Regression

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. def apply(labelField: String, dataFields: String*): Regression

7. final def asInstanceOf[T0]: T0

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8. def buildModel(config: RegressionConfig, slice: RDD[LabeledPoint]): GeneralizedLinearModel

   Builds the regression model.

   Builds the regression model.

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9. def clone(): AnyRef

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   protected[java.lang]

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

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11. def equals(arg0: Any): Boolean

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12. def finalize(): Unit

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    protected[java.lang]

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

13. def findMaxValues(points: RDD[LabeledPoint]): (Double, IndexedSeq[Double])

    Finds the maximum magnitude for the label and features.

    Finds the maximum magnitude for the label and features.

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14. def fromJson(json: JValue): Regression

15. def fromXml(xml: Node): Regression

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

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17. def hashCode(): Int

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18. final def isInstanceOf[T0]: Boolean

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

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20. final def notify(): Unit

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21. final def notifyAll(): Unit

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22. val rddSizeThreshold: Int

23. val rowsPerKeyThreshold: Int

24. def solveWithCommons(slice: RDD[LabeledPoint]): (Seq[Double], Double, Double)

    Builds a model with Apache Commons Math and returns (weights, intercept, r-squared)

25. def solveWithMLLib(config: RegressionConfig)(slice: RDD[LabeledPoint]): (Seq[Double], Double, Double)

    Builds a model with MLLib and returns (weights, intercept, r-squared)

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

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27. val tag: String

28. def toString(): String

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29. final def wait(): Unit

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

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

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