c

epic.dense

AdadeltaGradientDescentDVD

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)

Type Members

  1. case class History(squaredGradientsHistory: DenseVector[Double], squaredUpdatesHistory: DenseVector[Double]) extends Product with Serializable
  2. type State = breeze.optimize.FirstOrderMinimizer.State[DenseVector[Double], 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: DenseVector[Double], newGrad: DenseVector[Double], newVal: Double): (Double, DenseVector[Double])
    Attributes
    protected
    Definition Classes
    AdadeltaGradientDescentDVD → FirstOrderMinimizer
  5. def adjustFunction(f: StochasticDiffFunction[DenseVector[Double]]): StochasticDiffFunction[DenseVector[Double]]
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def calculateObjective(f: StochasticDiffFunction[DenseVector[Double]], x: DenseVector[Double], history: History): (Double, DenseVector[Double])
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  8. def chooseDescentDirection(state: State, fn: StochasticDiffFunction[DenseVector[Double]]): DenseVector[Double]
    Attributes
    protected
    Definition Classes
    StochasticGradientDescent → FirstOrderMinimizer
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate() @throws( ... )
  10. val convergenceCheck: ConvergenceCheck[DenseVector[Double]]
    Definition Classes
    FirstOrderMinimizer
  11. val defaultStepSize: Double
    Definition Classes
    StochasticGradientDescent
  12. val delta: Double
  13. def determineStepSize(state: State, f: StochasticDiffFunction[DenseVector[Double]], dir: DenseVector[Double]): Double
    Definition Classes
    AdadeltaGradientDescentDVD → StochasticGradientDescent → FirstOrderMinimizer
  14. val epsilon: Double
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  18. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  19. def infiniteIterations(f: StochasticDiffFunction[DenseVector[Double]], state: State): Iterator[State]
    Definition Classes
    FirstOrderMinimizer
  20. def initialHistory(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): History
    Definition Classes
    AdadeltaGradientDescentDVD → FirstOrderMinimizer
  21. def initialState(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): State
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  22. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  23. def iterations(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): Iterator[State]
    Definition Classes
    FirstOrderMinimizer
  24. def logger: LazyLogger
    Attributes
    protected
    Definition Classes
    SerializableLogging
  25. val maxIter: Int
    Definition Classes
    StochasticGradientDescent
  26. def minimize(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): DenseVector[Double]
    Definition Classes
    FirstOrderMinimizer → Minimizer
  27. def minimizeAndReturnState(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): State
    Definition Classes
    FirstOrderMinimizer
  28. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  29. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  30. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  31. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  32. def takeStep(state: State, dir: DenseVector[Double], stepSize: Double): DenseVector[Double]
    Attributes
    protected
    Definition Classes
    AdadeltaGradientDescentDVD → StochasticGradientDescent → FirstOrderMinimizer
  33. def toString(): String
    Definition Classes
    AnyRef → Any
  34. def updateHistory(newX: DenseVector[Double], newGrad: DenseVector[Double], newValue: Double, f: StochasticDiffFunction[DenseVector[Double]], oldState: State): History
    Definition Classes
    AdadeltaGradientDescentDVD → FirstOrderMinimizer
  35. implicit val vspace: NormedModule[DenseVector[Double], Double]
    Attributes
    protected
    Definition Classes
    StochasticGradientDescent
  36. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  38. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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

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