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com.spotify.featran.transformers

VonMisesEvaluator

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object VonMisesEvaluator extends SettingsBuilder with Serializable

Transform a column of continuous features that represent the mean of a von Mises distribution to n columns of continuous features. The number n represent the number of points to evaluate the von Mises distribution. The von Mises pdf is given by

f(x | mu, kappa, scale) = exp(kappa * cos(scale*(x-mu)) / (2*pi*Io(kappa))

and is only valid for x, mu in the interval [0, 2*pi/scale].

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  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. def apply(name: String, kappa: Double, scale: Double, points: Array[Double]): Transformer[Double, Unit, Unit]

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    Create a new VonMisesEvaluator instance.

    Create a new VonMisesEvaluator instance.

    kappa

    measure of concentration

    scale

    scaling factor

    points

    points to evaluate the distribution with

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  9. def finalize(): Unit

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  10. def fromSettings(setting: Settings): Transformer[Double, Unit, Unit]

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    Create a new VonMisesEvaluator from a settings object

    Create a new VonMisesEvaluator from a settings object

    setting

    Settings object

    Definition Classes
    VonMisesEvaluatorSettingsBuilder
  11. final def getClass(): Class[_]

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  12. def getProbability(x: Double, mu: Double, kappa: Double, scale: Double): Double

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  13. def hashCode(): Int

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