Class

org.apache.spark.mllib.random

LogNormalGenerator

Related Doc: package random

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class LogNormalGenerator extends RandomDataGenerator[Double]

:: DeveloperApi :: Generates i.i.d. samples from the log normal distribution with the given mean and standard deviation.

Annotations
@DeveloperApi() @Since( "1.3.0" )
Source
RandomDataGenerator.scala
Linear Supertypes
RandomDataGenerator[Double], Serializable, Serializable, Pseudorandom, AnyRef, Any
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Inherited
  1. LogNormalGenerator
  2. RandomDataGenerator
  3. Serializable
  4. Serializable
  5. Pseudorandom
  6. AnyRef
  7. Any
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Visibility
  1. Public
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Instance Constructors

  1. new LogNormalGenerator(mean: Double, std: Double)

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    mean

    mean for the log normal distribution.

    std

    standard deviation for the log normal distribution

    Annotations
    @Since( "1.3.0" )

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. def copy(): LogNormalGenerator

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    Returns a copy of the RandomDataGenerator with a new instance of the rng object used in the class when applicable for non-locking concurrent usage.

    Returns a copy of the RandomDataGenerator with a new instance of the rng object used in the class when applicable for non-locking concurrent usage.

    Definition Classes
    LogNormalGenerator → RandomDataGenerator
    Annotations
    @Since( "1.3.0" )

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

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. val mean: Double

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    mean for the log normal distribution.

    mean for the log normal distribution.

    Annotations
    @Since( "1.3.0" )

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

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    Definition Classes
    AnyRef

  15. def nextValue(): Double

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    Returns an i.i.d.

    Returns an i.i.d. sample as a generic type from an underlying distribution.

    Definition Classes
    LogNormalGenerator → RandomDataGenerator
    Annotations
    @Since( "1.3.0" )

  16. final def notify(): Unit

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    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  18. def setSeed(seed: Long): Unit

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    Set random seed.

    Set random seed.

    Definition Classes
    LogNormalGenerator → Pseudorandom
    Annotations
    @Since( "1.3.0" )

  19. val std: Double

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    standard deviation for the log normal distribution

    standard deviation for the log normal distribution

    Annotations
    @Since( "1.3.0" )

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

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    Definition Classes
    AnyRef

  21. def toString(): String

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    Definition Classes
    AnyRef → Any

  22. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RandomDataGenerator[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Pseudorandom

Inherited from AnyRef

Inherited from Any

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