Class

io.github.mandar2812.dynaml.optimization

RegularizedOptimizer

Related Doc: package optimization

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abstract class RegularizedOptimizer[P, Q, R, S] extends Optimizer[P, Q, R, S] with Serializable

Linear Supertypes
Optimizer[P, Q, R, S], Serializable, Serializable, AnyRef, Any
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  1. RegularizedOptimizer
  2. Optimizer
  3. Serializable
  4. Serializable
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Instance Constructors

  1. new RegularizedOptimizer()

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Abstract Value Members

  1. abstract def optimize(nPoints: Long, ParamOutEdges: S, initialP: P): P

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    Solve the convex optimization problem.

    Solve the convex optimization problem.

    Definition Classes
    Optimizer

Concrete Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. var miniBatchFraction: Double

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    Attributes
    protected
  13. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. var numIterations: Int

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    Attributes
    protected
  17. var regParam: Double

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    Attributes
    protected
  18. def setMiniBatchFraction(fraction: Double): RegularizedOptimizer.this.type

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    Set fraction of data to be used for each SGD iteration.

    Set fraction of data to be used for each SGD iteration. Default 1.0 (corresponding to deterministic/classical gradient descent)

  19. def setNumIterations(iters: Int): RegularizedOptimizer.this.type

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    Set the number of iterations for SGD.

    Set the number of iterations for SGD. Default 100.

  20. def setRegParam(regParam: Double): RegularizedOptimizer.this.type

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    Set the regularization parameter.

    Set the regularization parameter. Default 0.0.

  21. def setStepSize(step: Double): RegularizedOptimizer.this.type

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    Set the initial step size of SGD for the first step.

    Set the initial step size of SGD for the first step. Default 1.0. In subsequent steps, the step size will decrease with stepSize/sqrt(t)

  22. var stepSize: Double

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

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  24. def toString(): String

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  25. final def wait(): Unit

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    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from Optimizer[P, Q, R, S]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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