Class/Object

io.github.mandar2812.dynaml.optimization

ProbGPCommMachine

Related Docs: object ProbGPCommMachine | package optimization

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class ProbGPCommMachine[T, I] extends CoupledSimulatedAnnealing[AbstractGPRegressionModel[T, I]]

Build GP committee model after performing the CSA routine

Linear Supertypes
CoupledSimulatedAnnealing[AbstractGPRegressionModel[T, I]], GlobalOptimizer[AbstractGPRegressionModel[T, I]], AbstractCSA[AbstractGPRegressionModel[T, I], AbstractGPRegressionModel[T, I]], AbstractGridSearch[AbstractGPRegressionModel[T, I], AbstractGPRegressionModel[T, I]], ModelTuner[AbstractGPRegressionModel[T, I], AbstractGPRegressionModel[T, I]], AnyRef, Any
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Inherited
  1. ProbGPCommMachine
  2. CoupledSimulatedAnnealing
  3. GlobalOptimizer
  4. AbstractCSA
  5. AbstractGridSearch
  6. ModelTuner
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ProbGPCommMachine(model: AbstractGPRegressionModel[T, I])(implicit arg0: ClassTag[I])

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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. var MAX_ITERATIONS: Int

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    Attributes
    protected
    Definition Classes
    AbstractCSA

  5. def _policy: String

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  6. def acceptanceTemperature(initialTemp: Double)(k: Int): Double

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    Definition Classes
    AbstractCSA

  7. var alpha: Double

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    Definition Classes
    AbstractCSA

  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  9. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  14. def getEnergyLandscape(initialConfig: Map[String, Double], options: Map[String, String] = Map(), prior: Map[String, ContinuousRVWithDistr[Double, ContinuousDistr[Double]]] = Map()): List[(Double, Map[String, Double])]

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    Definition Classes
    ModelTuner

  15. def getGrid(initialConfig: Map[String, Double]): Seq[Map[String, Double]]

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    Definition Classes
    ModelTuner

  16. var gridsize: Int

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    Attributes
    protected
    Definition Classes
    ModelTuner

  17. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  18. var iTemp: Double

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    Definition Classes
    AbstractCSA

  19. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  20. var logarithmicScale: Boolean

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    Attributes
    protected
    Definition Classes
    ModelTuner

  21. val logger: Logger

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    Attributes
    protected
    Definition Classes
    AbstractGridSearch → ModelTuner

  22. var meanFieldPrior: Map[String, ContinuousRVWithDistr[Double, ContinuousDistr[Double]]]

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    Attributes
    protected
    Definition Classes
    ModelTuner

  23. val mutate: (Map[String, Double], Double) ⇒ Map[String, Double]

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    Attributes
    protected
    Definition Classes
    AbstractCSA

  24. def mutationTemperature(initialTemp: Double)(k: Int): Double

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    Definition Classes
    AbstractCSA

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

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    Definition Classes
    AnyRef

  26. final def notify(): Unit

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    Definition Classes
    AnyRef

  27. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  28. var num_samples: Int

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    Attributes
    protected
    Definition Classes
    ModelTuner

  29. def optimize(initialConfig: Map[String, Double], options: Map[String, String]): (AbstractGPRegressionModel[T, I], Map[String, Double])

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    Definition Classes
    ProbGPCommMachine → CoupledSimulatedAnnealing → ModelTuner

  30. def performCSA(initialConfig: Map[String, Double], options: Map[String, String] = Map()): List[(Double, Map[String, Double])]

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    Attributes
    protected
    Definition Classes
    AbstractCSA

  31. def setBaseLinePolicy(p: String): ProbGPCommMachine.this.type

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  32. def setGridSize(s: Int): ProbGPCommMachine.this.type

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    Definition Classes
    AbstractCSA → AbstractGridSearch → ModelTuner

  33. def setLogScale(t: Boolean): ProbGPCommMachine.this.type

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    Definition Classes
    AbstractCSA → AbstractGridSearch → ModelTuner

  34. def setMaxIterations(m: Int): ProbGPCommMachine.this.type

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    Definition Classes
    AbstractCSA

  35. def setNumSamples(n: Int): ProbGPCommMachine.this.type

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    Definition Classes
    ModelTuner

  36. def setPolicy(p: String): ProbGPCommMachine.this.type

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  37. def setPrior(p: Map[String, ContinuousRVWithDistr[Double, ContinuousDistr[Double]]]): ProbGPCommMachine.this.type

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    Definition Classes
    ModelTuner

  38. def setStepSize(s: Double): ProbGPCommMachine.this.type

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    Definition Classes
    AbstractCSA → AbstractGridSearch → ModelTuner

  39. def setVariant(v: String): ProbGPCommMachine.this.type

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    Definition Classes
    AbstractCSA

  40. var step: Double

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    Attributes
    protected
    Definition Classes
    ModelTuner

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

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    Definition Classes
    AnyRef

  42. val system: AbstractGPRegressionModel[T, I]

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    Definition Classes
    AbstractGridSearch → ModelTuner

  43. def toString(): String

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    Definition Classes
    AnyRef → Any

  44. var variant: String

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    Attributes
    protected
    Definition Classes
    AbstractCSA

  45. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from CoupledSimulatedAnnealing[AbstractGPRegressionModel[T, I]]

Inherited from GlobalOptimizer[AbstractGPRegressionModel[T, I]]

Inherited from AbstractCSA[AbstractGPRegressionModel[T, I], AbstractGPRegressionModel[T, I]]

Inherited from AbstractGridSearch[AbstractGPRegressionModel[T, I], AbstractGPRegressionModel[T, I]]

Inherited from ModelTuner[AbstractGPRegressionModel[T, I], AbstractGPRegressionModel[T, I]]

Inherited from AnyRef

Inherited from Any

Ungrouped