Class

com.cra.figaro.experimental.particlebp

AutomaticDensityEstimator

Related Doc: package particlebp

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class AutomaticDensityEstimator extends DensityEstimator with NormalKernelDensityEstimator

Class to compute the normal kernel density estimation of a set of samples using Silverman's rule of thumb to automatically compute the bandwidth.

Linear Supertypes
NormalKernelDensityEstimator, IntDensityEstimator, DoubleDensityEstimator, DensityEstimator, AnyRef, Any
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Inherited
  1. AutomaticDensityEstimator
  2. NormalKernelDensityEstimator
  3. IntDensityEstimator
  4. DoubleDensityEstimator
  5. DensityEstimator
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new AutomaticDensityEstimator()

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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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

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

  9. def getBandwidth(samples: List[(Double, Double)]): Double

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    Get the bandwidth to use for the normal kernel for this set of samples

    Get the bandwidth to use for the normal kernel for this set of samples

    Definition Classes
    AutomaticDensityEstimator → NormalKernelDensityEstimator

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

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    Definition Classes
    AnyRef → Any

  11. def getDensity(pt: Any, samples: List[(Double, Any)]): Double

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    Get's the density of a point from a list of weighted samples

    Get's the density of a point from a list of weighted samples

    Definition Classes
    NormalKernelDensityEstimator → DensityEstimator

  12. def getDensity(pt: Int, samples: List[(Double, Int)]): Double

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    Definition Classes
    NormalKernelDensityEstimator → IntDensityEstimator

  13. def getDensity(pt: Double, samples: List[(Double, Double)]): Double

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    Definition Classes
    NormalKernelDensityEstimator → DoubleDensityEstimator

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    AnyRef

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

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    Definition Classes
    AnyRef

  20. def toString(): String

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    Definition Classes
    AnyRef → Any

  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from NormalKernelDensityEstimator

Inherited from IntDensityEstimator

Inherited from DoubleDensityEstimator

Inherited from DensityEstimator

Inherited from AnyRef

Inherited from Any

Ungrouped