StandardScalerModel

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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12. val mean: Vector

    

    column mean values

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

    

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14. final def notify(): Unit

    

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15. final def notifyAll(): Unit

    

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

    

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17. def toString(): String

    

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18. def transform(vector: Vector): Vector

    

    Applies standardization transformation on a vector.

    Applies standardization transformation on a vector.

    vector

    Vector to be standardized.

    returns

    Standardized vector. If the variance of a column is zero, it will return default 0.0 for the column with zero variance.

    Definition Classes

    StandardScalerModel → VectorTransformer

19. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

    

    Applies transformation on an JavaRDD[Vector].

    Applies transformation on an JavaRDD[Vector].

    data

    JavaRDD[Vector] to be transformed.

    returns

    transformed JavaRDD[Vector].

    Definition Classes

    VectorTransformer

20. def transform(data: RDD[Vector]): RDD[Vector]

    

    Applies transformation on an RDD[Vector].

    Applies transformation on an RDD[Vector].

    data

    RDD[Vector] to be transformed.

    returns

    transformed RDD[Vector].

    Definition Classes

    VectorTransformer

21. val variance: Vector

    

    column variance values

22. final def wait(): Unit

    

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

    

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

    

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25. val withMean: Boolean

    

    whether to center the data before scaling

26. val withStd: Boolean

    

    whether to scale the data to have unit standard deviation