breeze.optimize

OWLQN

class OWLQN[K, T] extends LBFGS[T] with SerializableLogging

Implements the Orthant-wise Limited Memory QuasiNewton method, which is a variant of LBFGS that handles L1 regularization.

Paper is Andrew and Gao (2007) Scalable Training of L1-Regularized Log-Linear Models

Linear Supertypes
LBFGS[T], FirstOrderMinimizer[T, DiffFunction[T]], SerializableLogging, Serializable, Serializable, Minimizer[T, DiffFunction[T]], AnyRef, Any
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Inherited
  1. OWLQN
  2. LBFGS
  3. FirstOrderMinimizer
  4. SerializableLogging
  5. Serializable
  6. Serializable
  7. Minimizer
  8. AnyRef
  9. Any
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  1. Public
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Instance Constructors

  1. new OWLQN(maxIter: Int, m: Int)(implicit space: MutableEnumeratedCoordinateField[T, K, Double])

  2. new OWLQN(maxIter: Int, m: Int, l1reg: Double)(implicit space: MutableEnumeratedCoordinateField[T, K, Double])

  3. new OWLQN(maxIter: Int, m: Int, l1reg: Double, tolerance: Double = 1E-8)(implicit space: MutableEnumeratedCoordinateField[T, K, Double])

  4. new OWLQN(maxIter: Int, m: Int, l1reg: (K) ⇒ Double)(implicit space: MutableEnumeratedCoordinateField[T, K, Double])

  5. new OWLQN(maxIter: Int, m: Int, l1reg: (K) ⇒ Double, tolerance: Double)(implicit space: MutableEnumeratedCoordinateField[T, K, Double])

  6. new OWLQN(convergenceCheck: ConvergenceCheck[T], m: Int, l1reg: (K) ⇒ Double)(implicit space: MutableEnumeratedCoordinateField[T, K, Double])

Type Members

  1. type History = ApproximateInverseHessian[T]

    Any history the derived minimization function needs to do its updates.

    Any history the derived minimization function needs to do its updates. typically an approximation to the second derivative/hessian matrix.

    Definition Classes
    LBFGS → FirstOrderMinimizer

  2. type State = FirstOrderMinimizer.State[T, Info, History]

    Definition Classes
    FirstOrderMinimizer

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. def adjust(newX: T, newGrad: T, newVal: Double): (Double, T)

    Attributes
    protected
    Definition Classes
    OWLQN → FirstOrderMinimizer

  7. def adjustFunction(f: DiffFunction[T]): DiffFunction[T]

    Attributes
    protected
    Definition Classes
    LBFGS → FirstOrderMinimizer

  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  9. def calculateObjective(f: DiffFunction[T], x: T, history: History): (Double, T)

    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  10. def chooseDescentDirection(state: State, fn: DiffFunction[T]): T

    Attributes
    protected
    Definition Classes
    OWLQN → LBFGS → FirstOrderMinimizer

  11. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  12. def determineStepSize(state: State, f: DiffFunction[T], dir: T): Double

    Given a direction, perform a line search to find a step size to descend.

    Given a direction, perform a line search to find a step size to descend. The result fulfills the wolfe conditions.

    state

    the current state

    f

    The objective

    dir

    The step direction

    returns

    stepSize

    Attributes
    protected
    Definition Classes
    OWLQN → LBFGS → FirstOrderMinimizer

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

    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  15. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  17. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  18. def infiniteIterations(f: DiffFunction[T], state: State): Iterator[State]

    Definition Classes
    FirstOrderMinimizer

  19. def initialHistory(f: DiffFunction[T], x: T): History

    Attributes
    protected
    Definition Classes
    LBFGS → FirstOrderMinimizer

  20. def initialState(f: DiffFunction[T], init: T): State

    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  21. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  22. def iterations(f: DiffFunction[T], init: T): Iterator[State]

    Definition Classes
    FirstOrderMinimizer

  23. def logger: LazyLogger

    Attributes
    protected
    Definition Classes
    SerializableLogging

  24. def minimize(f: DiffFunction[T], init: T): T

    Definition Classes
    FirstOrderMinimizer → Minimizer

  25. def minimizeAndReturnState(f: DiffFunction[T], init: T): State

    Definition Classes
    FirstOrderMinimizer

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

    Definition Classes
    AnyRef

  27. final def notify(): Unit

    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  30. def takeStep(state: State, dir: T, stepSize: Double): T

    Attributes
    protected
    Definition Classes
    OWLQN → LBFGS → FirstOrderMinimizer

  31. def toString(): String

    Definition Classes
    AnyRef → Any

  32. def updateHistory(newX: T, newGrad: T, newVal: Double, f: DiffFunction[T], oldState: State): History

    Attributes
    protected
    Definition Classes
    LBFGS → FirstOrderMinimizer

  33. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from LBFGS[T]

Inherited from FirstOrderMinimizer[T, DiffFunction[T]]

Inherited from SerializableLogging

Inherited from Serializable

Inherited from Serializable

Inherited from Minimizer[T, DiffFunction[T]]

Inherited from AnyRef

Inherited from Any

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