Object/Class

com.salesforce.op.testkit

RandomReal

Related Docs: class RandomReal | package testkit

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object RandomReal extends Serializable

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Serializable, Serializable, AnyRef, Any
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Type Members

  1. class NormalDistribution extends RandomDataGenerator[Double]

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  2. class UniformDistribution extends RandomDataGenerator[Double]

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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 exponential[DataType <: Real](mean: Double = 0.0)(implicit arg0: scala.reflect.api.JavaUniverse.WeakTypeTag[DataType]): RandomReal[DataType]

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    Generator of real-number feature types with exponential distribution

    Generator of real-number feature types with exponential distribution

    DataType

    the type of data

    mean

    the mean of the distribution

    returns

    a generator of reals

  9. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  10. def gamma[DataType <: Real](shape: Double = 5.0, scale: Double = 1.0)(implicit arg0: scala.reflect.api.JavaUniverse.WeakTypeTag[DataType]): RandomReal[DataType]

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    Generator of real-number feature types with gamma distribution

    Generator of real-number feature types with gamma distribution

    DataType

    the type of data

    shape

    the shape parameter of the distribution

    scale

    the scale parameter of the distribution

    returns

    a generator of reals

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def logNormal[DataType <: Real](mean: Double = 0.0, sigma: Double = 1.0)(implicit arg0: scala.reflect.api.JavaUniverse.WeakTypeTag[DataType]): RandomReal[DataType]

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    Generator of real-number feature types with log-normal distribution

    Generator of real-number feature types with log-normal distribution

    DataType

    the type of data

    mean

    the mean of the distribution

    sigma

    the standard deviation of the distribution

    returns

    a generator of reals

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

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    Definition Classes
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  16. def normal[DataType <: Real](mean: Double = 0.0, sigma: Double = 1.0)(implicit arg0: scala.reflect.api.JavaUniverse.WeakTypeTag[DataType]): RandomReal[DataType]

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    Generator of real-number feature types with normal distribution

    Generator of real-number feature types with normal distribution

    DataType

    the type of data

    mean

    the mean of the distribution

    sigma

    the standard deviation of the distribution

    returns

    a generator of reals

  17. final def notify(): Unit

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    Definition Classes
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  18. final def notifyAll(): Unit

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  19. def poisson[DataType <: Real](mean: Double = 0.0)(implicit arg0: scala.reflect.api.JavaUniverse.WeakTypeTag[DataType]): RandomReal[DataType]

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    Generator of real-number feature types with poisson distribution

    Generator of real-number feature types with poisson distribution

    DataType

    the type of data

    mean

    the mean of the distribution

    returns

    a generator of reals

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

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    Definition Classes
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  21. def toString(): String

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  22. def uniform[DataType <: Real](minValue: Double = 0.0, maxValue: Double = 1.0)(implicit arg0: scala.reflect.api.JavaUniverse.WeakTypeTag[DataType]): RandomReal[DataType]

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    Generator of real-number feature types with uniform distribution

    Generator of real-number feature types with uniform distribution

    DataType

    the type of data

    minValue

    lower bound of the values range

    maxValue

    upper bound of the values range

    returns

    a generator of reals

  23. final def wait(): Unit

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    @throws( ... )

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

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

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    @throws( ... )

  26. def weibull[DataType <: Real](alpha: Double = 1.0, beta: Double = 5.0)(implicit arg0: scala.reflect.api.JavaUniverse.WeakTypeTag[DataType]): RandomReal[DataType]

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    Generator of real-number feature types with Weibull distribution

    Generator of real-number feature types with Weibull distribution

    DataType

    the type of data

    alpha

    the alpha parameter of the distribution

    beta

    the beta parameter of the distribution

    returns

    a generator of reals

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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