Packages

class Normalizer extends VectorTransformer

Normalizes samples individually to unit Lp norm

For any 1 <= p < Double.PositiveInfinity, normalizes samples using sum(abs(vector).p)(1/p) as norm.

For p = Double.PositiveInfinity, max(abs(vector)) will be used as norm for normalization.

Annotations
@Since("1.1.0")
Linear Supertypes
VectorTransformer, Serializable, AnyRef, Any
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  1. Normalizer
  2. VectorTransformer
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  1. Public
  2. Protected

Instance Constructors

  1. new Normalizer()
    Annotations
    @Since("1.1.0")
  2. new Normalizer(p: Double)

    p

    Normalization in Lp space, p = 2 by default.

    Annotations
    @Since("1.1.0")

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
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    @throws(classOf[java.lang.Throwable])
  9. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
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    @native()
  10. def hashCode(): Int
    Definition Classes
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    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  13. final def notify(): Unit
    Definition Classes
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    @native()
  14. final def notifyAll(): Unit
    Definition Classes
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    @native()
  15. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  16. def toString(): String
    Definition Classes
    AnyRef → Any
  17. def transform(vector: Vector): Vector

    Applies unit length normalization on a vector.

    Applies unit length normalization on a vector.

    vector

    vector to be normalized.

    returns

    normalized vector. If the norm of the input is zero, it will return the input vector.

    Definition Classes
    Normalizer → VectorTransformer
    Annotations
    @Since("1.1.0")
  18. def transform(data: JavaRDD[Vector]): JavaRDD[Vector]

    Applies transformation on a JavaRDD[Vector].

    Applies transformation on a JavaRDD[Vector].

    data

    JavaRDD[Vector] to be transformed.

    returns

    transformed JavaRDD[Vector].

    Definition Classes
    VectorTransformer
    Annotations
    @Since("1.1.0")
  19. 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
    Annotations
    @Since("1.1.0")
  20. final def wait(): Unit
    Definition Classes
    AnyRef
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    @throws(classOf[java.lang.InterruptedException])
  21. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
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    @throws(classOf[java.lang.InterruptedException])
  22. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
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    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from VectorTransformer

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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