Class/Object

io.github.mandar2812.dynaml.optimization

MixtureMachine

Related Docs: object MixtureMachine | package optimization

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abstract class MixtureMachine[T, I, Y, YDomain, YDomainVar, BaseDistr <: ContinuousDistr[YDomain] with Moments[YDomain, YDomainVar] with HasErrorBars[YDomain], W1 <: ContinuousRVWithDistr[YDomain, BaseDistr], BaseProcess <: ContinuousProcessModel[T, I, Y, W1] with SecondOrderProcessModel[T, I, Y, Double, DenseMatrix[Double], W1] with GloballyOptimizable] extends AbstractCSA[BaseProcess, GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]]

Linear Supertypes
AbstractCSA[BaseProcess, GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]], AbstractGridSearch[BaseProcess, GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]], ModelTuner[BaseProcess, GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]], AnyRef, Any
Known Subclasses
GPMixtureMachine
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Inherited
  1. MixtureMachine
  2. AbstractCSA
  3. AbstractGridSearch
  4. ModelTuner
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MixtureMachine(model: BaseProcess)(implicit arg0: ClassTag[I])

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Abstract Value Members

  1. abstract val confToModel: DataPipe[Map[String, Double], BaseProcess]

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  2. abstract val mixturePipe: DataPipe2[Seq[BaseProcess], DenseVector[Double], GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]]

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Concrete 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. var baselinePolicy: String

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    Attributes
    protected

  10. def calculateEnergyLandscape(initialConfig: Map[String, Double], options: Map[String, String]): Seq[(Double, Map[String, Double])]

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    Attributes
    protected

  11. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  14. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  16. 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

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

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    Definition Classes
    ModelTuner

  18. var gridsize: Int

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    Attributes
    protected
    Definition Classes
    ModelTuner

  19. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  20. var iTemp: Double

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    Definition Classes
    AbstractCSA

  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  22. var logarithmicScale: Boolean

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    Attributes
    protected
    Definition Classes
    ModelTuner

  23. val logger: Logger

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    Attributes
    protected
    Definition Classes
    AbstractGridSearch → ModelTuner

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

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    Attributes
    protected
    Definition Classes
    ModelTuner

  25. def modelProbabilities: DataPipe[Seq[(Double, Map[String, Double])], Seq[(Double, Map[String, Double])]]

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    Attributes
    protected

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

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    Attributes
    protected
    Definition Classes
    AbstractCSA

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

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    Definition Classes
    AbstractCSA

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

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    Definition Classes
    AnyRef

  29. final def notify(): Unit

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    Definition Classes
    AnyRef

  30. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  31. var num_samples: Int

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    Attributes
    protected
    Definition Classes
    ModelTuner

  32. def optimize(initialConfig: Map[String, Double], options: Map[String, String]): (GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess], Map[String, Double])

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    Definition Classes
    MixtureMachine → ModelTuner

  33. 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

  34. var policy: String

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    Attributes
    protected

  35. def setBaseLinePolicy(p: String): MixtureMachine.this.type

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  36. def setGridSize(s: Int): MixtureMachine.this.type

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    Definition Classes
    AbstractCSA → AbstractGridSearch → ModelTuner

  37. def setLogScale(t: Boolean): MixtureMachine.this.type

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    Definition Classes
    AbstractCSA → AbstractGridSearch → ModelTuner

  38. def setMaxIterations(m: Int): MixtureMachine.this.type

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    Definition Classes
    AbstractCSA

  39. def setNumSamples(n: Int): MixtureMachine.this.type

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    Definition Classes
    ModelTuner

  40. def setPolicy(p: String): MixtureMachine.this.type

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

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    Definition Classes
    ModelTuner

  42. def setStepSize(s: Double): MixtureMachine.this.type

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    Definition Classes
    AbstractCSA → AbstractGridSearch → ModelTuner

  43. def setVariant(v: String): MixtureMachine.this.type

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    Definition Classes
    AbstractCSA

  44. var step: Double

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    Attributes
    protected
    Definition Classes
    ModelTuner

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

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    Definition Classes
    AnyRef

  46. val system: BaseProcess

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    Definition Classes
    AbstractGridSearch → ModelTuner

  47. def toString(): String

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    Definition Classes
    AnyRef → Any

  48. var variant: String

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    Attributes
    protected
    Definition Classes
    AbstractCSA

  49. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AbstractCSA[BaseProcess, GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]]

Inherited from AbstractGridSearch[BaseProcess, GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]]

Inherited from ModelTuner[BaseProcess, GenContinuousMixtureModel[T, I, Y, YDomain, YDomainVar, BaseDistr, W1, BaseProcess]]

Inherited from AnyRef

Inherited from Any

Ungrouped