually perform a gradient step in a given direction.

    Set the updater function to actually perform a gradient step in a given direction. The updater is responsible to perform the update from the regularization term as well, and therefore determines what kind or regularization is used, if any.

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

    Definition Classes
    AnyRef

  38. def toString(): String

    Definition Classes
    AnyRef → Any

  39. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def setMaxNumIterations(iters: Int): LBFGS.this.type

    Set the maximal number of iterations for L-BFGS.

    Set the maximal number of iterations for L-BFGS. Default 100.

    Annotations
    @deprecated
    Deprecated

    (Since version 1.1.0) use setNumIterations instead

Inherited from Logging

Inherited from Optimizer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped