Class

io.github.mandar2812.dynaml.optimization

CommitteeModelSolver

Related Doc: package optimization

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class CommitteeModelSolver extends RegularizedOptimizer[DenseVector[Double], DenseVector[Double], Double, Stream[(DenseVector[Double], Double)]]

Solves the optimization problem pertaining to the weights of a committee model.

Linear Supertypes
RegularizedOptimizer[DenseVector[Double], DenseVector[Double], Double, Stream[(DenseVector[Double], Double)]], Optimizer[DenseVector[Double], DenseVector[Double], Double, Stream[(DenseVector[Double], Double)]], Serializable, Serializable, AnyRef, Any
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Inherited
  1. CommitteeModelSolver
  2. RegularizedOptimizer
  3. Optimizer
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
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Instance Constructors

  1. new CommitteeModelSolver()

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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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    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
    Definition Classes
    RegularizedOptimizer

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

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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
    Definition Classes
    RegularizedOptimizer

  17. def optimize(nPoints: Long, ParamOutEdges: Stream[(DenseVector[Double], Double)], initialP: DenseVector[Double]): DenseVector[Double]

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    Solve the convex optimization problem.

    Solve the convex optimization problem.

    min wT.C.w such that ||w||1 = 1

    Definition Classes
    CommitteeModelSolver → Optimizer

  18. var regParam: Double

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    Attributes
    protected
    Definition Classes
    RegularizedOptimizer

  19. def setMiniBatchFraction(fraction: Double): CommitteeModelSolver.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)

    Definition Classes
    RegularizedOptimizer

  20. def setNumIterations(iters: Int): CommitteeModelSolver.this.type

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    Set the number of iterations for SGD.

    Set the number of iterations for SGD. Default 100.

    Definition Classes
    RegularizedOptimizer

  21. def setRegParam(regParam: Double): CommitteeModelSolver.this.type

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    Set the regularization parameter.

    Set the regularization parameter. Default 0.0.

    Definition Classes
    RegularizedOptimizer

  22. def setStepSize(step: Double): CommitteeModelSolver.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)

    Definition Classes
    RegularizedOptimizer

  23. var stepSize: Double

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    Attributes
    protected
    Definition Classes
    RegularizedOptimizer

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

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  25. def toString(): String

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  26. final def wait(): Unit

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

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

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Inherited from RegularizedOptimizer[DenseVector[Double], DenseVector[Double], Double, Stream[(DenseVector[Double], Double)]]

Inherited from Optimizer[DenseVector[Double], DenseVector[Double], Double, Stream[(DenseVector[Double], Double)]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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