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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Visibility
  1. Public
  2. All

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])

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: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def adjust(newX: T, newGrad: T, newVal: Double): (Double, T)
    Attributes
    protected
    Definition Classes
    OWLQN → FirstOrderMinimizer
  5. def adjustFunction(f: DiffFunction[T]): DiffFunction[T]
    Attributes
    protected
    Definition Classes
    LBFGS → FirstOrderMinimizer
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def calculateObjective(f: DiffFunction[T], x: T, history: History): (Double, T)
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  8. def chooseDescentDirection(state: State, fn: DiffFunction[T]): T
    Attributes
    protected
    Definition Classes
    OWLQN → LBFGS → FirstOrderMinimizer
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. val convergenceCheck: ConvergenceCheck[T]
    Definition Classes
    FirstOrderMinimizer
  11. def determineStepSize(state: State, f: DiffFunction[T], dir: T): Double

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

    Given a direction, perform a line search to find a direction to descend. At the moment, this just executes backtracking, so it does not fulfill the wolfe conditions.

    state

    the current state

    f

    The objective

    dir

    The step direction

    returns

    stepSize

    Attributes
    protected
    Definition Classes
    OWLQN → LBFGS → FirstOrderMinimizer
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  17. def infiniteIterations(f: DiffFunction[T], state: State): Iterator[State]
    Definition Classes
    FirstOrderMinimizer
  18. def initialHistory(f: DiffFunction[T], x: T): History
    Attributes
    protected
    Definition Classes
    LBFGS → FirstOrderMinimizer
  19. def initialState(f: DiffFunction[T], init: T): State
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  20. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  21. def iterations(f: DiffFunction[T], init: T): Iterator[State]
    Definition Classes
    FirstOrderMinimizer
  22. def logger: LazyLogger
    Attributes
    protected
    Definition Classes
    SerializableLogging
  23. def minimize(f: DiffFunction[T], init: T): T
    Definition Classes
    FirstOrderMinimizer → Minimizer
  24. def minimizeAndReturnState(f: DiffFunction[T], init: T): State
    Definition Classes
    FirstOrderMinimizer
  25. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  26. final def notify(): Unit
    Definition Classes
    AnyRef
  27. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  28. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  29. def takeStep(state: State, dir: T, stepSize: Double): T
    Attributes
    protected
    Definition Classes
    OWLQN → LBFGS → FirstOrderMinimizer
  30. def toString(): String
    Definition Classes
    AnyRef → Any
  31. def updateHistory(newX: T, newGrad: T, newVal: Double, f: DiffFunction[T], oldState: State): History
    Attributes
    protected
    Definition Classes
    LBFGS → FirstOrderMinimizer
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. 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

Ungrouped