Packages

c

org.apache.spark.mllib.random

LogNormalGenerator

class LogNormalGenerator extends RandomDataGenerator[Double]

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

Annotations
@Since( "1.3.0" )
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
  2. All

Instance Constructors

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

    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
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. def copy(): LogNormalGenerator

    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
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. val mean: Double
    Annotations
    @Since( "1.3.0" )
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. def nextValue(): Double

    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" )
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  17. def setSeed(seed: Long): Unit
    Definition Classes
    LogNormalGenerator → Pseudorandom
    Annotations
    @Since( "1.3.0" )
  18. val std: Double
    Annotations
    @Since( "1.3.0" )
  19. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  20. def toString(): String
    Definition Classes
    AnyRef → Any
  21. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from RandomDataGenerator[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Pseudorandom

Inherited from AnyRef

Inherited from Any

Ungrouped