StandardScaler

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

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

   Definition Classes

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

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

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

   Definition Classes

   AnyRef

9. def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

10. def execute(deps: Seq[Expression]): TransformerExpression

    Definition Classes

    EstimatorOperator → Operator

11. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

12. def fit(data: RDD[DenseVector[Double]]): StandardScalerModel

    Computes the mean and variance and stores as a model to be used for later scaling.

    Computes the mean and variance and stores as a model to be used for later scaling.

    data

    The data used to compute the mean and variance to build the transformation model.

    returns

    a StandardScalarModel

    Definition Classes

    StandardScaler → Estimator

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

    Definition Classes

    AnyRef → Any

14. def hashCode(): Int

    Definition Classes

    AnyRef → Any

15. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

16. def label: String

    Definition Classes

    Operator

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

    Definition Classes

    AnyRef

18. final def notify(): Unit

    Definition Classes

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19. final def notifyAll(): Unit

    Definition Classes

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

    Definition Classes

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21. def toString(): String

    Definition Classes

    AnyRef → Any

22. final def wait(): Unit

    Definition Classes

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    Annotations

    @throws( ... )

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( ... )

25. final def withData(data: PipelineDataset[DenseVector[Double]]): Pipeline[DenseVector[Double], DenseVector[Double]]

    Constructs a pipeline that fits this estimator to training data, then applies the resultant transformer to the Pipeline input.

    Constructs a pipeline that fits this estimator to training data, then applies the resultant transformer to the Pipeline input.

    data

    The training data

    returns

    A pipeline that fits this estimator and applies the result to inputs.

    Definition Classes

    Estimator

26. final def withData(data: RDD[DenseVector[Double]]): Pipeline[DenseVector[Double], DenseVector[Double]]

    Constructs a pipeline that fits this estimator to training data, then applies the resultant transformer to the Pipeline input.

    Constructs a pipeline that fits this estimator to training data, then applies the resultant transformer to the Pipeline input.

    data

    The training data

    returns

    A pipeline that fits this estimator and applies the result to inputs.

    Definition Classes

    Estimator