c

com.datasolvr.services.spark.functions

LinearRegressionResult

case class LinearRegressionResult(beta: Double, alpha: Double, sigma: Double, beta_se: Double, alpha_se: Double, beta_p_score: Double, alpha_p_score: Double, size: Int, xMean: Double, xSquaredMeanDiff: Double) extends Product with Serializable

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Serializable, Serializable, Product, Equals, AnyRef, Any
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Inherited
  1. LinearRegressionResult
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. AnyRef
  7. Any
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Visibility
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Instance Constructors

  1. new LinearRegressionResult(beta: Double, alpha: Double, sigma: Double, beta_se: Double, alpha_se: Double, beta_p_score: Double, alpha_p_score: Double, size: Int, xMean: Double, xSquaredMeanDiff: Double)

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. val alpha: Double
  5. val alpha_p_score: Double
  6. val alpha_se: Double
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. val beta: Double
  9. val beta_p_score: Double
  10. val beta_se: Double
  11. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def estimate(x: Double): Double
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. def likelihood(x: Double, y: Double): Double
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  20. val sigma: Double
  21. val size: Int
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. val xMean: Double
  27. val xSquaredMeanDiff: Double

Deprecated Value Members

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

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