NaiveBayesTransformer

Value Members

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

   

   Definition Classes

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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

   

   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

   NaiveBayesTransformer → Transformer

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

   

   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

   CategoricalTransformer → Transformer

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def classLabels: Seq[String]

   

   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

   NaiveBayesTransformer → CategoricalTransformer

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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    protected[java.lang]

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

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

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def score(row: Row): ClassificationResult

    

    Definition Classes

    ClassificationTransformer → MLTransformer

19. def scoreConfidences(row: Row): Array[Double]

    

    Definition Classes

    NaiveBayesTransformer → ClassificationTransformer

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

    

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21. def toString(): String

    

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22. final def wait(): Unit

    

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    @throws( ... )

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

    

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

    

    Definition Classes

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    @throws( ... )