Class

epic.dense

AdadeltaGradientDescentDVD

Related Doc: package dense

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class AdadeltaGradientDescentDVD extends StochasticGradientDescent[DenseVector[Double]]

Linear Supertypes
StochasticGradientDescent[DenseVector[Double]], FirstOrderMinimizer[DenseVector[Double], StochasticDiffFunction[DenseVector[Double]]], SerializableLogging, Serializable, Serializable, Minimizer[DenseVector[Double], StochasticDiffFunction[DenseVector[Double]]], AnyRef, Any
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Inherited
  1. AdadeltaGradientDescentDVD
  2. StochasticGradientDescent
  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 AdadeltaGradientDescentDVD(maxIter: Int, rho: Double = 0.95, tolerance: Double = 1E-5, minImprovementWindow: Int = 50)

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Type Members

  1. case class History(squaredGradientsHistory: DenseVector[Double], squaredUpdatesHistory: DenseVector[Double]) extends Product with Serializable

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  2. type State = breeze.optimize.FirstOrderMinimizer.State[DenseVector[Double], Info, History]

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    Definition Classes
    FirstOrderMinimizer

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def adjust(newX: DenseVector[Double], newGrad: DenseVector[Double], newVal: Double): (Double, DenseVector[Double])

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    Attributes
    protected
    Definition Classes
    AdadeltaGradientDescentDVD → FirstOrderMinimizer

  5. def adjustFunction(f: StochasticDiffFunction[DenseVector[Double]]): StochasticDiffFunction[DenseVector[Double]]

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    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def calculateObjective(f: StochasticDiffFunction[DenseVector[Double]], x: DenseVector[Double], history: History): (Double, DenseVector[Double])

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    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  8. def chooseDescentDirection(state: State, fn: StochasticDiffFunction[DenseVector[Double]]): DenseVector[Double]

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    Attributes
    protected
    Definition Classes
    StochasticGradientDescent → FirstOrderMinimizer

  9. def clone(): AnyRef

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

  10. val convergenceCheck: ConvergenceCheck[DenseVector[Double]]

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    Definition Classes
    FirstOrderMinimizer

  11. val defaultStepSize: Double

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    Definition Classes
    StochasticGradientDescent

  12. val delta: Double

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  13. def determineStepSize(state: State, f: StochasticDiffFunction[DenseVector[Double]], dir: DenseVector[Double]): Double

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    Definition Classes
    AdadeltaGradientDescentDVD → StochasticGradientDescent → FirstOrderMinimizer

  14. val epsilon: Double

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

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    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  17. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  19. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  20. def infiniteIterations(f: StochasticDiffFunction[DenseVector[Double]], state: State): Iterator[State]

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    Definition Classes
    FirstOrderMinimizer

  21. def initialHistory(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): History

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    Definition Classes
    AdadeltaGradientDescentDVD → FirstOrderMinimizer

  22. def initialState(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): State

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    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  23. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  24. def iterations(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): Iterator[State]

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    Definition Classes
    FirstOrderMinimizer

  25. def logger: LazyLogger

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    Attributes
    protected
    Definition Classes
    SerializableLogging

  26. val maxIter: Int

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    Definition Classes
    StochasticGradientDescent

  27. def minimize(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): DenseVector[Double]

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    Definition Classes
    FirstOrderMinimizer → Minimizer

  28. def minimizeAndReturnState(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): State

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    Definition Classes
    FirstOrderMinimizer

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

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    Definition Classes
    AnyRef

  30. final def notify(): Unit

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    Definition Classes
    AnyRef

  31. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef

  33. def takeStep(state: State, dir: DenseVector[Double], stepSize: Double): DenseVector[Double]

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    Attributes
    protected
    Definition Classes
    AdadeltaGradientDescentDVD → StochasticGradientDescent → FirstOrderMinimizer

  34. def toString(): String

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    Definition Classes
    AnyRef → Any

  35. def updateHistory(newX: DenseVector[Double], newGrad: DenseVector[Double], newValue: Double, f: StochasticDiffFunction[DenseVector[Double]], oldState: State): History

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    Definition Classes
    AdadeltaGradientDescentDVD → FirstOrderMinimizer

  36. implicit val vspace: NormedModule[DenseVector[Double], Double]

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    Attributes
    protected
    Definition Classes
    StochasticGradientDescent

  37. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from StochasticGradientDescent[DenseVector[Double]]

Inherited from FirstOrderMinimizer[DenseVector[Double], StochasticDiffFunction[DenseVector[Double]]]

Inherited from SerializableLogging

Inherited from Serializable

Inherited from Serializable

Inherited from Minimizer[DenseVector[Double], StochasticDiffFunction[DenseVector[Double]]]

Inherited from AnyRef

Inherited from Any

Ungrouped