Object/Class

com.ibm.sparktc.sparkbench.datageneration.mlgenerator

LinearRegressionDataGen

Related Docs: class LinearRegressionDataGen | package mlgenerator

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object LinearRegressionDataGen extends WorkloadDefaults with Serializable

Linear Supertypes
Serializable, Serializable, WorkloadDefaults, AnyRef, Any
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Inherited
  1. LinearRegressionDataGen
  2. Serializable
  3. Serializable
  4. WorkloadDefaults
  5. AnyRef
  6. Any
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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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  3. final def ==(arg0: Any): Boolean

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  4. def apply(m: Map[String, Any]): LinearRegressionDataGen

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    Definition Classes
    LinearRegressionDataGen → WorkloadDefaults

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

  7. val eps: Double

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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

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  12. def hashCode(): Int

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  13. val intercepts: Double

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  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  15. val maxIteration: Int

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  16. val name: String

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    Definition Classes
    LinearRegressionDataGen → WorkloadDefaults

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

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    AnyRef

  18. final def notify(): Unit

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    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

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  20. val numOfExamples: Int

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  21. val numOfFeatures: Int

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  22. val numOfPartitions: Int

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

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  24. def toString(): String

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  25. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from WorkloadDefaults

Inherited from AnyRef

Inherited from Any

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