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.  lazy val aic: Double

   Akaike Information Criterion (AIC) for the fitted model.

   Akaike Information Criterion (AIC) for the fitted model.

   Annotations

   @Since( "2.0.0" )

5.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

6.  def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @native() @throws( ... )

7.  lazy val degreesOfFreedom: Long

   Degrees of freedom.

   Degrees of freedom.

   Annotations

   @Since( "2.0.0" )

8.  lazy val deviance: Double

   The deviance for the fitted model.

   The deviance for the fitted model.

   Annotations

   @Since( "2.0.0" )

9.  lazy val dispersion: Double

   The dispersion of the fitted model.

   The dispersion of the fitted model. It is taken as 1.0 for the "binomial" and "poisson" families, and otherwise estimated by the residual Pearson's Chi-Squared statistic (which is defined as sum of the squares of the Pearson residuals) divided by the residual degrees of freedom.

   Annotations

   @Since( "2.0.0" )

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

    Definition Classes

    AnyRef

11.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

12.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

13.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

14.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

15.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

16.  val model: GeneralizedLinearRegressionModel

    Private copy of model to ensure Params are not modified outside this class.

    Private copy of model to ensure Params are not modified outside this class. Coefficients is not a deep copy, but that is acceptable.

    Attributes

    protected

    Note

    predictionCol must be set correctly before the value of model is set, and model must be set before predictions is set!

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

    Definition Classes

    AnyRef

18.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

19.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

20.  lazy val nullDeviance: Double

    The deviance for the null model.

    The deviance for the null model.

    Annotations

    @Since( "2.0.0" )

21.  lazy val numInstances: Long

    Number of instances in DataFrame predictions.

    Number of instances in DataFrame predictions.

    Annotations

    @Since( "2.2.0" )

22.  val predictionCol: String

    Field in "predictions" which gives the predicted value of each instance.

    Field in "predictions" which gives the predicted value of each instance. This is set to a new column name if the original model's predictionCol is not set.

    Annotations

    @Since( "2.0.0" )

23.  val predictions: DataFrame

    Predictions output by the model's transform method.

    Predictions output by the model's transform method.

    Annotations

    @Since( "2.0.0" )

24.  lazy val rank: Long

    The numeric rank of the fitted linear model.

    The numeric rank of the fitted linear model.

    Annotations

    @Since( "2.0.0" )

25.  lazy val residualDegreeOfFreedom: Long

    The residual degrees of freedom.

    The residual degrees of freedom.

    Annotations

    @Since( "2.0.0" )

26.  lazy val residualDegreeOfFreedomNull: Long

    The residual degrees of freedom for the null model.

    The residual degrees of freedom for the null model.

    Annotations

    @Since( "2.0.0" )

27.  def residuals(residualsType: String): DataFrame

    Get the residuals of the fitted model by type.

    Get the residuals of the fitted model by type.

    residualsType

    The type of residuals which should be returned. Supported options: deviance, pearson, working and response.

    Annotations

    @Since( "2.0.0" )

28.  def residuals(): DataFrame

    Get the default residuals (deviance residuals) of the fitted model.

    Get the default residuals (deviance residuals) of the fitted model.

    Annotations

    @Since( "2.0.0" )

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

    Definition Classes

    AnyRef

30.  def toString(): String

    Definition Classes

    AnyRef → Any

31.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

33.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )