Object

com.spotify.featran.transformers

Normalizer

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object Normalizer extends SettingsBuilder with Serializable

Transform vector features by normalizing each vector to have unit norm. Parameter p specifies the p-norm used for normalization (default 2).

Missing values are transformed to zero vectors.

When using aggregated feature summary from a previous session, vectors of different dimensions are transformed to zero vectors and FeatureRejection.WrongDimension rejections are reported.

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  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. def apply(name: String, p: Double = 2.0, expectedLength: Int = 0): Transformer[Array[Double], Int, Int]

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    Create a new Normalizer instance.

    Create a new Normalizer instance.

    p

    normalization in Lp space, must be greater than or equal to 1.0

    expectedLength

    expected length of the input vectors, or 0 to infer from data

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. def fromSettings(setting: Settings): Transformer[Array[Double], Int, Int]

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    Create a new OneHotEncoder from a settings object

    Create a new OneHotEncoder from a settings object

    setting

    Settings object

    Definition Classes
    NormalizerSettingsBuilder
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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Inherited from Serializable

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Inherited from SettingsBuilder

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