Trait

com.alpine.transformer

ClusteringTransformer

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trait ClusteringTransformer extends CategoricalTransformer[ClusteringResult]

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  1. ClusteringTransformer
  2. CategoricalTransformer
  3. MLTransformer
  4. Transformer
  5. Serializable
  6. Serializable
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Type Members

  1. type Row = Seq[Any]

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    Shorthand for the input / output type of the apply method.

    Shorthand for the input / output type of the apply method. Equivalent to Seq[Any].

    Definition Classes
    Transformer

Abstract Value Members

  1. abstract def classLabels: Seq[String]

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    The result must always return the labels in the order specified here.

    The result must always return the labels in the order specified here.

    returns

    The class labels in the order that they will be returned by the result.

    Definition Classes
    CategoricalTransformer
  2. abstract def scoreDistances(row: Row): Array[Double]

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Concrete 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. def allowNullValues: Boolean

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    Allows the transformer to specify if the apply method can handle null values in the input row.

    Allows the transformer to specify if the apply method can handle null values in the input row.

    e.g. a Null value replacement transformer, or a Naive Bayes transformer would naturally handle null values, but a Linear Regression transformer would not.

    Default value is false.

    returns

    Boolean indicating tolerance for null values in input.

    Definition Classes
    Transformer
  5. def apply(row: Row): Seq[Any]

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    This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.

    This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.

    This method is not required to be thread-safe.

    row

    The row of input to be scored.

    returns

    The result from applying the trained model to the row.

    Definition Classes
    CategoricalTransformerTransformer
  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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  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. def score(row: Row): ClusteringResult

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    Definition Classes
    ClusteringTransformerMLTransformer
  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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  20. final def wait(): Unit

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    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from Transformer

Inherited from Serializable

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